Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

4-2002

Abstract

Intelligent vehicles are beginning to appear on the market, but so far their sensing and warning functions only work on the open road. Functions such as runoff-road warning or adaptive cruise control are designed for the uncluttered environments of open highways. We are working on the much more difficult problem of sensing and driver interfaces for driving in urban areas. We need to sense cars and pedestrians and curbs and fire plugs and bicycles and lamp posts; we need to predict the paths of our own vehicle and of other moving objects; and we need to decide when to issue alerts or warnings to both the driver of our own vehicle and (potentially) to nearby pedestrians. No single sensor is currently able to detect and track all relevant objects. We are working with radar, ladar, stereo vision, and a novel light-stripe range sensor. We have installed a subset of these sensors on a city bus, driving through the streets of Pittsburgh on its normal runs. We are using different kinds of data fusion for different subsets of sensors, plus a coordinating framework for mapping objects at an abstract level.

Discipline

Artificial Intelligence and Robotics

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of SPIE Unmanned Ground Vehicle Technology IV, Orlando, Florida, 2002 April 1-5

Volume

4715

First Page

201

Last Page

205

ISBN

0819444650

Identifier

10.1117/12.474450

Publisher

SPIE

City or Country

USA

Additional URL

https://doi.org/10.1117/12.474450

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