Only the parallel deployment of three sensor principles ensures that automated driving will offer maximum safety when it is rolled out. This has been confirmed by Bosch analyses, where developers investigated all use cases of automated driving functions – from highway assist to fully automated driving in cities. For example, if a motorcycle approaches an automated vehicle at high speed at a junction, lidar is needed in addition to camera and radar to ensure the reliable sensing of the two-wheeler. In this instance, radar can struggle to detect the bike’s narrow silhouette and plastic fairings. Moreover, a camera can always be dazzled by harsh light falling on it. As such, there is a need for radar, camera, and lidar, with the three technologies complementing each other perfectly and delivering reliable information in every driving situation.
Lidar offers very high resolution with a long range and a wide field of vision. As a result, the laser-based distance measurement tool can reliably detect even non-metallic objects at a great distance, such as rocks on the road. This means there is plenty of time to initiate driving maneuvers such as braking or swerving. At the same time, using lidar in vehicles exposes the lidar system’s components, such as the detector and the laser, to many stresses – above all, with regard to temperature resistance and reliability over the vehicle’s entire lifetime. Because Bosch can draw on its sensor expertise and systems know-how in the fields of radar and camera technology when developing the lidar, the company can ensure that all three sensor technologies dovetail with each other.