OPTIMIZING AUTONOMOUS VEHICLE PATH PLANNING USING REINFORCEMENT LEARNING AND DYNAMIC MAPPING
Path planning is essential for autonomous driving, enabling secure and effective navigation in intricate and dynamic settings. This research examines the combination of Reinforcement Learning (RL) with dynamic mapping to enhance route planning in autonomous vehicles (AVs). RL enables AVs to ascertai...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
XLESCIENCE
2024-12-01
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| Series: | International Journal of Advances in Signal and Image Sciences |
| Subjects: | |
| Online Access: | https://xlescience.org/index.php/IJASIS/article/view/179 |
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