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
Zyner, A.,
Worrall, S.,
Nebot, E.,
Naturalistic Driver Intention and Path Prediction Using Recurrent
Neural Networks,
ITS(21), No. 4, April 2020, pp. 1584-1594.
IEEE DOI
2004
Predictive models, Hidden Markov models, Trajectory, Uncertainty,
Autonomous vehicles, Road transportation, Trajectory prediction,
recurrent neural network
BibRef
Wang, Y.[Yuan],
Zhang, D.X.[Dong-Xiang],
Liu, Y.[Ying],
Tan, K.L.[Kian-Lee],
Trajectory Forecasting With Neural Networks:
An Empirical Evaluation and A New Hybrid Model,
ITS(21), No. 10, October 2020, pp. 4400-4409.
IEEE DOI
2010
Predictive models, Trajectory, Hidden Markov models,
Neural networks, Kernel, Intelligent transportation systems,
empirical evaluation
BibRef
Yan, J.[Jun],
Peng, Z.[Zifeng],
Yin, H.L.[Hui-Lin],
Wang, J.[Jie],
Wang, X.[Xiao],
Shen, Y.[Yuesong],
Stechele, W.[Walter],
Cremers, D.[Daniel],
Trajectory prediction for intelligent vehicles using spatial-attention
mechanism,
IET-ITS(14), No. 13, 15 December 2020, pp. 1855-1863.
DOI Link
2102
BibRef
Hou, L.[Lian],
Li, S.E.[Shengbo Eben],
Yang, B.[Bo],
Wang, Z.[Zheng],
Nakano, K.[Kimihiko],
Structural Transformer Improves Speed-Accuracy Trade-Off in
Interactive Trajectory Prediction of Multiple Surrounding Vehicles,
ITS(23), No. 12, December 2022, pp. 24778-24790.
IEEE DOI
2212
Trajectory, Transformers, Predictive models,
Computational modeling, Roads, Decoding, Autonomous vehicles,
transformer
BibRef
Benrachou, D.E.[Djamel Eddine],
Glaser, S.[Sebastien],
Elhenawy, M.[Mohammed],
Rakotonirainy, A.[Andry],
Use of Social Interaction and Intention to Improve Motion Prediction
Within Automated Vehicle Framework: A Review,
ITS(23), No. 12, December 2022, pp. 22807-22837.
IEEE DOI
2212
Roads, Accidents, Vehicles, Task analysis, Trajectory, Standards,
Software, Automated vehicle, social interaction, motion prediction,
trajectory prediction
BibRef
Fu, M.Y.[Meng-Yin],
Zhang, T.[Ting],
Song, W.J.[Wen-Jie],
Yang, Y.[Yi],
Wang, M.L.[Mei-Ling],
Trajectory Prediction-Based Local Spatio-Temporal Navigation Map for
Autonomous Driving in Dynamic Highway Environments,
ITS(23), No. 7, July 2022, pp. 6418-6429.
IEEE DOI
2207
Trajectory, Vehicle dynamics, Navigation, Autonomous vehicles, Roads,
Planning, Path planning, Autonomous vehicle, trajectory prediction,
NGSIM
BibRef
Sheng, Z.H.[Zi-Hao],
Xu, Y.W.[Yun-Wen],
Xue, S.B.[Shi-Bei],
Li, D.[Dewei],
Graph-Based Spatial-Temporal Convolutional Network for Vehicle
Trajectory Prediction in Autonomous Driving,
ITS(23), No. 10, October 2022, pp. 17654-17665.
IEEE DOI
2210
Trajectory, Predictive models, Autonomous vehicles,
Hidden Markov models, Feature extraction, Tensors, Vehicles,
autonomous driving
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
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
Jiang, Y.D.[Yuan-De],
Zhu, B.[Bing],
Yang, S.[Shun],
Zhao, J.[Jian],
Deng, W.W.[Wei-Wen],
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
Tang, L.Q.[Lu-Qi],
Yan, F.[Fuwu],
Zou, B.[Bin],
Li, W.B.[Wen-Bo],
Lv, C.[Chen],
Wang, K.W.[Ke-Wei],
Trajectory prediction for autonomous driving based on multiscale
spatial-temporal graph,
IET-ITS(17), No. 2, 2023, pp. 386-399.
