RoadPlot-DATMO: Moving object tracking and track fusion system using multiple sensors

Kiin Na, Jaemin Byun, Myongchan Roh, Beomsu Seo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

This paper introduces the RoadPlot-DATMO, tracking objects around the vehicle using multiple sensors such as radars, 2D LiDARs, and a 3D LiDAR. It consists of the xytracker, the xyztracker, and the fusion; the xytracker tracks moving objects with multiple 2D LiDARs, the xyztracker perceives object information in detail using a 3D LiDAR, and the fusion merges tracks from multiple trackers. It is able to detect and to track moving objects around the vehicle correctly and continuously without blind area in realtime. Also, this was tested with driverless overtaking on a highway using the autonomous vehicle, the CoPilot of the ETRI.

Original languageEnglish
Title of host publication2015 International Conference on Connected Vehicles and Expo, ICCVE 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages142-143
Number of pages2
ISBN (Electronic)9781509002641
DOIs
StatePublished - 4 Apr 2016
EventInternational Conference on Connected Vehicles and Expo, ICCVE 2015 - Shenzhen, China
Duration: 19 Oct 201523 Oct 2015

Publication series

Name2015 International Conference on Connected Vehicles and Expo, ICCVE 2015 - Proceedings

Conference

ConferenceInternational Conference on Connected Vehicles and Expo, ICCVE 2015
Country/TerritoryChina
CityShenzhen
Period19/10/1523/10/15

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