A review categorizing 2020-2025 deep learning methods for multi-agent human trajectory prediction by architecture, input representations, and strategies, with emphasis on ETH/UCY benchmark evaluations and future challenges.
Towards collision-free probabilistic pedestrian motion prediction for autonomous vehicles
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Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
A review categorizing 2020-2025 deep learning methods for multi-agent human trajectory prediction by architecture, input representations, and strategies, with emphasis on ETH/UCY benchmark evaluations and future challenges.