Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |
Package Dependencies
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged probabilistic_occupancy_grid_map at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.1.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/ieiauto/autodrrt.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-05-30 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Yukihiro Saito
- Yoshi Ri
- Mamoru Sobue
Authors
- Yukihiro Saito
probabilistic_occupancy_grid_map
Purpose
This package outputs the probability of having an obstacle as occupancy grid map.
References/External links
Settings
Occupancy grid map is generated on map_frame
, and grid orientation is fixed.
You may need to choose scan_origin_frame
and gridmap_origin_frame
which means sensor origin and gridmap origin respectively. Especially, set your main LiDAR sensor frame (e.g. velodyne_top
in sample_vehicle) as a scan_origin_frame
would result in better performance.
Each config parameters
Config parameters are managed in config/*.yaml
and here shows its outline.
- Pointcloud based occupancy grid map
Ros param name | Default value |
---|---|
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
use_height_filter | true |
enable_single_frame_mode | false |
filter_obstacle_pointcloud_by_raw_pointcloud | false |
map_length | 150.0 [m] |
map_resolution | 0.5 [m] |
use_projection | false |
projection_dz_threshold | 0.01 |
obstacle_separation_threshold | 1.0 |
input_obstacle_pointcloud | true |
input_obstacle_and_raw_pointcloud | true |
- Laserscan based occupancy grid map
Ros param name | Default value |
---|---|
map_length | 150 [m] |
map_width | 150 [m] |
map_resolution | 0.5 [m] |
use_height_filter | true |
enable_single_frame_mode | false |
map_frame | “map” |
base_link_frame | “base_link” |
scan_origin_frame | “base_link” |
gridmap_origin_frame | “base_link” |
Other parameters
Additional argument is shown below:
Name | Default | Description |
---|---|---|
use_multithread |
false |
whether to use multithread |
use_intra_process |
false |
|
map_origin |
`` | parameter to override map_origin_frame which means grid map origin |
scan_origin |
`` | parameter to override scan_origin_frame which means scanning center |
output |
occupancy_grid |
output name |
use_pointcloud_container |
false |
|
container_name |
occupancy_grid_map_container |
|
input_obstacle_pointcloud |
false |
only for laserscan based method. If true, the node subscribe obstacle pointcloud |
input_obstacle_and_raw_pointcloud |
true |
only for laserscan based method. If true, the node subscribe both obstacle and raw pointcloud |