Bruno.DiStefano
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 Posted: Fri Oct 31, 2008 1:33 pm Post subject: "Artificial Intelligence Stops the Car (so you don’t have to |
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Interesting lectures if you live within travelling distance from
Toronto, Ontario, Canada
Details at: http://toronto.ieee.ca/events/nov0408.htm
Title
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Artificial Intelligence Stops the Car (so you don't have to)
Speaker
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Dr. Daniel Fischer, P.Eng., SMIEEE
Day and Time
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Tuesday, November 4, 2008, 6:00 p.m. 8:00 p.m.
Location
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Room BA BA1170
Bahen Centre for Information Technology
University of Toronto - St. George Campus
40 St. George Street
See: http://oracle.osm.utoronto.ca/map/index2.html, code BA
Organizer
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IEEE Toronto "Signals and Computational Intelligence" Joint Chapter
Contact Bruno Di Stefano, b_DOT_distefano_AT_IEEE_DOT_org
Abstract
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Many of us have heard of Fuzzy Logic and Neural Networks, two major
Artificial Intelligence domains. Perhaps, when looking at Neural
Networks, we were exposed to different network structures (e.g. feed
forward with backpropagation learning, radial basis function, etc), or
different learning approaches (supervised vs. unsupervised). When
considering Fuzzy Logic, we have learned about fuzzy sets, fuzzy
membership functions, fuzzification, inference and aggregation,
defuzzification. All this information is useful in order to understand
the details of what goes on inside a Neural Network or a Fuzzy System
when they perform their computations. However, the same details may
not be particularly helpful in showing when a certain technology is
likely to be successful when applied to an application. In this
tutorial, as an application example, we will show how Artificial
Intelligence can be used to achieve a task we, humans, are pretty good
at: stopping a car before it crashes into a wall. We will use a Neural
Network to implement our acquired driving experience: the ability to
estimate the stopping distance, given the vehicle's speed and applied
pressure on the break pedal. We will use a Fuzzy Logic system to
capture the driver's style: aggressive, delaying pressing on the break
pedal until the last moment, or relaxed, starting the stopping process
early. We will show how we can implement a smooth stop and will
implement all this in a simulation running under Matlab Simulink. It
is unlikely that this tutorial will improve our driving abilities,
however it is hoped that our understanding of applied Artificial
Intelligence would increase.
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
Feel free to bring along any colleague who may be interested in this
talks.
The "Signals & Computational Intelligence" Chapter
(http://toronto.ieee.ca/chapters/s_ci.htm) of the IEEE Toronto
Section
(http://toronto.ieee.ca/index.html ) is a joint chapter of:
* IEEE Computational Intelligence Society
* IEEE Control Systems Socie
* IEEE Geoscience and Remote Sensing Society
* IEEE Information Theory Society
* IEEE Intelligent Transportation Society
* IEEE Oceanic Engineering Society
* IEEE Ultrasound, Ferroelectrics, and Frequency Control Society
* IEEE Vehicular Technology Society
If you are a member of one or more of these societies and wish to be
active in our chapter, please, write to me an short e-mail message.
Thank you.
Best regards
Bruno Di Stefano
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