16.7.2.5.1 Vehicle Trajectory Analysis, Prediction

Chapuis, R., Potelle, A., Brame, J.L., Chausse, F.,
Real-Time Vehicle Trajectory Supervision on the Highway,
IJRR(14), No. 6, December 1995, pp. 531-542. BibRef 9512

Lou, J.G.[Jian-Guang], Tan, T.N.[Tie-Niu], Hu, W.M.[Wei-Ming], Yang, H.[Hao], Maybank, S.J.,
3-D model-based vehicle tracking,
IP(14), No. 10, October 2005, pp. 1561-1569.
IEEE DOI 0510
BibRef

Fraile, R., Maybank, S.J.,
Vehicle Trajectory Approximation and Classification,
BMVC98(xx-yy). BibRef 9800

Goyat, Y., Chateau, T., Trassoudaine, L.,
Tracking of vehicle trajectory by combining a camera and a laser rangefinder,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Popa, I.S.[Iulian Sandu], Zeitouni, K.[Karine], Oria, V.[Vincent], Kharrat, A.[Ahmed],
Spatio-temporal compression of trajectories in road networks,
GeoInfo(19), No. 1, January 2015, pp. 117-145.
Springer DOI 1503
From phone GPS tracking data. BibRef

Romanoni, A.[Andrea], Sorrenti, D.G.[Domenico G.], Matteucci, M.[Matteo],
Backward-Simulation Particle Smoother with a hybrid state for 3D vehicle trajectory, class and dimension simultaneous estimation,
MVA(26), No. 2-3, April 2015, pp. 369-385.
WWW Link. 1504
BibRef

Ding, Z., Yang, B., Guting, R.H., Li, Y.,
Network-Matched Trajectory-Based Moving-Object Database: Models and Applications,
ITS(16), No. 4, August 2015, pp. 1918-1928.
IEEE DOI 1508
Databases BibRef

d'Acierno, A., Saggese, A., Vento, M.,
Designing Huge Repositories of Moving Vehicles Trajectories for Efficient Extraction of Semantic Data,
ITS(16), No. 4, August 2015, pp. 2038-2049.
IEEE DOI 1508
Data mining BibRef

Yue, M., An, C., Li, Z.,
Constrained Adaptive Robust Trajectory Tracking for WIP Vehicles Using Model Predictive Control and Extended State Observer,
SMCS(48), No. 5, May 2018, pp. 733-742.
IEEE DOI 1804
Wheeled Inverted Pendulum (WIP) vehicle. Observers, Robustness, Trajectory, Vehicle dynamics, Vehicles, Adaptive robust control, extended state observer, BibRef

Shen, J., Yu, D., Deng, L., Dong, X.,
Fast Online Tracking With Detection Refinement,
ITS(19), No. 1, January 2018, pp. 162-173.
IEEE DOI 1801
Correlation, Object tracking, Robustness, Target tracking, Trajectory, Visualization, MOSSE filter, Tracking, detection, online BibRef

Islam, M.R.[M. Rakibul], Hadiuzzaman, M., Barua, S.[Saurav], Shimu, T.H.[Tahmida Hossain],
Alternative approach for vehicle trajectory reconstruction under spatiotemporal side friction using lopsided network,
IET-ITS(13), No. 2, February 2019, pp. 356-366.
DOI Link 1902
BibRef

Rathore, P., Kumar, D., Rajasegarar, S., Palaniswami, M., Bezdek, J.C.,
A Scalable Framework for Trajectory Prediction,
ITS(20), No. 10, October 2019, pp. 3860-3874.
IEEE DOI 1910
Trajectory, Hidden Markov models, Markov processes, Computational modeling, Prediction algorithms, Predictive models, scalable clustering BibRef

Fei, C.[Cong], He, X.[Xiangkun], Ji, X.[Xuewu],
Multi-modal vehicle trajectory prediction based on mutual information,
IET-ITS(14), No. 3, March 2020, pp. 148-153.
DOI Link 2003
BibRef

de Sousa, R.S.[Roniel S.], Boukerche, A.[Azzedine], Loureiro, A.A.F.[Antonio A. F.],
Vehicle Trajectory Similarity: Models, Methods, and Applications,
Surveys(53), No. 5, September 2020, pp. xx-yy.
DOI Link 2010
Datasets, mobility, vehicle, trajectory BibRef

