Nighttime vehicle detection at close range using vehicle lamps information

Jun Ting Wu, Jiann Der Lee*, Jong Chih Chien, Chung Hung Hsieh

*Corresponding author for this work

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

5 Scopus citations

Abstract

Vehicle detection is an important function for any advanced driver assistance systems (ADAS). Due to the restrictions in data collection, most of the detection methods presented in the past few years were based on the assumption of well-lit environments. In this paper, we propose a novel algorithm to detect vehicle in the night time by the location of vehicle lamps. The proposed algorithm calculates the intensity of diffuse light, and then uses the information to capture the locations of car lamps. The experimental results show that using our algorithm can properly detect vehicles in the night time.

Original languageEnglish
Title of host publicationProceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014
PublisherIEEE Computer Society
Pages1237-1240
Number of pages4
ISBN (Print)9781479952779
DOIs
StatePublished - 2014
Event2nd International Symposium on Computer, Consumer and Control, IS3C 2014 - Taichung, Taiwan
Duration: 10 06 201412 06 2014

Publication series

NameProceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014

Conference

Conference2nd International Symposium on Computer, Consumer and Control, IS3C 2014
Country/TerritoryTaiwan
CityTaichung
Period10/06/1412/06/14

Keywords

  • Laplacian of Gaussian
  • advanced driver assistance systems
  • diffuse light intensity
  • nighttime vehicle detection

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