Novel Video Prediction for Large-scale Scene using Optical Flow

Understand

Making predictions of future frames is a critical challenge in autonomous driving research.

• Most of the existing methods for video prediction attempt to generate future frames in simple and fixed scenes.
• In this paper, we propose a novel and effective optical flow conditioned method for the task of video prediction with an application to complex urban scenes.
• In contrast with previous work, the prediction model only requires video sequences and optical flow sequences for training and testing.