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:1.7964
- @InProceedings{tanev:2005:CEC,
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author = "Ivan Tanev and Michal Joachimczak and
Hitoshi Hemmi and Katsunori Shimohara",
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title = "Evolution of the Driving Styles of Anticipatory Agent
Remotely Operating a Scaled Model of Racing Car",
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booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation (CEC-2005)",
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year = "2005",
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volume = "2",
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pages = "1891--1898",
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address = "Edinburgh",
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month = "2-4 " # sep,
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publisher = "IEEE",
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email = "itanev@mail.doshisha.ac.jp",
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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",
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ISBN = "0-7803-9363-5",
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DOI = "doi:10.1109/CEC.2005.1554918",
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size = "8 pages",
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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.",
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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