Ad Hoc-Obstacle Avoidance-Based Navigation System Using Deep Reinforcement Learning for Self-Driving Vehicles

In this research, a novel navigation algorithm for self-driving vehicles that avoids collisions with pedestrians and ad hoc obstacles is described. The proposed algorithm predicts the locations of ad hoc obstacles and wandering pedestrians by using an RGB-D depth sensor. Unique ad hoc-obstacle-aware...

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Autors principals:	N. S. Manikandan, Ganesan Kaliyaperumal, Yong Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Access
Matèries:	Self-driving vehicle deep reinforcement learning ad hoc-obstacles obstacle avoidance lane detection object detection
Accés en línia:	https://ieeexplore.ieee.org/document/10189852/
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