Title
Car Racing Line Optimization with Genetic Algorithm using Approximate Homeomorphism
Abstract
In every timed car race, the goal is to drive through the racing track as fast as possible. The total time depends on selection of the racing line. Following a better racing line often decides who wins. In this paper, we solve the optimal racing line problem using a genetic algorithm. We propose a novel racing line encoding based on a homeomorphic transformation called Matryoshka mapping. We evalu...
Year
DOI
Venue
2021
10.1109/IROS51168.2021.9636503
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Keywords
DocType
ISSN
Layout,Estimation,Color,Approximation algorithms,Encoding,Automobiles,Optimization
Conference
2153-0858
ISBN
Citations 
PageRank 
978-1-6654-1714-3
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Jaroslav Klapálek100.34
Antonin Novak272.86
Michal Sojka300.34
Zdenk Hanzálek4576.67