Sensor fusion of Lidar and radar combining the advantages of both sensor types has been used earlier, e.g., by Yamauchi to make their system robust against adverse weatherconditions. Blanc et al.present an application that focuses
on the reliable association of detected obstacles to lanes and
the reduction of false alarms (phantom obstacles). A variety
of applications of sensor fusion methods in cars are given by
Kaempchen et al. in [7].
The remainder of this paper is structured as follows: Section
II presents our data fusion approach. Section III and
Section IV illustrate how the obstacles are incorporated in
the path-planning process and velocity calculation for the
autonomous car. Experimental results during a test run on
public highways are given in Section V. Finally, Section VI
draws conclusions and discusses future work.