Abigail Liu

Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework

Simulating pedestrian movement is important for applications such as disaster management, robotics, and game design. While deep learning models have been extensively used on related problems, their use as pedestrian simulators remains relatively unexplored. This paper aims to encourage more research