Condition-Aware Trajectory Prediction via Velocity-Aware Model Selection
Open Access
- 1 January 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 14, 159882-159897
Abstract
No abstract availableThis publication has 32 references indexed in Scilit:
- Motion forecasting for autonomous vehicles: a surveyInternational Journal of Machine Learning and Cybernetics, 2026
- Trajectory prediction for autonomous driving: Progress, limitations, and future directionsInformation Fusion, 2025
- A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous drivingNeurocomputing, 2025
- UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction2024
- Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directionsVehicular Communications, 2024
- Review of Decision-Making and Planning Approaches in Automated DrivingIEEE Access, 2022
- Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data2020
- Implicit Latent Variable Model for Scene-Consistent Motion Forecasting2020
- Learning Lane Graph Representations for Motion Forecasting2020
- Social LSTM: Human Trajectory Prediction in Crowded Spaces2016