OFMPNet: An End-to-End Deep Neural Network for Occupancy and Flow Prediction in Urban Environments

This paper introduces an end-to-end neural network methodology called OFMPNet for predicting the future behaviors of dynamic objects in road scenarios, leveraging the occupancy map and scene flow.