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Conference Paper RoadPlot-DATMO: Moving Object Tracking and Track Fusion System Using Multiple Sensors
Cited 14 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Kiin Na, Jaemin Byun, Myongchan Roh, Beomsu Seo
Issue Date
2015-10
Citation
International Conference on Connected Vehicles and Expo (ICCVE) 2015, pp.142-143
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICCVE.2015.52
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.
KSP Keywords
3D Lidar, Autonomous vehicle, Blind area, Fusion system, Tracking objects, moving object tracking, multiple sensors, track fusion