3D Object Tracking in Driving Environment
The files ‘demo_3D_KF.m’ and ‘demo_3D_MS.m’ are the baseline Kalman Filter and baseline Mean Shift Trackers.
Watch the result in the video below.
The algorithms are described in:
A. Asvadi, P. Girao, P. Peixoto, and U. Nunes, “3D Object Tracking using RGB and LIDAR Data,” accepted in IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Rio de Janeiro, Brazil.
P. Girao, A. Asvadi, P. Peixoto, and U. Nunes, “3D Object Tracking in Driving Environment: a short review and a benchmark dataset,” accepted in IEEE ITSC 2016, 8th International Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Rio de Janeiro, Brazil.