Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction
Author:
Affiliation:
1. University of Gothenburg,Department of Computer Science and Engineering,Gothenburg,Sweden
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9782498/9782591/09782673.pdf?arnumber=9782673
Reference25 articles.
1. RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs
2. Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
3. SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs
4. You'll never walk alone: Modeling social behavior for multi-target tracking
5. Crowds by Example
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1. An Advanced Framework Incorporating Social Interaction Factors for Predicting the Crossing Trajectory of Multiple Pedestrians at Midblock Crosswalks;2024
2. Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review;IEEE Transactions on Intelligent Transportation Systems;2023-11
3. Trajectory prediction considering the behavior of pedestrians intersecting with vehicles;Advanced Robotics;2023-09-04
4. Holistic Spatio-Temporal Graph Attention for Trajectory Prediction in Vehicle–Pedestrian Interactions;Sensors;2023-08-23
5. Outdoor Traffic Scene Risk Estimation in the Context of Autonomous Driving;2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP);2022-09-22
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