arxivcs.ROcs.LG2026-07-12
BucketKD: A Safety-Aware Bucket-Based Knowledge Distillation Framework for End-to-End Motion Planning
Md Nahidul Islam, Mohd Hasan Ali, Dipankar Dasgupta, Myounggyu Won
End-to-end motion planning has emerged as a promising paradigm in autonomous driving, directly mapping raw sensor data to control commands via deep neural networks. Despite its advantages, its large model size hinders deployment in resource-constrained platforms. In this paper, w…