DOI Link
2302
BibRef
Wang, X.W.[Xin-Wei],
Alonso-Mora, J.[Javier],
Wang, M.[Meng],
Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal
Trajectory Predictions,
ITS(23), No. 10, October 2022, pp. 19399-19412.
IEEE DOI
2210
Trajectory, Predictive models, Measurement, Accidents, Safety,
Uncertainty, Computational modeling,
trajectory prediction
BibRef
Liu, X.L.[Xu-Lei],
Wang, Y.[Yafei],
Jiang, K.[Kun],
Zhou, Z.S.[Zhi-Song],
Nam, K.[Kanghyun],
Yin, C.L.[Cheng-Liang],
Interactive Trajectory Prediction Using a Driving Risk Map-Integrated
Deep Learning Method for Surrounding Vehicles on Highways,
ITS(23), No. 10, October 2022, pp. 19076-19087.
IEEE DOI
2210
Trajectory, Uncertainty, Roads, Predictive models, Deep learning,
Vehicles, Safety, Automated vehicles, trajectory prediction,
deep learning
BibRef
Hu, Y.[Yeping],
Zhan, W.[Wei],
Tomizuka, M.[Masayoshi],
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware
Probabilistic Prediction,
ITS(23), No. 12, December 2022, pp. 23212-23230.
IEEE DOI
2212
Predicting the possible behaviors of traffic participants.
Semantics, Trajectory, Cognition, Autonomous vehicles, Task analysis,
Probabilistic logic, Predictive models, Probabilistic prediction,
graph reasoning
BibRef
Bhatt, N.P.[Neel P.],
Khajepour, A.[Amir],
Hashemi, E.[Ehsan],
MPC-PF: Socially and Spatially Aware Object Trajectory Prediction for
Autonomous Driving Systems Using Potential Fields,
ITS(24), No. 5, May 2023, pp. 5351-5361.
IEEE DOI
2305
Trajectory, Predictive models, Costs, Force, Autonomous vehicles,
Roads, Magnetic field measurement, Trajectory prediction,
computer vision for automation
BibRef
Lu, Y.H.[Yu-Huan],
Wang, W.[Wei],
Hu, X.P.[Xi-Ping],
Xu, P.P.[Peng-Peng],
Zhou, S.W.[Sheng-Wei],
Cai, M.[Ming],
Vehicle Trajectory Prediction in Connected Environments via
Heterogeneous Context-Aware Graph Convolutional Networks,
ITS(24), No. 8, August 2023, pp. 8452-8464.
IEEE DOI
2308
Trajectory, Vehicle dynamics, Predictive models,
Convolutional neural networks, Roads, Feature extraction, Dynamics,
interaction context
BibRef
Yu, Y.[Yang],
He, Z.B.[Zheng-Bing],
Qu, X.B.[Xiao-Bo],
On the Impact of Prior Experiences in Car-Following Models: Model
Development, Computational Efficiency, Comparative Analyses, and
Extensive Applications,
Cyber(53), No. 3, March 2023, pp. 1405-1418.
IEEE DOI
2302
Predictive models, Computational modeling, Data models,
Prediction algorithms, Analytical models, Training,
trajectory prediction
BibRef
Hu, H.Y.[Hong-Yu],
Wang, Q.[Qi],
Zhang, Z.G.[Zheng-Guang],
Li, Z.Y.[Zheng-Yi],
Gao, Z.H.[Zhen-Hai],
Holistic transformer: A joint neural network for trajectory
prediction and decision-making of autonomous vehicles,
PR(141), 2023, pp. 109592.
Elsevier DOI
2306
Autonomous vehicles, Decision-making, Holistic transformer,
Multiple cues, Trajectory prediction
BibRef
Chen, J.[Juan],
Fan, D.[Daiqian],
Qian, X.R.[Xin-Ran],
Mei, L.[Lanxiao],
KGCN-LSTM: A graph convolutional network considering knowledge fusion
of point of interest for vehicle trajectory prediction,
IET-ITS(17), No. 6, 2023, pp. 1087-1103.
