O'Malley, R.,
Jones, E.,
Glavin, M.,
Rear-Lamp Vehicle Detection and Tracking in Low-Exposure Color Video
for Night Conditions,
ITS(11), No. 2, June 2010, pp. 453-462.
IEEE DOI
1007
BibRef
Lu, Y.Y.[Yin-Yu],
Han, C.C.[Chin-Chuan],
Lu, M.C.[Ming-Chih],
Fan, K.C.[Kuo-Chin],
A vision-based system for the prevention of car collisions at night,
MVA(22), No. 1, January 2011, pp. 117-127.
WWW Link.
1101
BibRef
Chen, D.Y.[Duan-Yu],
Chen, C.H.[Chia-Hsun],
Salient video cube guided nighttime vehicle braking event detection,
JVCIR(23), No. 3, April 2012, pp. 586-597.
Elsevier DOI
1203
BibRef
Earlier:
Visual-Based Spatiotemporal Analysis for Nighttime Vehicle Braking
Event Detection,
MMMod12(772-781).
Springer DOI
1201
Video cube; Brake light detection; 3D Nakagami; Visual salient;
Nakagami m-distribution; Advanced vehicle safety; Vehicle taillight
analysis; Rear-view vehicle analysis
BibRef
Chen, D.Y.,
Lin, Y.H.,
Peng, Y.J.,
Nighttime Brake-Light Detection by Nakagami Imaging,
ITS(13), No. 4, December 2012, pp. 1627-1637.
IEEE DOI
1212
BibRef
Kosaka, N.,
Ohashi, G.,
Vision-Based Nighttime Vehicle Detection Using CenSurE and SVM,
ITS(16), No. 5, October 2015, pp. 2599-2608.
IEEE DOI
1511
computer vision
BibRef
Zou, Q.[Qi],
Ling, H.B.[Hai-Bin],
Luo, S.W.[Si-Wei],
Huang, Y.P.[Ya-Ping],
Tian, M.[Mei],
Robust Nighttime Vehicle Detection by Tracking and Grouping
Headlights,
ITS(16), No. 5, October 2015, pp. 2838-2849.
IEEE DOI
1511
feature extraction
BibRef
Zou, Q.[Qi],
Ling, H.B.[Hai-Bin],
Pang, Y.,
Huang, Y.P.[Ya-Ping],
Tian, M.[Mei],
Joint Headlight Pairing and Vehicle Tracking by Weighted Set Packing
in Nighttime Traffic Videos,
ITS(19), No. 6, June 2018, pp. 1950-1961.
IEEE DOI
1806
Intelligent transportation systems, Robustness, Shape,
Target tracking, Trajectory, Vehicle tracking,
set packing
BibRef
Alpar, O.,
Corona segmentation for nighttime brake light detection,
IET-ITS(10), No. 2, 2016, pp. 97-105.
DOI Link
1602
brakes
BibRef
Kuang, H.,
Chen, L.,
Gu, F.,
Chen, J.,
Chan, L.,
Yan, H.,
Combining Region-of-Interest Extraction and Image Enhancement for
Nighttime Vehicle Detection,
IEEE_Int_Sys(31), No. 3, May 2016, pp. 57-65.
IEEE DOI
1606
Feature extraction
BibRef
Sangnoree, A.[Apiwat],
Chamnongthai, K.[Kosin],
Thermal-image processing and statistical analysis for vehicle
category in nighttime traffic,
JVCIR(48), No. 1, 2017, pp. 88-109.
Elsevier DOI
1708
Thermal, imaging
BibRef
Kuang, H.,
Zhang, X.,
Li, Y.J.,
Chan, L.L.H.,
Yan, H.,
Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement
and Weighted Score-Level Feature Fusion,
ITS(18), No. 4, April 2017, pp. 927-936.
IEEE DOI
1704
Biomedical imaging
BibRef
Choi, Y.Y.[Yeong-Yu],
Lim, H.J.[Hyo-Jin],
Khac, C.N.[Cuong Nguyen],
Park, J.H.[Ju H.],
Jung, H.Y.[Ho-Youl],
Efficient local adaptive thresholding for night-time vehicle candidate
detection,
IJCVR(7), No. 5, 2017, pp. 574-587.
