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As the potential for autonomous vehicles to be integrated on a large scale into modern traffic systems continues to grow, ensuring safe navigation in dynamic environments is crucial for smooth integration.
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Pedestrian motion trajectory prediction with stereo-based 3d deep pose estimation and trajectory learning,
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Covernet: Multimodal behavior prediction using trajectory sets,
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Multixnet: Multiclass multistage multimodal motion prediction,
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Learning lane graph representations for motion forecasting,
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Predicting semantic map representations from images using pyramid occupancy networks,
T. Roddick, R. Cipolla, · 2020
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Research on a pedestrian crossing intention recognition model based on natural observation data,
H. Zhang, Y. Liu, C. Wang, R. Fu, Q. Sun, Z. Li, · 2020
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A hamilton-jacobi reachability-based framework for predicting and analyzing human motion for safe planning,
S. Bansal, A. Bajcsy, E. Ratner, A. D. Dragan, C. J. Tomlin, · 2020
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Rnn-based pedestrian crossing prediction using activity and pose-related features,
J. Lorenzo, I. Parra, F. Wirth, C. Stiller, D. F. Llorca, M. Á. Sotelo, · 2020
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Spatiotemporal relationship reasoning for pedestrian intent prediction,
B. Liu, E. Adeli, Z. Cao, K.-H. Lee, A. Shenoi, A. Gaidon, J. C. Niebles, · 2020
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Vehicle trajectory prediction method coupled with ego vehicle motion trend under dual attention mechanism,
H. Guo, Q. Meng, D. Cao, H. Chen, J. Liu, B. Shang, · 2022
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Complementary attention gated network for pedestrian trajectory prediction,
J. Duan, L. Wang, C. Long, S. Zhou, F. Zheng, L. Shi, G. Hua, · 2022
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Ga-stt: Human trajectory prediction with group aware spatial-temporal transformer,
L. Zhou, D. Yang, X. Zhai, S. Wu, Z. Hu, J. Liu, · 2022
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Entry-flipped transformer for inference and prediction of participant behavior,
B. Hu, T.-J. Cham, · 2022
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Holistic transformer: A joint neural network for trajectory prediction and decision-making of autonomous vehicles,
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Fussi-net: Fusion of spatio-temporal skeletons for intention prediction network,
F. Piccoli, R. Balakrishnan, M. J. Perez, M. Sachdeo, C. Nunez, M. Tang, K. Andreasson, K. Bjurek, R. D. Raj, E. Davidsson, C. Eriksson, V. Hagman, J. Sjoberg, Y. Li, L. S. Muppirisetty, S. Roychowdhury, · 2020
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Do they want to cross? understanding pedestrian intention for behavior prediction,
I. Kotseruba, A. Rasouli, J. Tsotsos, · 2020
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Knowing me, knowing you: theory of mind in ai,
F. Cuzzolin, A. Morelli, B. Cîrstea, B. J. Sahakian, · 2020
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Col-gan: Plausible and collision-less trajectory prediction by attention-based gan,
S. Liu, H. Liu, H. Bi, T. Mao, · 2020
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Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction,
A. Mohamed, K. Qian, M. Elhoseiny, C. Claudel, · 2020
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Likelihood-based diverse sampling for trajectory forecasting,
Y. J. Ma, J. P. Inala, D. Jayaraman, O. Bastani, · 2020
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Multiple trajectory prediction of moving agents with memory augmented networks,
F. Marchetti, F. Becattini, L. Seidenari, A. D. Bimbo, · 2020
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Graph-based spatial transformer with memory replay for multi-future pedestrian trajectory prediction,
L. Li, M. Pagnucco, Y. Song, · 2022
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Hivt: Hierarchical vector transformer for multi-agent motion prediction,
Z. Zhou, L. Ye, J. Wang, K. Wu, K. Lu, · 2022
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A spatio-temporal graph transformer network for multi-pedestrain trajectory prediction,
J. Zhu, Z. Lian, Z. Jiang, · 2022
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Crossmodal transformer based generative framework for pedestrian trajectory prediction,
Z. Su, G. Huang, S. Zhang, W. Hua, · 2022
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Pretr: Spatio-temporal non-autoregressive trajectory prediction transformer,
L. Achaji, T. Barry, T. Fouqueray, J. Moreau, F. Aioun, F. Charpillet, · 2022
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Trajectory prediction for autonomous driving using spatial-temporal graph attention transformer,
K. Zhang, X. Feng, L. Wu, Z. He, · 2022
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Latentformer: Multi-agent transformer-based interaction modeling and trajectory prediction,
E. Amirloo, A. Rasouli, P. Lakner, M. Rohani, J. Luo, · 2022
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Early lane change prediction for automated driving systems using multi-task attention-based convolutional neural networks,
S. Mozaffari, E. Arnold, M. Dianati, S. Fallah, · 2022
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Trajectory prediction for heterogeneous traffic-agents using knowledge correction data-driven model,
X. Xu, W. Liu, L. Yu, · 2022
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Prediction-uncertainty-aware decision-making for autonomous vehicles,
X. Tang, K. Yang, H. Wang, J. Wu, Y. Qin, W. Yu, D. Cao, · 2022