DOI Link
2307
feature fusion, graph convolutional network, map-matching,
prior knowledge, trajectory prediction
BibRef
Jia, X.S.[Xiao-Song],
Wu, P.H.[Peng-Hao],
Chen, L.[Li],
Liu, Y.[Yu],
Li, H.Y.[Hong-Yang],
Yan, J.C.[Jun-Chi],
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent
Trajectory Prediction via Scene Encoding,
PAMI(45), No. 11, November 2023, pp. 13860-13875.
IEEE DOI
2310
BibRef
Reyes, G.[Gary],
Estrada, V.[Vivian],
Tolozano-Benites, R.[Roberto],
Maquilón, V.[Victor],
Batch Simplification Algorithm for Trajectories over Road Networks,
IJGI(12), No. 10, 2023, pp. 399.
DOI Link
2311
BibRef
Sun, R.[Rémy],
Lingrand, D.[Diane],
Precioso, F.[Frédéric],
Exploring the Road Graph in Trajectory Forecasting for Autonomous
Driving,
SG2RL23(71-80)
IEEE DOI
2401
BibRef
Chandra, R.[Rohan],
Bhattacharya, U.[Uttaran],
Bera, A.[Aniket],
Manocha, D.[Dinesh],
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using
Weighted Interactions,
CVPR19(8475-8484).
IEEE DOI
2002
BibRef
Hu, Y.[Yu],
Chen, X.B.[Xiao-Bo],
Intention-aware Transformer with Adaptive Social and Temporal
Learning for Vehicle Trajectory Prediction,
ICPR22(3721-3727)
IEEE DOI
2212
Adaptation models, Correlation, Predictive models,
Benchmark testing, Transformers, Trajectory, Decoding,
spatiotemporal learning
BibRef
Bahari, M.[Mohammadhossein],
Saadatnejad, S.[Saeed],
Rahimi, A.[Ahmad],
Shaverdikondori, M.[Mohammad],
Shahidzadeh, A.H.[Amir Hossein],
Moosavi-Dezfooli, S.M.[Seyed-Mohsen],
Alahi, A.[Alexandre],
Vehicle trajectory prediction works, but not everywhere,
CVPR22(17102-17112)
IEEE DOI
2210
Tracking, Navigation, Computational modeling, Roads, Machine vision,
Urban areas, Predictive models,
Vision applications and systems
BibRef
Wang, J.K.[Jing-Ke],
Ye, T.J.[Teng-Ju],
Gu, Z.Q.[Zi-Qing],
Chen, J.[Junbo],
LTP: Lane-based Trajectory Prediction for Autonomous Driving,
CVPR22(17113-17121)
IEEE DOI
2210
Tracking, Shape, Navigation, Prediction methods, Transformers,
Trajectory, Pattern recognition, Motion and tracking
BibRef
Narayanan, S.[Sriram],
Moslemi, R.[Ramin],
Pittaluga, F.[Francesco],
Liu, B.[Buyu],
Chandraker, M.[Manmohan],
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction,
CVPR21(15794-15803)
IEEE DOI
2111
Couplings, Context-aware services, Semantics, Tools,
Benchmark testing, Trajectory
BibRef
Kawasaki, A.[Atsushi],
Seki, A.[Akihito],
Multimodal Trajectory Predictions for Autonomous Driving without a
Detailed Prior Map,
WACV21(3722-3731)
IEEE DOI
2106
Training, Roads, Neural networks,
Predictive models, Generative adversarial networks, Generators
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
Buhet, T.,
Wirbel, E.,
Perrotton, X.,
Conditional Vehicle Trajectories Prediction in CARLA Urban
Environment,
ADW19(2310-2319)
IEEE DOI
2004
driver information systems, feature extraction,
image colour analysis, intelligent transportation systems,
trajectory prediction
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Collision Avoidance, Collision Detection, Marine Vessels, Ships .