Package Summary
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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
| Version | 0.50.0 |
| 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 | 2026-02-25 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
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 artifacts 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
0.50.0 (2026-02-14)
- Merge remote-tracking branch 'origin/main' into humble
- chore(autoware_traffic_light_fine_detector): remove cudnn dependency (#11900)
- Contributors: Amadeusz Szymko, Ryohsuke Mitsudome
0.49.0 (2025-12-30)
- Merge remote-tracking branch 'origin/main' into prepare-0.49.0-changelog
- docs: fix broken links (#11815)
- Contributors: Mete Fatih Cırıt, Ryohsuke Mitsudome
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
fix: cppcheck for struct Detection (#11649)
- fix: remove unused Detection struct
- fix: add namespace for bevformer postprocessing
* style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
-
refactor(autoware_traffic_light_fine_detector): split utils and add test (#10365)
- split and add test
- add file
- style(pre-commit): autofix
- refactor
- refactor
- fix name
* chore
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
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
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]