Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving
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DOI: 10.1109/tits.2020.3004984
Abstract: In autonomous driving, many learning-based methods for motion planing have been proposed in literature, which can predict motion commands directly from the sensory data of the environment, but these methods can neither predict multiple motion… read more here.
Keywords: multiple motion; motion; autonomous driving; neural network ... See more keywords
Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3025671
Abstract: Motion planning is one of the most significant part in autonomous driving. Learning-based motion planning methods attract many researchers’ attention due to the abilities of learning from the environment and directly making decisions from the… read more here.
Keywords: motion; based motion; motion commands; method ... See more keywords