Automobile driving support system evolved by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Yakami:2016:TENCON,

• author = "Go Yakami and Ivan Tanev and Katsunori Shimohara and Shigeru Katagiri and Miho Ohsaki",
• booktitle = "2016 IEEE Region 10 Conference (TENCON)",
• title = "Automobile driving support system evolved by Genetic Programming",
• year = "2016",
• pages = "255--258",
• abstract = "We study a new approach, based on Genetic Programming, for generating automobile driving agents (driving rules). In a simulation environment, we develop agents for two tasks: lane departure recovery and risk avoidance lane change. The agents control a car by operating its front wheels using such observations as the distance between the car and the centreline. Our GP process generates an appropriate rule for front wheel operation. We experimentally demonstrate that our GP-based approach successfully generates an effective driving agent (rule).",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/TENCON.2016.7848001",
• month = nov,
• notes = "Also known as \cite{7848001}",

}

Genetic Programming entries for Go Yakami Ivan T Tanev Katsunori Shimohara Shigeru Katagiri Miho Ohsaki

Citations