Topic #

Topic

1

Pedestrian Behavior Prediction: Trajectory (1)

Salzmann, T. et al.  (2020): Trajectron++: Dynamically Feasible Trajectory Forecasting with Heterogeneous Data. Proc. 16th European Conference on Computer Vision (ECCV). ref

2

Pedestrian Behavior Prediction: Trajectory (2)

Xu, C. et al.  (2024): Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning. Neural Networks, 170; Elsevier. ref

3

Pedestrian Behavior Prediction: Trajectory (3)

Muscholl, N. et al. (2020): SIMP3: Social Interaction-Based Multi-Pedestrian Path Prediction By Self-Driving Cars. Proc. 10th IEEE International Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS), IEEE. ref

4

Pedestrian Behavior Prediction: Trajectory and Action

Rasouli, A., & Kotseruba, I. (2023): PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning. Proc. IEEE International Conference on Robotics and Automation (ICRA). IEEE.  ref

5

Prediction of Other Vehicles Behavior: Trajectory

Shi, S. et al. (2024): MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying. IEEE Transactions on Pattern Analysis and Machine Intelligence.  ref

6

Safe Navigation: Hybrid Planning and Learning (1)

Pusse, F. & Klusch, M. (2019): Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars. Proc. 30th IEEE International Intelligent Vehicles Symposium (IV).  ref

7

Safe Navigation: Hybrid Planning and Learning (2)

Gupta, D. & Klusch, M. (2023): Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving. Proc. 34th IEEE International Intelligent Vehicles Symposium (IV), IEEE.  ref

8

Safe Navigation:  Learning (1)

Li, J., et al. (2024): Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. arXiv preprint arXiv:2401.12275 ref

9

Safe Navigation:  Learning (2)

Crosato, L., et al. (2022): Interaction-Aware Decision-Making for Automated Vehicles Using Social Value Orientation. IEEE Transactions on Intelligent Vehicles, 8(2). IEEE.  ref

10

Safe Navigation:  Learning (3)

Valiente, R., et al. (2022): Robustness and Adaptability of Reinforcement Learning-Based Cooperative Autonomous Driving in Mixed-Autonomy Traffic. IEEE Open Journal of Intelligent Transportation Systems, 3. IEEE.  ref

11

Safe Navigation:  Learning (4)

Wu, X., et al. (2023): iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. arXiv:2306.06236. ref