Liu, J.L.[Jun-Li], Pan, M.M.[Miao-Miao], Song, X.F.[Xian-Feng], Wang, J.[Jing], Zhu, K.[Kemin], Li, R.[Runkui], Rui, X.P.[Xiao-Ping], Wang, W.F.[Wei-Feng], Hu, J.[Jinghao], Raghavan, V.[Venkatesh],
Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Wang, Z.J.[Ze-Jiang], Zha, J.Q.[Jing-Qiang], Wang, J.M.[Jun-Min],
Autonomous Vehicle Trajectory Following: A Flatness Model Predictive Control Approach With Hardware-in-the-Loop Verification,
ITS(22), No. 9, September 2021, pp. 5613-5623.
IEEE DOI 2109
Trajectory, Autonomous vehicles, Optimization, Computational modeling, Mathematical model, Predictive control, trajectory following BibRef

Dai, S.Z.[Sheng-Zhe], Li, Z.H.[Zhi-Heng], Li, L.[Li], Zheng, N.N.[Nan-Ning], Wang, S.F.[Shuo-Feng],
A Flexible and Explainable Vehicle Motion Prediction and Inference Framework Combining Semi-Supervised AOG and ST-LSTM,
ITS(23), No. 2, February 2022, pp. 840-860.
IEEE DOI 2202
Trajectory, Predictive models, Hidden Markov models, Feature extraction, Training, Data models, Heuristic algorithms, vehicle interactions BibRef

Victor, S.[Stéphane], Receveur, J.B.[Jean-Baptiste], Melchior, P.[Pierre], Lanusse, P.[Patrick],
Optimal Trajectory Planning and Robust Tracking Using Vehicle Model Inversion,
ITS(23), No. 5, May 2022, pp. 4556-4569.
IEEE DOI 2205
Trajectory, Trajectory planning, Planning, Optimization, Genetic algorithms, Mathematical model, Robust control, robust control BibRef

Jiang, R.[Rui], Xu, H.Y.[Hong-Yun], Gong, G.[Gelian], Kuang, Y.[Yong], Liu, Z.[Zhikang],
Spatial-Temporal Attentive LSTM for Vehicle-Trajectory Prediction,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Coifman, B.[Benjamin], Li, L.[Lizhe],
A New Method for Validating and Generating Vehicle Trajectories From Stationary Video Cameras,
ITS(23), No. 9, September 2022, pp. 16227-16236.
IEEE DOI 2209
Trajectory, Cameras, Image processing, Visualization, Tracking, Spatiotemporal phenomena, Traffic control, Freeway traffic, vehicle trajectory BibRef

Liang, Y.B.[Yue-Bing], Zhao, Z.[Zhan],
NetTraj: A Network-Based Vehicle Trajectory Prediction Model With Directional Representation and Spatiotemporal Attention Mechanisms,
ITS(23), No. 9, September 2022, pp. 14470-14481.
IEEE DOI 2209
Trajectory, Roads, Predictive models, Hidden Markov models, Data models, Spatiotemporal phenomena, Public transportation, spatiotemporal attention BibRef

Tao, L.[Lu], Watanabe, Y.[Yousuke], Takada, H.[Hiroaki],
A Lightweight Long-Term Vehicular Motion Prediction Method Leveraging Spatial Database and Kinematic Trajectory Data,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zhong, Z.[Zhi], Luo, Y.[Yutao], Liang, W.Q.[Wei-Qiang],
STGM: Vehicle Trajectory Prediction Based on Generative Model for Spatial-Temporal Features,
ITS(23), No. 10, October 2022, pp. 18785-18793.
IEEE DOI 2210
Trajectory, Predictive models, Task analysis, Feature extraction, Semantics, Decoding, Autonomous vehicles, Autonomous vehicles, LSTM BibRef

Chen, L.[Long], Zhou, Q.[Qiyang], Cai, Y.F.[Ying-Feng], Wang, H.[Hai], Li, Y.C.[Yi-Cheng],
CAE-GAN: A hybrid model for vehicle trajectory prediction,
IET-ITS(16), No. 12, 2022, pp. 1682-1696.
DOI Link 2212
BibRef

