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Accurate trajectory prediction is essential for the safety and efficiency of autonomous driving.
Collective dynamics of ‘small-world’networks
Watts, D. J.; and Strogatz, S. H. 1998 · 1998
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Renormalization group analysis of the small-world network model
Newman, M. E.; and Watts, D. J. 1999 · 1999
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Trajectory forecasts in unknown environments conditioned on grid-based plans
Deo, N.; and Trivedi, M. M. 2020 · 2001
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DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
Yuan, Y.; and Kitani, K. 2020 · 2003
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Likelihood-Based Diverse Sampling for Trajectory Forecasting
Ma, Y. J.; Inala, J. P.; Jayaraman, D.; and Bastani, O. 2021 · 2011
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Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control
Ramezani, M.; Haddad, J.; and Geroliminis, N. 2015 · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alahi, A.; Goel, K.; Ramanathan, V.; Robicquet, A.; Fei-Fei, L.; and Savarese, S. 2016 · 2016
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Efficient control of fully automated connected vehicles at freeway merge segments
Letter, C.; and Elefteriadou, L. 2017 · 2017
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Convolutional social pooling for vehicle trajectory prediction
Deo, N.; and Trivedi, M. M. 2018 · 2018
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Non-local social pooling for vehicle trajectory prediction
Messaoud, K.; Yahiaoui, I.; Verroust-Blondet, A.; and Nashashibi, F. 2019 · 2019
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MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Chai, Y.; Sapp, B.; Bansal, M.; and Anguelov, D. 2020 · 2020
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Optimizing the safety-efficiency balancing of automated vehicle car-following
Liu, X.; Shen, D.; Lai, L.; and Le Vine, S. 2020 · 2020
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
Salzmann, T.; Ivanovic, B.; Chakravarty, P.; and Pavone, M. 2020 · 2020
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Introducing neuromodulation in deep neural networks to learn adaptive behaviours
Vecoven, N.; Ernst, D.; Wehenkel, A.; and Drion, G. 2020 · 2020
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Environment-attention network for vehicle trajectory prediction
Cai, Y.; Wang, Z.; Wang, H.; Chen, L.; Li, Y.; Sotelo, M. A.; and Li, Z. 2021 · 2021
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Lapred: Lane-aware prediction of multi-modal future trajectories of dynamic agents
Kim, B.; Park, S. H.; Lee, S.; Khoshimjonov, E.; Kum, D.; Kim, J.; Kim, J. S.; and Choi, J. W. 2021 · 2021
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NetTraj: A network-based vehicle trajectory prediction model with directional representation and spatiotemporal attention mechanisms
Liang, Y.; and Zhao, Z. 2021 · 2021
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Attention Based Vehicle Trajectory Prediction
Messaoud, K.; Yahiaoui, I.; Verroust-Blondet, A.; and Nashashibi, F. 2021 · 2021
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Congestion-aware multi-agent trajectory prediction for collision avoidance
Xie, X.; Zhang, C.; Zhu, Y.; Wu, Y. N.; and Zhu, S.-C. 2021 · 2021
Cited alongside, same era.
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Yuan, Y.; Weng, X.; Ou, Y.; and Kitani, K. 2021 · 2021
Cited alongside, same era.
Intention-aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles
Chen, X.; Zhang, H.; Zhao, F.; Hu, Y.; Tan, C.; and Yang, J. 2022 · 2022
Cited alongside, same era.
WSiP: wave superposition inspired pooling for dynamic interactions-aware trajectory prediction
Wang, R.; Wang, S.; Yan, H.; and Wang, X. 2023 · 2023
Later among the works it cites.
Mtp-go: Graph-based probabilistic multi-agent trajectory prediction with neural odes
Westny, T.; Oskarsson, J.; Olofsson, B.; and Frisk, E. 2023 · 2023
Later among the works it cites.
MVHGN: Multi-view adaptive hierarchical spatial graph convolution network based trajectory prediction for heterogeneous traffic-agents
Xu, D.; Shang, X.; Peng, H.; and Li, H. 2023 · 2023
Later among the works it cites.
Context-aware timewise vaes for real-time vehicle trajectory prediction
Xu, P.; Hayet, J.-B.; and Karamouzas, I. 2023 · 2023
Later among the works it cites.
Q-EANet: Implicit social modeling for trajectory prediction via experience-anchored queries
Chen, J.; Wang, Z.; Wang, J.; and Cai, B. 2024 · 2024
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Multimodal trajectory prediction conditioned on lane-graph traversals
Deo, N.; Wolff, E.; and Beijbom, O. 2022 · 2022
Cited alongside, same era.
Complementary attention gated network for pedestrian trajectory prediction
Duan, J.; Wang, L.; Long, C.; Zhou, S.; Zheng, F.; Shi, L.; and Hua, G. 2022 · 2022
Cited alongside, same era.
HGNN+: General hypergraph neural networks
Gao, Y.; Feng, Y.; Ji, S.; and Ji, R. 2022 · 2022
Cited alongside, same era.
Gohome: Graph-oriented heatmap output for future motion estimation
Gilles, T.; Sabatini, S.; Tsishkou, D.; Stanciulescu, B.; and Moutarde, F. 2022 · 2022
Cited alongside, same era.
Neuromodulation and neurophysiology on the timescale of learning and decision-making
Grossman, C. D.; and Cohen, J. Y. 2022 · 2022
Cited alongside, same era.
Social interactions for autonomous driving: A review and perspectives
Wang, W.; Wang, L.; Zhang, C.; Liu, C.; Sun, L.; et al. 2022 · 2022
Cited alongside, same era.
Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning
Xu, C.; Li, M.; Ni, Z.; Zhang, Y.; and Chen, S. 2022 · 2022
Cited alongside, same era.
Social Force Embedded Mixed Graph Convolutional Network for Multi-class Trajectory Prediction
Du, Q.; Wang, X.; Yin, S.; Li, L.; and Ning, H. 2024 · 2024
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Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning
Lan, Z.; Ren, Y.; Yu, H.; Liu, L.; Li, Z.; Wang, Y.; and Cui, Z. 2024 · 2024
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Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
Liao, H.; Li, Y.; Li, Z.; Wang, C.; Li, G.; Tian, C.; Bian, Z.; Zhu, K.; Cui, Z.; and Hu, J. 2024c · 2024
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Human observation-inspired trajectory prediction for autonomous driving in mixed-autonomy traffic environments
Liao, H.; Liu, S.; Li, Y.; Li, Z.; Wang, C.; Li, Y.; Li, S. E.; and Xu, C. 2024g · 2024
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VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions
Moon, S.; Woo, H.; Park, H.; Jung, H.; Mahjourian, R.; Chi, H.-g.; Lim, H.; Kim, S.; and Kim, J. 2024 · 2024
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Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
Pourkeshavarz, M.; Sabokrou, M.; and Rasouli, A. 2024 · 2024
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EMSIN: Enhanced Multi-Stream Interaction Network for Vehicle Trajectory Prediction
Ren, Y.; Lan, Z.; Liu, L.; and Yu, H. 2024 · 2024
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SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
Wong, C.; Xia, B.; Zou, Z.; Wang, Y.; and You, X. 2024 · 2024
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SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
Zhang, Q.; Yang, Y.; Li, P.; Andersson, O.; and Jensfelt, P. 2024 · 2024
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Laformer: Trajectory prediction for autonomous driving with lane-aware scene constraints
Liu, M.; Cheng, H.; Chen, L.; Broszio, H.; Li, J.; Zhao, R.; Sester, M.; and Yang, M. Y. 2024 · 2049
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