LIDAR-based vehicle tracking for a virtual mirror

Michael Sergi, Craig Shankwitz, Max Donath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Low visibility conditions and blind zones induce hazards to driving and have been shown to be a cause of many automobile crashes every year. In order to reduce these effects, the virtual mirror, a computer-generated display that uses a high-accuracy DGPS system coupled with an onboard geo-spatial database, was used to render the view that the driver would see in a mirror-like display. In order to correctly display and integrate the information (lane boundaries, etc.) from the database with the sensed objects, a real-time method of locating and tracking nearby vehicles was developed. This paper outlines the algorithms and equipment used to achieve real-time vehicle tracking based on a scanning laser range sensor, and the experiments performed to determine the accuracy of the virtual mirror's ability to correctly display moving vehicles in the sensor's field of view.

Original languageEnglish (US)
Title of host publicationIEEE Intelligent Vehicles Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages333-338
Number of pages6
ISBN (Electronic)0780378482
DOIs
StatePublished - Jan 1 2003
Event2003 IEEE Intelligent Vehicles Symposium, IV 2003 - Columbus, United States
Duration: Jun 9 2003Jun 11 2003

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Other

Other2003 IEEE Intelligent Vehicles Symposium, IV 2003
Country/TerritoryUnited States
CityColumbus
Period6/9/036/11/03

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