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Driver assistance systems: What sensors can do

The sensor technology of the new Shake Sensor complements existing assistance and safety systems and also enables vehicles to \'feel\' and \'hear\'. Figure: HELLA

Camera systems (optical sensors)

Camera systems are also frequently used to survey the surroundings. One core application, for example, is traffic sign recognition. The detected signs are displayed directly on the instrument display or the screen. In many cases, traffic sign recognition also serves as an information base for other driver assistance systems, such as the priority warning system, the wrong-way driving warning system or the speed warning function.

Modern cameras can also recognise and even distinguish between obstacles in front of the vehicle. Both mono and stereo cameras are used. The latter are able to detect obstacles in 3D without additional sensor technology. With a stereo camera, however, the installation space limits 3D imaging: the smaller the distance between the two camera lenses, the smaller the effective three-dimensional measuring range. This means that stereo cameras can see in 3D up to 50 m in front of the vehicle. Furthermore, the differences in perspective of the two images taken are too small to derive 3D information from them. Above this limit, the camera behaves like a mono camera.

 

The range of a mono camera is around 250 m, regardless of the installation space. By combining the images from several cameras and sensors, a three-dimensional image can be created. Cameras inside the vehicle can also detect whether the driver is tired or distracted. Cameras outside the vehicle (front and rear) also record the car's immediate surroundings and point out obstacles.

Infrared sensors

On the contrary, infrared cameras are used for night-vision assistants. They respond to heat radiation from objects. Converted to black and white images, the information is shown on the combined display. Cooler surroundings appear dark, people and animals appear conspicuously bright. Modern systems detect people and larger wild animals at a distance of up to 300 m. A warning signal sounds in dangerous situations. Depending on the headlamp system, it is possible, for example, to warn the person with short light pulses.

Merging sensor data

All relevant data from ultrasound, radar, lidar, cameras and other systems can be linked intelligently and in real time using sensor fusion. Looking forward, this is what makes automated driving possible in the first place. Redundancies, i.e. partially overlapping results for recognition of the surroundings, are an express requirement. Redundancies and plausibility checks, i.e. checking within the system whether the data about the surroundings has been recorded correctly, are the only things that largely stop the data being incorrectly interpreted. Therefore, depending on the driver assistance systems, the degree of automation and the vehicle class, we are dealing with an individual mix of information and sensors and ever more data that must be processed in real time. It is already a technological masterpiece!

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