出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：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.
