“If You Could See Me through My Eyes”: Predicting Pedestrian Perception
Author:
Affiliation:
1. Institute of Computer Engineering, University of Lübeck,Lübeck,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9782498/9782591/09782646.pdf?arnumber=9782646
Reference51 articles.
1. Pedestrian trajectory prediction via the Social‐Grid LSTM model
2. Social LSTM: Human Trajectory Prediction in Crowded Spaces
3. Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network
4. Person Tracking in Large Public Spaces Using 3-D Range Sensors
5. 3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data
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