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A deep concept graph network for interaction-aware trajectory prediction,
Y. Ban, X. Li, G. Rosman, I. Gilitschenski, O. Meireles, S. Karaman, D. Rus, · 2022
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Ltp: Lane-based trajectory prediction for autonomous driving,
J. Wang, T. Ye, Z. Gu, J. Chen, · 2022
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Uncertainty estimation for cross-dataset performance in trajectory prediction,
T. Gilles, S. Sabatini, D. V. Tsishkou, B. Stanciulescu, F. Moutarde, · 2022
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Intention-interaction graph based hierarchical reasoning networks for human trajectory prediction,
C. Li, H. Yang, J. Sun, · 2022
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Stepwise goal-driven networks for trajectory prediction,
C. Wang, Y. Wang, M. Xu, D. J. Crandall, · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,
J. Li, D. Li, C. Xiong, S. C. H. Hoi, · 2022
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Multi-robot collaborative perception with graph neural networks,
Y. Zhou, J. Xiao, Y. Zhou, G. Loianno, · 2022
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Coopernaut: End-to-end driving with cooperative perception for networked vehicles,
J. Cui, H. Qiu, D. Chen, P. Stone, Y. Zhu, · 2022
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Multi-robot scene completion: Towards task-agnostic collaborative perception,
Y. Li, J. Zhang, D. Ma, Y. Wang, C. Feng, · 2022
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Latency-aware collaborative perception,
Z. Lei, S. Ren, Y. Hu, W. Zhang, S. Chen, · 2022
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V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,
R. Xu, H. Xiang, Z. Tu, X. Xia, M.-H. Yang, J. Ma, · 2022
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Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection,
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V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,
Y. Li, D. Ma, Z. An, Z. Wang, Y. Zhong, S. Chen, C. Feng, · 2022
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Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication,
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Modar: Using motion forecasting to improve lidar-based 3d object detection,
Y. Li, T. Wu, A. Sriram, S. Kumar, P. Sun, H. Kretzschmar, D. Anguelov, X. Yue, · 2022
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Virtual sparse convolution for multimodal 3d object detection,
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Powerbev: a powerful yet lightweight framework for instance prediction in bird’s-eye view,
P. Li, S. Ding, X. Chen, N. Hanselmann, M. Cordts, J. Gall, · 2023
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Informed priors for knowledge integration in trajectory prediction,
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Query-centric trajectory prediction,
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Vectormapnet: end-to-end vectorized hd map learning,
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Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction ,
G. Chen, Z. Chen, S. Fan, K. Zhang, · 2023
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Stimulus verification is a universal and effective sampler in multi-modal human trajectory prediction,
J. Sun, Y. Li, L. Chai, C. Lu, · 2023
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Physdiff: Physics-guided human motion diffusion model,
Y. Yuan, J. Song, U. Iqbal, A. Vahdat, J. Kautz, · 2023
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MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion ,
C. M. Jiang, A. Cornman, C. Park, B. Sapp, Y. Zhou, D. Anguelov, · 2023
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Belfusion: Latent diffusion for behavior-driven human motion prediction,
G. Barquero, S. Escalera, C. Palmero, · 2023
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A multi-modal vehicle trajectory prediction framework via conditional diffusion model: A coarse-to-fine approach,
Z. Li, H. Liang, H. Wang, X. Zheng, J. Wang, P. Zhou, · 2023
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Leapfrog diffusion model for stochastic trajectory prediction,
W. Mao, C. Xu, Q. Zhu, S. Chen, Y. Wang, · 2023
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Traj-mae: Masked autoencoders for trajectory prediction,
H. Chen, J. Wang, K. Shao, F. Liu, J. Hao, C. Guan, G. Chen, P.-A. Heng, · 2023
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Implicit occupancy flow fields for perception and prediction in self-driving,
B. Agro, Q. Sykora, S. Casas, R. Urtasun, · 2023
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What truly matters in trajectory prediction for autonomous driving?,
P. Tran, H. Wu, C. Yu, P. Cai, S. Zheng, D. Hsu, · 2023
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2023
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Query-centric trajectory prediction,
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2023
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,
Z. Liu, H. Tang, A. Amini, X. Yang, H. Mao, D. L. Rus, S. Han, · 2023
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Dfr-fastmot: Detection failure resistant tracker for fast multi-object tracking based on sensor fusion,
M. Nagy, M. Khonji, J. Dias, S. Javed, · 2023
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Vip3d: End-to-end visual trajectory prediction via 3d agent queries,
J. Gu, C. Hu, T. Zhang, X. Chen, Y. Wang, Y. Wang, H. Zhao, · 2023
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Planning-oriented autonomous driving,
Y. Hu, J. Yang, L. Chen, K. Li, C. Sima, X. Zhu, S. Chai, S. Du, T. Lin, W. Wang, et al., · 2023
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A physics-informed transformer model for vehicle trajectory prediction on highways,
M. Geng, J. Li, Y. Xia, X. M. Chen, · 2023
