Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs. (arXiv:2205.04799v1 [cs.RO])

Web: http://arxiv.org/abs/2205.04799

The use of machine learning in the self-driving industry has boosted a number
of recent advancements. In particular, the usage of large deep learning models
in the perception and prediction stack have proved quite successful, but there
still lacks significant literature on the use of machine learning in the
planning stack. The current state of the art in the planning stack often relies
on fast constrained optimization or rule-based approaches. Both of these
techniques fail to address a significant number …

arxiv network neural neural network recurrent neural network