With the aid of the integrated navigation system (A) consisting of a high-precision GPS receiver, an inertia unit and an odometer, the vehicle is able to pinpoint its location. Using correction data (RTK) the level of precision can be increased to within a few centimeters. The vehicle’s position can be further determined with integration and filtering, even in tunnels and between blocks of houses where the view of the satellite is obscured.
The distance (and position) of surrounding objects is measured with the help of laser scanners (D,E). The data from the individual sensors are combined into a virtual sensor. The laser scanner measures the runtime of an emitted and reflected laser impulse (LIDAR – Light Detecting and Ranging). This allows objects to be detected within a distance of approx. 150m.
Several installed RADAR (F) measure the position and exact speed of surrounding objects using the Doppler effect. This information is added to the sensor data fusion along with the LIDAR data, enabling the creation of a robust model of the surrounding objects.
Cameras (B, C) installed on the windscreen record images and videos of the surrounding area. The recordings must be sufficiently clear to allow a range of diverse objects to be identified. Lane assist cameras have proven to be the most suitable for driver assistance systems. They recognize the course of the road markings and help the vehicle to remain in the correct lane. Our smart stereo camera analyzes 2D and 3D images and recognizes (and differentiates) various types of road user (pedestrians, vehicles). It is also able to identify the status of the traffic lights.