NDLI: Multiple hypothesis tracking for automated vehicle perception

Content Provider	IEEE Xplore Digital Library
Author	Thomaidis, G. Spinoulas, L. Lytrivis, P. Ahrholdt, M. Grubb, G. Amditis, A.
Copyright Year	2010
Description	Author affiliation: National Technical University of Athens (NTUA), Department of Electrical and Computer Engineering, Greece (Spinoulas, L.) \|\| Volvo Technology Corporation, Intelligent Vehicle Technologies, Dept. 6320, M1.6, Götaverksgatan 10, SE-405 08 Göteborg, Sweden (Ahrholdt, M.; Grubb, G.) \|\| Institute of Communications and Computer Systems (ICCS), I-SENSE group, Iroon Polytechniou St. 9, 15773 Athens, Greece (Thomaidis, G.; Lytrivis, P.; Amditis, A.)
Abstract	The use of multiple hypothesis tracking has proven to provide significant performance benefits over the single hypothesis GNN or the PDA algorithm. Automotive sensors like radars, laser-scanners or vision systems are being integrated into vehicles for commercial or scientific purposes, in increasing numbers over the last years. As a result, there is profound literature on this area and several approaches have been proposed to the problem of multi-target, multi-sensor target tracking. The most advanced vehicle applications allow the use of highly or even fully automated driving. Of course, these applications require an accurate, robust and reliable perception output so that the vehicle can be driven autonomously. The HAVEit EU project investigates the application and validation of automated vehicles applications, technologies that are going to have great impact in transport safety and comfort. In this paper the MHT algorithm is applied to real sensor data, installed in Volvo Technology vehicle demonstrating Automated Queue Assistance. In conjunction with simulated scenarios, the benefits in tracking performance compared to conventional GNN tracking are presented.
Starting Page	1122
Ending Page	1127
File Size	1584772
Page Count	6
File Format	PDF
ISBN	9781424478668
ISSN	19310587
e-ISBN	9781424478682
DOI	10.1109/IVS.2010.5548070
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar tracking Remotely operated vehicles Vehicle driving Vehicle safety Automotive engineering Sensor systems Laser radar Machine vision Target tracking Intelligent vehicles
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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