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:1.8051

@InProceedings{tanev:2005:CEC,

• 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modelling - the agent considers its current actions based on anticipated intrinsic (rather than currently available, outdated) state of the car and its surrounding.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

Citations