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Transformer-based multi-modal probabilistic pedestrian prediction for risk-aware autonomous vehicle navigation,
M. Mebrahtu, A. Araia, A. Ghebreslasie, J. Dias, M. Khonji, · 2023
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Spatial-temporal-spectral lstm: A transferable model for pedestrian trajectory prediction,
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Uncovering the missing pattern: Unified framework towards trajectory imputation and prediction,
Y. Xu, A. Bazarjani, H. gun Chi, C. Choi, Y. R. Fu, · 2023
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Conditional variational inference for multi-modal trajectory prediction with latent diffusion prior,
L. Qiu, X. Li, M. Sun, J. Yan, · 2023
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Context-aware timewise vaes for real-time vehicle trajectory prediction,
P. Xu, J.-B. Hayet, I. Karamouzas, · 2023
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Continuous trajectory generation based on two-stage gan,
W. Jiang, W. X. Zhao, J. Wang, J. Jiang, · 2023
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Social self-attention generative adversarial networks for human trajectory prediction,
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Tri-hgnn: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction,
W. Zhu, Y. Liu, P. Wang, M. Zhang, T. Wang, Y. Yi, · 2023
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Mtp-go: Graph-based probabilistic multi-agent trajectory prediction with neural odes,
T. Westny, J. Oskarsson, B. Olofsson, E. Frisk, · 2023
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EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning ,
C. Xu, R. T. Tan, Y. Tan, S. Chen, Y. G. Wang, X. Wang, Y. Wang, · 2023
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Evaluation of differentially constrained motion models for graph-based trajectory prediction,
T. Westny, J. Oskarsson, B. Olofsson, E. Frisk, · 2023
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Ptp-stgcn: Pedestrian trajectory prediction based on a spatio-temporal graph convolutional neural network,
J. Lian, W. Ren, L. Li, Y. Zhou, B. Zhou, · 2023
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Mvhgn: Multi-view adaptive hierarchical spatial graph convolution network based trajectory prediction for heterogeneous traffic-agents,
D. Xu, X. Shang, H. Peng, H. Li, · 2023
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Stigcn: spatial–temporal interaction-aware graph convolution network for pedestrian trajectory prediction,
W. Chen, H. Sang, J. Wang, Z. Zhao, · 2023
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Gatraj: A graph- and attention-based multi-agent trajectory prediction model,
H. Cheng, M. Liu, L. Chen, H. Broszio, M. Sester, M. Y. Yang, · 2023
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Multi-stream representation learning for pedestrian trajectory prediction,
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Mfan: Mixing feature attention network for trajectory prediction,
J. Li, L. Yang, Y. Chen, Y. Jin, · 2023
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Vnagt: Variational non-autoregressive graph transformer network for multi-agent trajectory prediction,
X. Chen, H. Zhang, Y. Hu, J. Liang, H. Wang, · 2023
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Multimodal manoeuvre and trajectory prediction for automated driving on highways using transformer networks,
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Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction,
C. Feng, H. Zhou, H. Lin, Z. Zhang, Z. Xu, C. Zhang, B. Zhou, S. Shen, · 2023
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SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction ,
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Visiontrap: Vision-augmented trajectory prediction guided by textual descriptions,
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Nexusad: Exploring the nexus for multimodal perception and comprehension of corner cases in autonomous driving,
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Drivevlm: The convergence of autonomous driving and large vision-language models,
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An Advanced Driving Agent with the Multimodal Large Language Model for Autonomous Vehicles ,
J. Chen, S. Lu, · 2024
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Talk2bev: Language-enhanced bird’s-eye view maps for autonomous driving,
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Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,
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Depth anything: Unleashing the power of large-scale unlabeled data,
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MACP: Efficient Model Adaptation for Cooperative Perception ,
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TUMTraf V2X Cooperative Perception Dataset ,
W. Zimmer, G. A. Wardana, S. Sritharan, X. Zhou, R. Song, A. C. Knoll, · 2024
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Demo: A dynamics-enhanced learning model for multi-horizon trajectory prediction in autonomous vehicles,
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Smartpretrain: Model-agnostic and dataset-agnostic representation learning for motion prediction,
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Unitraj: A unified framework for scalable vehicle trajectory prediction,
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Nuscenes-qa: a multi-modal visual question answering benchmark for autonomous driving scenario,
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Di-v2x: learning domain-invariant representation for vehicle-infrastructure collaborative 3d object detection,
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Deepaccident: a motion and accident prediction benchmark for v2x autonomous driving,
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