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.
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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.[Leanne Lai-Hang],
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
Zhang, H.W.[Hou-Wang],
Yang, K.F.[Kai-Fu],
Li, Y.J.[Yong-Jie],
Chan, L.L.H.[Leanne Lai-Hang],
Night-Time Vehicle Detection Based on Hierarchical Contextual
Information,
ITS(25), No. 10, October 2024, pp. 14628-14641.
IEEE DOI
2410
Vehicle detection, Feature extraction, Detectors, Roads, Estimation,
Image segmentation, Accidents, Deep neural network,
night-time vehicle detection
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, H.W.[Hou-Wang],
Chan, L.L.H.[Leanne Lai Hang],
Overcoming the Challenges of Long-Tail Distribution in Nighttime
Vehicle Detection,
IEEE_Int_Sys(39), No. 2, March 2024, pp. 51-60.
IEEE DOI
2405
Proposals, Vehicle detection, Training, Automobiles, Urban areas,
Intelligent transportation systems, Vehicle safety, Road safety,
Detection algorithms
BibRef
Zhou, W.[Wei],
Wang, C.[Chen],
Ge, Y.[Yiran],
Wen, L.[Longhui],
Zhan, Y.F.[Yun-Fei],
All-Day Vehicle Detection From Surveillance Videos Based on
Illumination-Adjustable Generative Adversarial Network,
ITS(25), No. 5, May 2024, pp. 3326-3340.
IEEE DOI Code:
WWW Link.
2405
Vehicle detection, Lighting, Generative adversarial networks,
Generators, Videos, Transforms, Surveillance, vehicle detection,
adjustable illumination
BibRef
Hu, C.H.[Chang-Hui],
Yi, W.L.[Wei-Lin],
Hu, K.[Kerui],
Guo, Y.Y.[Yan-Yong],
Jing, X.Y.[Xiao-Yuan],
Liu, P.[Pan],
FHSI and QRCPE-Based Low-Light Enhancement With Application to Night
Traffic Monitoring Images,
ITS(25), No. 7, July 2024, pp. 6978-6993.
IEEE DOI
2407
Image color analysis, Lighting, Image enhancement,
Mathematical models, Monitoring, Reflectivity, Learning systems,
orthogonal triangular with column pivoting enhancement
BibRef
Zhang, H.[Houwang],
Yang, K.F.[Kai-Fu],
Li, Y.J.[Yong-Jie],
Chan, L.L.H.[Leanne Lai-Hang],
Self-supervised network for low-light traffic image enhancement based
on deep noise and artifacts removal,
CVIU(246), 2024, pp. 104063.
Elsevier DOI
2408
Self-supervised learning, Image enhancement,
Intelligent transportation systems, Low-light traffic image,
Night-time vehicle detection
BibRef
Gao, Q.[Qi],
Yin, M.F.[Ming-Feng],
Ni, Y.Z.[Yuan-Zhi],
Bo, Y.M.[Yu-Ming],
Bei, S.[Shaoyi],
Learning Multidimensional Spatial Attention for Robust Nighttime
Visual Tracking,
SPLetters(31), 2024, pp. 2910-2914.
IEEE DOI
2411
Visualization, Target tracking, Noise, Noise reduction, Lighting,
Benchmark testing, Transformers, Reliability, Image enhancement,
multidimensional spatial attention
BibRef
Zhou, J.[Jiakai],
Yang, J.[Jun],
Wu, X.L.[Xiao-Liang],
Zhou, W.L.[Wan-Lin],
Wang, Y.[Yang],
TrVLR: A Transformer-Based Vehicle Light Recognition Method in
Vehicle Inspection,
ITS(25), No. 12, December 2024, pp. 19995-20005.
IEEE DOI Code:
WWW Link.
2412
Inspection, Transformers, Feature extraction,
Convolutional neural networks, Accuracy, Image recognition,
vehicle behavior understanding
BibRef
Zhang, G.X.[Guo-Xing],
Liu, Y.M.[Yi-Ming],
Yang, X.Y.[Xiao-Yu],
Huang, H.L.[Hai-Long],
Huang, C.[Chao],
Trafficnight: An Aerial Multimodal Benchmark for Nighttime Vehicle
Surveillance,
ECCV24(LXV: 36-48).
Springer DOI
2412
BibRef
Jeong, Y.[Yuhwan],
Cho, H.[Hoonhee],
Yoon, K.J.[Kuk-Jin],
Towards Robust Event-based Networks for Nighttime via Unpaired
Day-to-night Event Translation,
ECCV24(LXVII: 286-306).
Springer DOI
2412
BibRef
Ewecker, L.[Lukas],
Schiffel, F.[Florian],
Schwager, R.[Robin],
Brühl, T.[Tim],
Sohn, T.S.[Tin Stribor],
Villmann, T.[Thomas],
PVDN-Urban: A Dataset for Provident Vehicle Detection at Night in
Urban Scenarios,
ICIP24(34-40)
IEEE DOI
2411
Annotations, Image color analysis, Vehicle detection,
Semantic segmentation, Roads, Pipelines, Cameras,
Object Detection
BibRef
Zhang, S.Q.[Shui-Qiang],
Tong, Y.[Yala],
Nighttime Vehicle Detection Algorithm Enhanced by NightvisionGAN,
CVIDL23(672-676)
IEEE DOI
2403
Image coding, Rain, Vehicle detection, Computational modeling,
Process control, Object detection, Feature extraction,
knowledge distillation
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 .