Automobile driving support system evolved by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  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
  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