Speed and Path Planning Optimization of Autonomous Vehicle to Minimize Lap Time in Racing Track
This study proposes a trajectory optimization method for racing vehicles, aiming to maximize speed and path planning performance by estimating tire friction coefficients. This method addresses the challenges inherent in high-speed racing environments, where tire friction and vehicle dynamics are cri...
Saved in:
Main Authors: | Young-Jin Roh, Ji-Ung Im, Jong-Hoon Won |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11044340/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Supervised and Reinforcement Learning for Motion-Sickness-Aware Path Tracking in Autonomous Vehicles
by: Yukang Lv, et al.
Published: (2025-06-01) -
An Efficient Autonomous Exploration Framework for Autonomous Vehicles in Uneven Off-Road Environments
by: Le Wang, et al.
Published: (2025-07-01) -
Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks
by: Yuchu Ji, et al.
Published: (2025-07-01) -
Improved Hybrid A* Algorithm Based on Lemming Optimization for Path Planning of Autonomous Vehicles
by: Yong Chen, et al.
Published: (2025-07-01) -
Designing for Trust: Enhancing Passenger Confidence in Shared Autonomous Vehicles
by: Xiongfeng Deng, et al.
Published: (2025-07-01)