Radar depth association with vision detected vehicles on a highway

Ankita Sikdar, Siyang Cao, Yuan F. Zheng, Robert L. Ewing

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

2 Scopus citations

Abstract

No single sensor can independently predict the 3-D environment around us. A vision sensor helps locate objects in a 2-D plane. However, estimating distance using one vision sensor has a limitation. A single radar sensor returns the range of objects accurately; however, the complexity and cost increase if good spatial resolution is required. Thus a radar does not indicate which range corresponds to which object. In this paper, we associate vision detected objects to radar returned echoes, focusing on highways, estimating the 3-D locations of cars around an ego vehicle. This information would help cars driving autonomously to maneuver around.

Original languageEnglish (US)
Title of host publication2014 IEEE Radar Conference
Subtitle of host publicationFrom Sensing to Information, RadarCon 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1159-1164
Number of pages6
ISBN (Print)9781479920341
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: May 19 2014May 23 2014

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

Conference2014 IEEE Radar Conference, RadarCon 2014
Country/TerritoryUnited States
CityCincinnati, OH
Period5/19/145/23/14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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