DOI Link
1709
BibRef
Wang, L.,
Horn, B.K.P.,
Machine Vision to Alert Roadside Personnel of Night Traffic Threats,
ITS(19), No. 10, October 2018, pp. 3245-3254.
IEEE DOI
1810
Automobiles, Smart phones, Law enforcement, Cameras, Labeling,
Personnel, Machine vision, Blob detection, multi object tracking,
convex hull updating
BibRef
Kuang, H.,
Chen, L.,
Chan, L.L.H.,
Cheung, R.C.C.,
Yan, H.,
Feature Selection Based on Tensor Decomposition and Object Proposal
for Night-Time Multiclass Vehicle Detection,
SMCS(49), No. 1, January 2019, pp. 71-80.
IEEE DOI
1901
Feature extraction, Vehicle detection, Proposals, Tensile stress,
Image enhancement, Image edge detection,
tensor decomposition
BibRef
Gao, F.[Fei],
Ge, Y.[Yisu],
Lu, S.F.[Shu-Fang],
Zhang, Y.M.[Yuan-Ming],
On-line vehicle detection at nighttime-based tail-light pairing with
saliency detection in the multi-lane intersection,
IET-ITS(13), No. 3, March 2019, pp. 515-522.
DOI Link
1903
BibRef
Satzoda, R.K.,
Trivedi, M.M.,
Looking at Vehicles in the Night:
Detection and Dynamics of Rear Lights,
ITS(20), No. 12, December 2019, pp. 4297-4307.
IEEE DOI
2001
Vehicles, Image color analysis, Cameras, Training, Lighting,
Vehicle dynamics, Feature extraction,
active safety
BibRef
Sooksatra, S.[Sorn],
Kondo, T.[Toshiaki],
Bunnun, P.[Pished],
Yoshitaka, A.[Atsuo],
Headlight recognition for night-time traffic surveillance using
spatial-temporal information,
SIViP(14), No. 1, February 2020, pp. 107-114.
Springer DOI
2001
BibRef
Lin, C.T.,
Huang, S.W.,
Wu, Y.Y.,
Lai, S.H.,
GAN-Based Day-to-Night Image Style Transfer for Nighttime Vehicle
Detection,
ITS(22), No. 2, February 2021, pp. 951-963.
IEEE DOI
2102
Detectors, Image segmentation, Vehicle detection, Training,
Object detection, Feature extraction, domain adaptation
BibRef
Tsai, W.K.[Wen-Kai],
Chen, H.J.[Hung-Ju],
High-accuracy vehicle lamp detection for real-time night-time traffic
surveillance,
IET-ITS(14), No. 13, 15 December 2020, pp. 1923-1934.
DOI Link
2102
BibRef
Bell, A.[Andrés],
Mantecón, T.[Tomás],
Díaz, C.[César],
del-Blanco, C.R.[Carlos R.],
Jaureguizar, F.[Fernando],
García, N.[Narciso],
A Novel System for Nighttime Vehicle Detection Based on Foveal
Classifiers With Real-Time Performance,
ITS(23), No. 6, June 2022, pp. 5421-5433.
IEEE DOI
2206
Cameras, Annotations, Shape, Real-time systems, Lighting,
Vehicle detection, Databases, Foveal classifiers, nighttime,
vehicle recognition
BibRef
Gao, P.[Peng],
Tian, T.[Tian],
Zhao, T.M.[Tian-Ming],
Li, L.F.[Lin-Feng],
Zhang, N.[Nan],
Tian, J.W.[Jin-Wen],
GF-Detection: Fusion with GAN of Infrared and Visible Images for
Vehicle Detection at Nighttime,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Zhang, X.X.[Xin-Xiang],
Story, B.[Brett],
Rajan, D.[Dinesh],
Night Time Vehicle Detection and Tracking by Fusing Vehicle Parts
From Multiple Cameras,
ITS(23), No. 7, July 2022, pp. 8136-8156.
