16.7.2.1.1 Nighttime Vehicle Detection and Recognition

Chapter Contents (Back)
Vehicle Detection. Night Vehicle Detection.
See also Vehicle Pose.

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.[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


Liu, Y.[Yu], Mahmood, A.[Arif], Khan, M.H.[Muhammad Haris],
NT-VOT211: A Large-scale Benchmark for Night-time Visual Object Tracking,
ACCV24(II: 314-332).
Springer DOI 2412
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 .


Last update:Jan 20, 2025 at 11:36:25