Intelligent Vehicle Path Based on Discretized Sampling Points and Improved Cost Function: A Quadratic Programming Approach

Intelligent Vehicle Path Based on Discretized Sampling Points and Improved Cost Function: A Quadratic Programming Approach

The paper introduces a quadratic programming algorithm for real-time local path planning of autonomous vehicles. The algorithm relies on discretized sampling points and an enhanced cost function. Initially, we formulate the cost function to optimize the reference trajectory and establish the Frenet...

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Bibliographic Details
Main Authors: Chengtao Zhang, Weihang Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autonomous driving
path planning
quadratic programming
cost function
Online Access:https://ieeexplore.ieee.org/document/10430166/

Internet

https://ieeexplore.ieee.org/document/10430166/

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