IEEE DOI
2207
Cameras, Vehicle detection, Location awareness, Trajectory, Sensors,
Indexes, Visualization, Multi-camera, night time,
four wheels
BibRef
Ding, Y.X.[Yuan-Xue],
Qu, Y.C.[Yan-Chen],
Sun, J.F.[Jian-Feng],
Du, D.[Dakuan],
Jiang, Y.Z.[Yan-Ze],
Zhang, H.L.[Hai-Long],
Long-Distance Multi-Vehicle Detection at Night Based on Gm-APD Lidar,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Xue, T.[Tao],
Zhang, Z.Q.[Zun-Qian],
Ma, W.N.[Wei-Ning],
Li, Y.F.[Yi-Fan],
Yang, A.[Aimin],
Ji, T.H.[Tian-Hao],
Nighttime Pedestrian and Vehicle Detection Based on a Fast Saliency
and Multifeature Fusion Algorithm for Infrared Images,
ITS(23), No. 9, September 2022, pp. 16741-16751.
IEEE DOI
2209
Feature extraction, Vehicle detection, Support vector machines,
Real-time systems, Roads, Radio frequency, Metallurgy,
real-time detection
BibRef
Wang, X.[Xiao],
Tu, X.Y.[Xing-Yue],
Al-Hassani, B.[Baraa],
Lin, C.W.[Chia-Wen],
Xu, X.[Xin],
Select Informative Samples for Night-Time Vehicle Detection Benchmark
in Urban Scenes,
RS(15), No. 17, 2023, pp. 4310.
DOI Link
2310
BibRef
Zhao, Z.[Zheng],
Qiu, S.[Shi],
Chen, F.[Fu],
Chen, Y.W.[Yu-Wei],
Qian, Y.G.[Yong-Gang],
Cui, H.D.[Hao-Dong],
Zhang, Y.[Yu],
Khoramshahi, E.[Ehsan],
Qiu, Y.Y.[Yuan-Yuan],
Vessel Detection with SDGSAT-1 Nighttime Light Images,
RS(15), No. 17, 2023, pp. 4354.
DOI Link
2310
BibRef
Lashkov, I.[Igor],
Yuan, R.[Runze],
Zhang, G.H.[Guo-Hui],
Edge-Computing-Facilitated Nighttime Vehicle Detection Investigations
With CLAHE-Enhanced Images,
ITS(24), No. 11, November 2023, pp. 13370-13383.
IEEE DOI
2311
BibRef
Zhang, Y.Z.[Yu-Zhen],
Wang, W.T.[Wen-Tong],
Guo, W.Z.[Wei-Zhi],
Lv, P.[Pei],
Xu, M.L.[Ming-Liang],
Chen, W.[Wei],
Manocha, D.[Dinesh],
D2-TPred: Discontinuous Dependency for Trajectory Prediction Under
Traffic Lights,
ECCV22(VIII:522-539).
Springer DOI
2211
BibRef
Kumar, U.,
Vehicle detection in monocular night-time grey-level videos,
IVCNZ13(214-219)
IEEE DOI
1402
Haar transforms
BibRef
Yuan, Y.[Yule],
Zhao, Y.[Yong],
Wang, X.[Xinan],
Day and night vehicle detection and counting in complex environment,
IVCNZ13(453-458)
IEEE DOI
1402
feature extraction
BibRef
Gupta, R.A.[Rachana A.],
Snyder, W.E.[Wesley E.],
Detection of Multiple Preceding Cars in Busy Traffic Using Taillights,
ICIAR11(II: 338-347).
Springer DOI
1106
BibRef
Wang, W.H.[Wei-Hong],
Shen, C.H.[Chun-Hua],
Zhang, J.[Jian],
Paisitkriangkrai, S.[Sakrapee],
A Two-Layer Night-Time Vehicle Detector,
DICTA09(162-167).
IEEE DOI
0912
Based on headlingts.
BibRef
Takayasu, N.,
Aoki, M.,
Position detection using stereo slit camera and vertical objects,
IVS04(762-767).
IEEE DOI
0411
At night, slit camera and fluorescent object -- the vehicle passes between
them.
BibRef
Taktak, R.,
Dufaut, M.,
Husson, R.,
Vehicle detection at night using image processing and pattern
recognition,
ICIP94(II: 296-300).
IEEE DOI
9411
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Make or Model or Type Recogniton .