Autonomous Overtaking Maneuver Under Complex Driving Conditions

Speaker: Jiyo Palatti  

Robotics Seminar Series. Next Session – 6th November 2020, 15:00-16:00, via zoom. Link to event: https://aalto.zoom.us/j/62124942899

Abstract:

This thesis focuses on the planning and control that goes into performing autonomous overtaking and subsequent lane-keeping. The proposed solution uses a combination of risk maps and reachable set to generate intermediate reference states based on the desired maneuver. A non-linear model predictive controller was developed in MATLAB to plan a trajectory to this intermediate reference state that avoids collisions. This control scheme was tested with different scenarios using the Carla simulation engine with ROS (Robotic Operating System) middleware for communication.

References:

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