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Potential Field: Interpretable and Unified Representation for Trajectory
  Prediction

Potential Field: Interpretable and Unified Representation for Trajectory Prediction

18 November 2019
Shan Su
Cheng Peng
Jianbo Shi
Chiho Choi
ArXivPDFHTML

Papers citing "Potential Field: Interpretable and Unified Representation for Trajectory Prediction"

4 / 4 papers shown
Title
Characterizing Structured versus Unstructured Environments based on Pedestrians' and Vehicles' Motion Trajectories
Characterizing Structured versus Unstructured Environments based on Pedestrians' and Vehicles' Motion Trajectories
Mahsa Golchoubian
M. Ghafurian
N. L. Azad
Kerstin Dautenhahn
44
4
0
24 Feb 2025
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory
  Prediction using Diffusion Graph Convolutional Networks
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks
Keshu Wu
Yang Zhou
Haotian Shi
Xiaopeng Li
Bin Ran
26
14
0
05 Sep 2023
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction
  and Tracking
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
Jiachen Li
Hengbo Ma
Zhihao Zhang
Jinning Li
Masayoshi Tomizuka
55
68
0
18 Feb 2021
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Chiho Choi
Joon Hee Choi
Srikanth Malla
Jiachen Li
38
65
0
01 Apr 2020
1