Car Racing Line Optimization with Genetic Algorithm using Approximate Homeomorphism
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00353516" target="_blank" >RIV/68407700:21230/21:00353516 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/21:00353516
Result on the web
<a href="http://dx.doi.org/10.1109/IROS51168.2021.9636503" target="_blank" >http://dx.doi.org/10.1109/IROS51168.2021.9636503</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IROS51168.2021.9636503" target="_blank" >10.1109/IROS51168.2021.9636503</a>
Alternative languages
Result language
angličtina
Original language name
Car Racing Line Optimization with Genetic Algorithm using Approximate Homeomorphism
Original language description
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 evaluate the fitness of racing lines by lap time estimation using a vehicle model suitable for F1/10 autonomous racing competition. By comparing to the former state-of-the-art, we show that our method is able to find racing lines with lower lap times. Specifically, on one of the testing tracks, we achieve 2.5% improvement.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/8A19011" target="_blank" >8A19011: Arrowhead Tools for Engineering of Digitalisation Solutions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
ISBN
978-1-6654-1714-3
ISSN
2153-0858
e-ISSN
2153-0866
Number of pages
7
Pages from-to
601-607
Publisher name
IEEE
Place of publication
Piscataway
Event location
Praha
Event date
Sep 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000755125500059