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RSPMP: real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments

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RSPMP

RSPMP: https://link.springer.com/article/10.1007/s10489-022-03283-z

RSPMP Scout

Build

environment

  • OS:Ubuntu16.04 or Ubuntu18.04
  • ROS: kinetic or Melodic
  • Depend:octomap_server, gridmap
  1. git clone [email protected]:DLonng/RSPMP.git
  2. catkin_make
  3. according error to apt install lib:sudo apt-get install ros-[dist]-[xxx]

Node

agilex_msgs

  • custom msg for semantic pointcloud

lidar_camera_fusion

  • fun: fusion pointcloud and semantic img, output semantic pointcloud
  • input: raw pointcloud, raw semantic img, calibration matrix, semantic confidence
  • output: semantic pointcloud

octomap_generator

  • fun: based on the input semantic point cloud and localization information, real-time construction of a local semantic 3D voxel map centered around the vehicle, which is then projected into a 2D cost map for subsequent local path planning
  • input: fusion semantic pointcloud, location tf
  • output: semantic 3D voxel map, 2D costmap

sem_dwa_planner

  • fun: incorporate DWA (Dynamic Window Approach) for local planning based on the 2D costmap, with DWA introducing semantic costs. The planning process minimizes semantic costs.
  • input: 2D costmap, ego status
  • output: ego control signals

semantic segmentation

This project does not provide a model for the semantic segmentation node. You can use any real-time semantic segmentation model of your choice.

Run

Mapping

  1. Only mapping, you can record dataset
  2. dataset topics:/raw_img, /raw_lidar, /tf,/semantic_img, /semantic_confidence
  3. start fusion node:roslaunch lidar_camera_fusion lidar_camera_fusion_no_msg_sem.launch
  4. start mapping node:roslaunch octomap_generator octomap_generator.launch
  5. fusion mapping:roalaunch octomap_generator octomap_generator_mapping_scout.launch

Planning

reference project

evelation_mapping

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RSPMP: real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments

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