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

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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Bibliographic Details
Main Authors: N. S. Manikandan, Ganesan Kaliyaperumal, Yong Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Self-driving vehicle
deep reinforcement learning
ad hoc-obstacles
obstacle avoidance
lane detection
object detection
Online Access:https://ieeexplore.ieee.org/document/10189852/

Internet

https://ieeexplore.ieee.org/document/10189852/

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