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SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network
  for Trajectory Prediction of Vehicles and VRUs

SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs

12 February 2021
Sandra Carrasco
David Fernández Llorca
Miguel Ángel Sotelo
ArXivPDFHTML

Papers citing "SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs"

4 / 4 papers shown
Title
Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed
  Environments: A Systematic Review
Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review
Mahsa Golchoubian
M. Ghafurian
Kerstin Dautenhahn
N. L. Azad
27
37
0
11 Aug 2023
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency
  Towards Causal Explanations of Probabilistic Forecasts
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts
Chirag Raman
Hayley Hung
Marco Loog
24
3
0
01 Jun 2022
Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird
  Eye View Representations and CNNs
Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs
R. Izquierdo
A. Quintanar
Ignacio Parra
David Fernández Llorca
Miguel Ángel Sotelo
34
8
0
26 Aug 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
174
211
0
18 Oct 2019
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