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The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to overcome on the journey to fully autonomous vehicles.
Attention and effort , volume 1063
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Multiple futures prediction
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The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany
Krajewski, R.; Moers, T.; Bock, J.; Vater, L.; and Eckstein, L. 2020 · 2020
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Interaction-aware motion prediction for autonomous driving: A multiple model kalman filtering scheme
Lefkopoulos, V.; Menner, M.; Domahidi, A.; and Zeilinger, M. N. 2020 · 2020
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Pedestrian trajectory prediction combining probabilistic reasoning and sequence learning
Li, Y.; Lu, X.-Y.; Wang, J.; and Li, K. 2020 · 2020
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Learning lane graph representations for motion forecasting
Liang, M.; Yang, B.; Hu, R.; Chen, Y.; Liao, R.; Feng, S.; and Urtasun, R. 2020 · 2020
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Defining interactions: A conceptual framework for understanding interactive behaviour in human and automated road traffic
Markkula, G.; Madigan, R.; Nathanael, D.; Portouli, E.; Lee, Y. M.; Dietrich, A.; Billington, J.; Schieben, A.; and Merat, N. 2020 · 2020
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Huang, Y.; Du, J.; Yang, Z.; Zhou, Z.; Zhang, L.; and Chen, H. 2022 · 2022
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Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
Huang, Z.; Mo, X.; and Lv, C. 2022 · 2022
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Lane change strategies for autonomous vehicles: a deep reinforcement learning approach based on transformer
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Explainable multimodal trajectory prediction using attention models
Zhang, K.; and Li, L. 2022 · 2022
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Ssl-lanes: Self-supervised learning for motion forecasting in autonomous driving
Bhattacharyya, P.; Huang, C.; and Czarnecki, K. 2023 · 2023
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Gao, K.; Li, X.; Chen, B.; Hu, L.; Liu, J.; Du, R.; and Li, Y. 2023 · 2023
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Liao, H.; Shen, H.; Li, Z.; Wang, C.; Li, G.; Bie, Y.; and Xu, C. 2023 · 2023
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WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction
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Mpcvit: Searching for accurate and efficient mpc-friendly vision transformer with heterogeneous attention
Zeng, W.; Li, M.; Xiong, W.; Tong, T.; Lu, W.-j.; Tan, J.; Wang, R.; and Huang, R. 2023 · 2023
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