Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization

Sampling trajectories from a distribution followed by ranking them based on a specified cost function is a common approach in autonomous driving. Typically, the sampling distribution is hand-crafted (e.g a Gaussian, or a grid). Recently, there have been efforts towards learning the sampling distribu...

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Veröffentlicht in:	Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems S. 3260 - 3267
Hauptverfasser:	Idoko, Simon, Sharma, Basant, Singh, Arun Kumar
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.10.2024
Schlagworte:	Autoencoders Autonomous vehicles Collision avoidance Cost function Driver behavior Intelligent robots Safety Self-supervised learning Trajectory Vectors
ISSN:	2153-0866
Online-Zugang:	Volltext
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