Improved Hybrid A* Algorithm Based on Lemming Optimization for Path Planning of Autonomous Vehicles
Path planning for autonomous vehicles is a core component of intelligent transportation systems, playing a key role in ensuring driving safety, improving driving efficiency, and optimizing the user experience. To address the challenges of safety, smoothness, and search efficiency in path planning fo...
Saved in:
| Main Authors: | Yong Chen, Yuan Liu, Wei Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/14/7734 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
by: Yuexia Tang, et al.
Published: (2025-02-01) -
Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks
by: Yuchu Ji, et al.
Published: (2025-07-01) -
Speed and Path Planning Optimization of Autonomous Vehicle to Minimize Lap Time in Racing Track
by: Young-Jin Roh, et al.
Published: (2025-01-01) -
Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles
by: Alexandre Benoit, et al.
Published: (2024-09-01) -
Research on path planning of mobile robots based on improved A* algorithm
by: Xing Fu, et al.
Published: (2025-02-01)