Paper Info
Title
Trajectory optimization for car races using genetic algorithms.
Abstract
In this paper, we present an application of genetic algorithms to a problem of optimizing a car trajectory in a closed loop car race setting. The goal is to minimize the amount of turning that the car needs to do such that it can drive faster, or the total distance that it needs to travel to finish the race. We compare the results with a procedurally computed trajectory and with an optimized version of it using smoothing methods.1
Year
DOI
Venue
2019
10.1145/3319619.3326792
GECCO
Keywords
Field
DocType
trajectory optimization, autonomous cars, car race
Mathematical optimization,Trajectory optimization,Computer science,Genetic algorithm
Conference
ISBN
Citations 
PageRank 
978-1-4503-6748-6
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Dana Vrajitoru100.34