Abstract
The present research focuses on a motorcycle rider assistance system that uses a camera to inform the rider when the preceding vehicle is approaching. The behavior of motorcycles differs from that of four-wheeled vehicles, and must be taken into account when developing functions. In this paper, we propose both ego vehicle and other vehicles path prediction algorithms, which is necessary for the system to select objects to watch, considering the characteristics of motorcycles.
