Selected Projects
2018 Unmanned Ground Vehicle Challenge
The competition is mainly aimed at off-road complex scenes, and puts extremely high demands on the planning decision-making ability of unmanned vehicles. As the leader of the planning and decision-making group, I am responsible for the formulation of the overall technical solution, program development and real vehicle testing. For the requirements of the game, we developed a global planning and re-planning algorithm based on topological maps, sampling-based and search-based motion planning algorithm goal point extraction algorithm and speed planning algorithm. And we won the third and sixth place.
Previous Projects
RCS Framework Test
We conducted a series of urban road tests based on the RCS framework and the ubuntu system. RCS is a real-time control system that uses shared memory for data transfer. We built the entire software framework and modularized the program, which provided an important foundation for subsequent program testing and development.
Intelligent Bus in Beijing
I was responsible for the development and testing of early partial path planning, including obstacle avoidance, path selection consistency, and path planning based on lane line constraints.
Intelligent Minibus in Shenzhen
Responsible for planning algorithm development and testing.
2016 Unmanned Ground Vehicle Challenge
Responsible for debugging the path planning algorithm.
Differential Driven Platform Test
Responsible for system communication test and planning algorithm debugging.