Zhou, X.Y.[Xing-Yu], Wang, Z.J.[Ze-Jiang], Wang, J.[Junmin],
Automated Vehicle Path Following: A Non-Quadratic-Lyapunov-Function-Based Model Reference Adaptive Control Approach With C8-Smooth Projection Modification,
ITS(23), No. 11, November 2022, pp. 21653-21664.
IEEE DOI 2212
Adaptation models, Robustness, Uncertainty, Kinematics, Generators, Vehicle dynamics, Transportation, Adaptive control, trajectory following BibRef

Azadani, M.N.[Mozhgan Nasr], Boukerche, A.[Azzedine],
A Novel Multimodal Vehicle Path Prediction Method Based on Temporal Convolutional Networks,
ITS(23), No. 12, December 2022, pp. 25384-25395.
IEEE DOI 2212
Trajectory, Vehicles, Predictive models, Task analysis, Hidden Markov models, Roads, Planning, Maneuver prediction, vehicle motion prediction BibRef

Jiang, Y.[Yuande], Zhu, B.[Bing], Yang, S.[Shun], Zhao, J.[Jian], Deng, W.[Weiwen],
Vehicle Trajectory Prediction Considering Driver Uncertainty and Vehicle Dynamics Based on Dynamic Bayesian Network,
SMCS(53), No. 2, February 2023, pp. 689-703.
IEEE DOI 2301
Trajectory, Hidden Markov models, Vehicles, Vehicle dynamics, Uncertainty, Predictive models, Behavioral sciences, vehicle trajectory prediction BibRef

Wang, J.[Jie], Guo, C.[Caili], Guo, M.[Minan], Chen, J.[Jiujiu],
Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction,
ICPR22(2921-2927)
IEEE DOI 2212
Predictive models, Trajectory, Safety, Proposals, Vehicle dynamics, Autonomous vehicles BibRef

Choi, D.[Dooseop], Min, K.W.[Kyoung-Wook],
Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting,
ECCV22(XXII:129-145).
Springer DOI 2211
BibRef

Chung, N.M.[Nhat Minh], Le, H.D.A.[Huy Dinh-Anh], Nguyen, V.A.[Vuong Ai], Nguyen, Q.Q.V.[Quang Qui-Vinh], Nguyen, T.D.M.[Thong Duy-Minh], Thái, T.T.[Tin-Trung], Ha, S.V.U.[Synh Viet-Uyen],
Multi-Camera Multi-Vehicle Tracking with Domain Generalization and Contextual Constraints,
AICity22(3326-3336)
IEEE DOI 2210
Training, Tracking, Urban areas, Distortion, Data models, Trajectory BibRef

Wang, G.[Gaoang], Gu, R.[Renshu], Liu, Z.[Zuozhu], Hu, W.J.[Wei-Jie], Song, M.L.[Ming-Li], Hwang, J.N.[Jenq-Neng],
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking,
ICCV21(9856-9866)
IEEE DOI 2203
Training, Visualization, Target tracking, Image resolution, Tracking, Benchmark testing, Trajectory, Motion and tracking, BibRef

Chen, G., Hu, L., Zhang, Q., Ren, Z., Gao, X., Cheng, J.,
ST-LSTM: Spatio-Temporal Graph Based Long Short-Term Memory Network For Vehicle Trajectory Prediction,
ICIP20(608-612)
IEEE DOI 2011
Trajectory, Predictive models, Hidden Markov models, Feature extraction, Data models, Data mining, Decoding, autonomous vehicles BibRef

Becattini, F.[Federico], Seidenari, L.[Lorenzo], Berlincioni, L.[Lorenzo], Galteri, L.[Leonardo], del Bimbo, A.[Alberto],
Vehicle Trajectories from Unlabeled Data Through Iterative Plane Registration,
CIAP19(I:60-70).
Springer DOI 1909
BibRef

Sekiyama, N.[Noritaka], Kato, J.[Jien], Watanabe, T.[Toyohide],
Predicting Attainable Region of Vehicle Using Trajectory Clustering,
MVA09(291-).
PDF File. 0905
BibRef

Brémond, F.[François], Pusiol, G.[Guido],
Commentary Paper on 'Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis',
AVSBS08(162-163).
IEEE DOI 0809

See also Contextual Activity Visualization from Long-Term Video Observations. BibRef

Zhang, X.[Xu],
Computation of Vehicle Trajectories Using a Neural Network,
BMVC93(xx-yy).
PDF File. 9309
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Tracking, Re-Identification .