IN-VEHICLE CAMERA IMAGES PREDICTION BY GENERATIVE ADVERSARIAL NETWORK
Junta Watanabe, Tad Gonsalves · 2019
Moving object detection is one of the fundamental technologies necessary to realize autonomous driving.In this study, we propose the prediction of an in-vehicle camera image by Generative Adversarial Network (GAN).From the past images input to the system, it predicts the future images at the output.By predicting the motion of a moving object, it can predict the destination of the moving object.The proposed model can predict the motion of moving objects such as cars, bicycles, and pedestrians.