Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing
The efficacy of the proposed heterogeneous kernel metrics for Deep Kernel Learning is substantiated through experimental studies on a 1/10th scale racecar platform, demonstrating improved prediction accuracy and thereby safely overtaking against OVs.
Ho-Jin Lee, Youngim Nam, Sang-hoon Lee et al.
· IEEE Robotics and Automation... · 1 citation