Cited 0 time in webofscience Cited 13 time in scopus

Full metadata record

DC Field Value Language
dc.contributor.author Kim, Young Duk -
dc.contributor.author Son, Guk Jin -
dc.contributor.author Song, Chan Ho -
dc.contributor.author Kim, Hee Kang -
dc.date.accessioned 2018-05-25T02:26:21Z -
dc.date.available 2018-05-25T02:26:21Z -
dc.date.created 2018-04-24 -
dc.date.issued 2018-03 -
dc.identifier.citation Sensors, v.18, no.3, pp.837 -
dc.identifier.issn 1424-8220 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/6401 -
dc.description.abstract Recently, radar technology has attracted attention for the realization of an intelligent transportation system (ITS) to monitor, track, and manage vehicle traffic on the roads as well as adaptive cruise control (ACC) and automatic emergency braking (AEB) for driving assistance of vehicles. However, when radar is installed on roads or in tunnels, the detection performance is significantly dependent on the deployment conditions and environment around the radar. In particular, in the case of tunnels, the detection accuracy for a moving vehicle drops sharply owing to the diffuse reflection of radio frequency (RF) signals. In this paper, we propose an optimal deployment condition based on height and tilt angle as well as a noise-filtering scheme for RF signals so that the performance of vehicle detection can be robust against external conditions on roads and in tunnels. To this end, first, we gather and analyze the misrecognition patterns of the radar by tracking a number of randomly selected vehicles on real roads. In order to overcome the limitations, we implement a novel road watch module (RWM) that is easily integrated into a conventional radar system such as Delphi ESR. The proposed system is able to perform real-time distributed data processing of the target vehicles by providing independent queues for each object of information that is incoming from the radar RF. Based on experiments with real roads and tunnels, the proposed scheme shows better performance than the conventional method with respect to the detection accuracy and delay time. The implemented system also provides a user-friendly interface to monitor and manage all traffic on roads and in tunnels. This will accelerate the popularization of future ITS services. © 2018 by the authors. Licensee MDPI, Basel, Switzerland. -
dc.language English -
dc.publisher Multidisciplinary Digital Publishing Institute (MDPI) -
dc.title On the Deployment and Noise Filtering of Vehicular Radar Application for Detection Enhancement in Roads and Tunnels -
dc.type Article -
dc.identifier.doi 10.3390/s18030837 -
dc.identifier.wosid 000428805300158 -
dc.identifier.scopusid 2-s2.0-85044034998 -
dc.contributor.localid 060004 -
dc.contributor.localid 190196 -
dc.contributor.localid 160298 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname Sensors -
dc.contributor.nonIdAuthor Song, Chan Ho -
dc.identifier.citationVolume 18 -
dc.identifier.citationNumber 3 -
dc.identifier.citationStartPage 837 -
dc.identifier.citationTitle Sensors -
dc.type.journalArticle Article -
dc.description.isOpenAccess Y -
dc.subject.keywordAuthor radar sensor -
dc.subject.keywordAuthor radar installation -
dc.subject.keywordAuthor roadside and tunnel -
dc.subject.keywordAuthor noise filtering -
dc.subject.keywordPlus PROPAGATION -
dc.contributor.affiliatedAuthor Kim, Young Duk -
dc.contributor.affiliatedAuthor Son, Guk Jin -
dc.contributor.affiliatedAuthor Song, Chan Ho -
dc.contributor.affiliatedAuthor Kim, Hee Kang -
Files in This Item:
Appears in Collections:
Convergence Research Center for Future Automotive Technology 1. Journal Articles
Division of Automotive Technology 1. Journal Articles

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE