Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]
Messages
Services
Plugins
Recent questions tagged autoware_traffic_light_fine_detector at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.46.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/autowarefoundation/autoware_universe.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-31 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Tao Zhong
- Yoshi Ri
- Shintaro Tomie
- Masato Saeki
- Taekjin Lee
Authors
autoware_traffic_light_fine_detector
Purpose
It is a package for traffic light detection using YOLOX-s.
Training Information
Pretrained Model
The model is based on YOLOX and the pretrained model could be downloaded from here.
Training Data
The model was fine-tuned on around 17,000 TIER IV internal images of Japanese traffic lights.
Trained Onnx model
You can download the ONNX file using these instructions.
Please visit autoware-documentation for more information.
Inner-workings / Algorithms
Based on the camera image and the global ROI array detected by map_based_detector
node, a CNN-based detection method enables highly accurate traffic light detection. If can not detect traffic light, x_offset, y_offset, height and width of output ROI become 0
.
ROIs detected from YOLOX will be selected by a combination of expect/rois
. At this time, evaluate the whole as ROIs, not just the ROI alone.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
~/input/image |
sensor_msgs::msg::Image |
The full size camera image |
~/input/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector |
~/expect/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The array of ROIs detected by map_based_detector without any offset, used to select the best detection results |
Output
Name | Type | Description |
---|---|---|
~/output/rois |
tier4_perception_msgs::msg::TrafficLightRoiArray |
The detected accurate rois |
~/debug/exe_time_ms |
autoware_internal_debug_msgs::msg::Float32Stamped |
The time taken for inference |
Parameters
{{ json_to_markdown(“perception/autoware_traffic_light_fine_detector/schema/traffic_light_fine_detector.schema.json”) }} |
Assumptions / Known limits
Reference repositories
YOLOX github repository
Changelog for package autoware_traffic_light_fine_detector
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
- Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
- chore: update traffic light packages code owner (#10644) chore: add Taekjin Lee as maintainer to multiple perception packages
- Contributors: Taekjin LEE, TaikiYamada4
0.44.2 (2025-06-10)
0.44.1 (2025-05-01)
0.44.0 (2025-04-18)
0.43.0 (2025-03-21)
-
Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
-
chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
-
chore(perception): refactor perception launch (#10186)
- fundamental change
- style(pre-commit): autofix
- fix typo
- fix params and modify some packages
- pre-commit
- fix
- fix spell check
- fix typo
- integrate model and label path
- style(pre-commit): autofix
- for pre-commit
- run pre-commit
- for awsim
- for simulatior
- style(pre-commit): autofix
- fix grammer in launcher
- add schema for yolox_tlr
- style(pre-commit): autofix
- fix file name
- fix
- rename
- modify arg name to
- fix typo
- change param name
- style(pre-commit): autofix
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shintaro Tomie <<58775300+Shin-kyoto@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>
-
refactor: add autoware_cuda_dependency_meta (#10073)
-
Contributors: Esteve Fernandez, Hayato Mizushima, Masato Saeki, Yutaka Kondo
0.42.0 (2025-03-03)
-
Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
-
chore: refine maintainer list (#10110)
- chore: remove Miura from maintainer
* chore: add Taekjin-san to perception_utils package maintainer ---------
-
feat(autoware_traffic_light_fine_detector): created the schema file,updated the readme file and deleted the default parameter in node files code (#10106)
- feat(autoware_traffic_light_fine_detector): Created the schema file, updated the readme file and deleted the default parameter in node files code
- style(pre-commit): autofix
- fix declare_parameter
- chore
- change launch file
- change type
- style(pre-commit): autofix
- fix definition name
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Name | Deps |
---|---|
tier4_perception_launch |
Launch files
- launch/traffic_light_fine_detector.launch.xml
-
- data_path [default: $(env HOME)/autoware_data]
- input/image [default: /image_raw]
- input/rois [default: /traffic_light_map_based_detector/output/rois]
- expect/rois [default: ~/expect/rois]
- output/rois [default: ~/output/rois]
- param_path [default: $(find-pkg-share autoware_traffic_light_fine_detector)/config/traffic_light_fine_detector.param.yaml]
- model_path [default: $(var data_path)/traffic_light_fine_detector/tlr_car_ped_yolox_s_batch_6.onnx]
- label_path [default: $(var data_path)/traffic_light_fine_detector/tlr_labels.txt]
- build_only [default: false]