Estimation performance with 3D vehicle model of novel positioning algorithm in radar network systems

Abstract

We focus on forward-looking systems with radar network systems for automotive. By using multiple radars, the radar network systems can achieve reliable detection and wide observation area. The forward-looking system by cameras is famous, but not all-around system. So the system had better be used with other sensing devices such as the radar network. The system will become more reliability. In the radar network, it is important to process the data derived from the multiple receivers. We have proposed some position estimation algorithms. In our past works, we used a single point model as one target. In this paper, we will introduce our data processing and estimation algorithm with 3D target model. Finally, the estimation performance and remaining problems will be presented.