LIDAR-based vehicle tracking for a virtual mirror

Michael Sergi; Craig Shankwitz; Max Donath

doi:10.1109/IVS.2003.1212932

LIDAR-based vehicle tracking for a virtual mirror

Michael Sergi
, Craig Shankwitz
, Max Donath

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	IEEE Intelligent Vehicles Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	333-338
Number of pages	6
ISBN (Electronic)	0780378482
DOIs	https://doi.org/10.1109/IVS.2003.1212932
State	Published - 2003
Event	2003 IEEE Intelligent Vehicles Symposium, IV 2003 - Columbus, United States Duration: Jun 9 2003 → Jun 11 2003

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Other

Other	2003 IEEE Intelligent Vehicles Symposium, IV 2003
Country/Territory	United States
City	Columbus
Period	6/9/03 → 6/11/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

Publisher link

10.1109/IVS.2003.1212932

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LIDAR-based vehicle tracking for a virtual mirror. / Sergi, Michael; Shankwitz, Craig; Donath, Max.
IEEE Intelligent Vehicles Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2003. p. 333-338 1212932 (IEEE Intelligent Vehicles Symposium, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sergi, M, Shankwitz, C & Donath, M 2003, LIDAR-based vehicle tracking for a virtual mirror. in IEEE Intelligent Vehicles Symposium, Proceedings., 1212932, IEEE Intelligent Vehicles Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 333-338, 2003 IEEE Intelligent Vehicles Symposium, IV 2003, Columbus, United States, 6/9/03. https://doi.org/10.1109/IVS.2003.1212932

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title = "LIDAR-based vehicle tracking for a virtual mirror",

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.",

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AB - 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.

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ER -

LIDAR-based vehicle tracking for a virtual mirror

Abstract

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