nestormh/svm_path_planner
Multiclass SVM Path Planner
Discovered public repositories for nestormh in the GitHub catalog.
Multiclass SVM Path Planner
Obstacle Detection and Planning for Autonomous Vehicles based on Computer Vision Techniques
Code used in tutorials found on ROS wiki. Modified in order to accept params from the param server from the very beginning in turtlesim.
Method able to detect the location and estimate the motion of obstacles, using just a 3D point cloud and odometry information as input.
Frenet transformation space.
sdsdgsdg
GPU implementation of the method described at: Myronenko A., Song X. (2010): "Point-Set Registration: Coherent Point Drift", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 32, issue 12, pp. 2262-2275
StixelWorld
Polar Calibration method based on the paper "M. Pollefeys, R. Koch and L. Van Gool, A simple and efficient rectification method for general motion, Proc. International Conference on Computer Vision, pp.496-501, Corfu (Greece), 1999.", which is available at http://www.inf.ethz.ch/personal/pomarc/pubs/PollefeysICCV99.pdf