Edge-Enriched Graph Transformer for Multiagent Trajectory Prediction With Relative Positional Semantics
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology, Beijing, China
Funder
Program for National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/19/10367905/10550170.pdf?arnumber=10550170
Reference47 articles.
1. MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
2. SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
3. STS-DGNN: Vehicle Trajectory Prediction via Dynamic Graph Neural Network With Spatial–Temporal Synchronization
4. ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting
5. Spatio-Temporal Interaction Aware and Trajectory Distribution Aware Graph Convolution Network for Pedestrian Multimodal Trajectory Prediction
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