This repository contains the ROS package with code implementation of RRT-based path planning algorithm suitable for exploration of a trackdrive circuit according to the rules of Formula Student Driverless competition in Germany. This algorithm is based on my contribution to E-gnition, a FS Team of Technical University Hamburg.
A brief introduction to the main steps of the proposed algorithm is given in my Master's thesis presentation (direct timestamp).
- The algorithm does not utilize the cones' color information, but instead a simple logic is used, which rewards the branches with cones from both sides (see findBestBranch(...) method), and penalizes the branches having cones only from one side. With cone classification information a better rating system can be implemented and applied.
- Unfortunately I wasn't able to test and see this algorithm working on real hardware, a FS Driverless car, so I am excited if you can bring it the reality on any mobile robot and share some videos with me (see section Usage)
- Exploration of FSG'18 trackdrive circuit in Gazebo.
- Exploration of FSG'17 trackdrive circuit in Gazebo.
- Exploration of ISCC'21 in Korea Track Mission in Real HW (ERP-42) - Jeong Boin
- Your video (feel free to pull-request a link with it here).
- rospy.Subscriber("/map", Map, ...)
- rospy.Subscriber("/odometry", Odometry, ...)
- rospy.Publisher("/waypoints", WaypointsArray, ...)
- rospy.Publisher("/visual/tree_marker_array", MarkerArray, ...)
- rospy.Publisher("/visual/best_tree_branch", Marker, ...)
- rospy.Publisher("/visual/filtered_tree_branch", Marker, ...)
- rospy.Publisher("/visual/delaunay_lines", Marker, ...)
- rospy.Publisher("/visual/waypoints", MarkerArray, ...)
- planDistance = 12 m - Maximum length of tree branch
- expandDistance = 1 m - Length of tree node/step
- expandAngle = 20 deg - constraining angle for next tree nodes
- coneObstacleSize = 1.1 m - size of obstacles derived from cone position
- coneTargetsDistRatio = 0.5 - ratio to frontConesDist for deriving remote cone goals
- Use me and my code in any way you want
- Keep the names and the same licence
Edit. FROZEN Team from Sookmyung Women's University
- Jeong Boin : Decision - System Architecture Design, Motion Planning(+local purepursuit), Module Integration
- Lee Sunmyung (github.com/leesunmyung) : Perception - LiDAR Sensor Programming, Obstacle Recognition & Distance Data Callback
- Shin Sujin : Control - PID, PD control(longtitudinal Control), Purepursuit(latitudinal Control)
- rospy.Subscriber("/track", Track, ...)
- rospy.Subscriber("/newwaypoints", WaypointsArray, ...)
- rospy.Publisher("/waypoints", WaypointsArray, ...)
- Same as the original
- Same as the original
