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MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory
  Prediction in Mixed Traffic

MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic

14 February 2020
Hao Cheng
Wentong Yang
Michael Ying Yang
Monika Sester
Bodo Rosenhahn
ArXivPDFHTML

Papers citing "MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic"

2 / 2 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
41
3
0
24 Feb 2025
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
19
36
0
11 Aug 2023
1