Evolution of the Driving Styles of Anticipatory Agent Remotely Operating a Scaled Model of Racing Car

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Ivan Tanev and Michal Joachimczak and 
                 Hitoshi Hemmi and Katsunori Shimohara",
  title =        "Evolution of the Driving Styles of Anticipatory Agent
                 Remotely Operating a Scaled Model of Racing Car",
  booktitle =    "Proceedings of the 2005 IEEE Congress on Evolutionary
                 Computation (CEC-2005)",
  year =         "2005",
  volume =       "2",
  pages =        "1891--1898",
  address =      "Edinburgh",
  month =        "2-4 " # sep,
  publisher =    "IEEE",
  email =        "itanev@mail.doshisha.ac.jp",
  keywords =     "genetic algorithms, genetic programming, Automatic
                 control, Cameras, Delay, Feedback, Feeds, Humans,
                 Optimal control, Radio control, Radio transmitters,
                 Remotely operated vehicles, evolutionary computation,
                 mobile robots, remotely operated vehicles, software
                 agents, agent actions, agent-operated car, anticipatory
                 agent, anticipatory modelling, driving agent, driving
                 style evolution, overhead camera, racing car, radio
                 control transmitter, remote operation, remotely
                 operated vehicle, software simulator, video feed
                 latency, video feedback",
  ISBN =         "0-7803-9363-5",
  DOI =          "doi:10.1109/CEC.2005.1554918",
  size =         "8 pages",
  abstract =     "We present an approach for automated evolutionary
                 design of driving agent, able to remotely operate a
                 scale model of racing car running in a fastest possible
                 way. The agent's actions are conveyed to the car via
                 standard radio control transmitter. The agent perceives
                 the environment from a live video feedback of an
                 overhead camera. In order to cope with the inherent
                 video feed latency, which renders even the
                 straightforward tasks of following simple routes
                 unsolvable, we implement an anticipatory modelling -
                 the agent considers its current actions based on
                 anticipated intrinsic (rather than currently available,
                 outdated) state of the car and its surrounding. The
                 driving style (i.e. the driving line combined with the
                 speed at which the car travels along this line) is
                 first evolved offline on a software simulator of the
                 car and then adapted online to the real world.
                 Experimental results demonstrate that on long runs the
                 agent operated car is only marginally slower than a
                 human operated one, while the consistence of lap times
                 posted by the evolved driving style of the agent is
                 better than that of a human. This work can be viewed as
                 a step towards the development of a framework for
                 automated design of the controllers of remotely
                 operated vehicles capable to find an optimal solution
                 to various tasks in different traffic situations and
                 road conditions.",
  notes =        "CEC2005 - A joint meeting of the IEEE, the IEE, and
                 the EPS.",

Genetic Programming entries for Ivan T Tanev Michal Joachimczak Hitoshi Hemmi Katsunori Shimohara