@inproceedings{ade7aadfb0ef4b998b0a6826df18d281,
title = "Nighttime vehicle detection at close range using vehicle lamps information",
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.",
keywords = "Laplacian of Gaussian, advanced driver assistance systems, diffuse light intensity, nighttime vehicle detection",
author = "Wu, {Jun Ting} and Lee, {Jiann Der} and Chien, {Jong Chih} and Hsieh, {Chung Hung}",
year = "2014",
doi = "10.1109/IS3C.2014.320",
language = "英语",
isbn = "9781479952779",
series = "Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014",
publisher = "IEEE Computer Society",
pages = "1237--1240",
booktitle = "Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014",
address = "美国",
note = "2nd International Symposium on Computer, Consumer and Control, IS3C 2014 ; Conference date: 10-06-2014 Through 12-06-2014",
}