Path Planning Based on Combination of Sampling and Learning-From-Demonstration for Static Obstacle Avoidance of Autonomous Vehicles

Path Planning Based on Combination of Sampling and Learning-From-Demonstration for Static Obstacle Avoidance of Autonomous Vehicles

This paper presents a sampling-based path planning algorithm for autonomous vehicles with the existence of static obstacles. Conventional sampling-based path planning algorithms pose challenges in balancing driving performance and sample efficiency. To overcome this issue, Learning-from-Demonstratio...

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Bibliographic Details
Main Authors: Youngmin Yoon, Ara Jo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Autonomous vehicle
path planning
learning-from-demonstration
sampling method
Online Access:https://ieeexplore.ieee.org/document/10947004/
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https://ieeexplore.ieee.org/document/10947004/

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