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The infrared technology for ACC sensors has reached a high standard up til now, but there are still problems with the detection of some vehicles. The most important factors for low detection ranges are bad weather conditions and the state of the vehicle. In order to guarantee a reliable function of the sensor it's important to know about the reflection properties of the vehicles. In this diploma work the influence of different factors on the reflection properties of vehicles was investigated. The parameters, which were taken into regard, are the colour of vehicles, the geometry of the vehicle rear, the viewing angle and the contamination of vehicles. The measurements were made with a modified LEICA ODIN 3 sensor with a very small aperture of the laser beam. This modified sensor was mounted in two axes rotatable, that the rear of the cars could be scanned, to measure the reflected radiation in every point of the rear.

To be an assistance for the driver and make his journeys more comfortable are the aims of the first “ACC” (Adaptive Cruise Control). It is the first step of a new area for the automotive future. ODIN is the name of the ACC-sensor made by ADC GmbH Switzerland, which based on infrared light (IR). There are full of parameters to describe the situation in front of a vehicle. Developing an ACC-sensor, needs to define this parameters exactly. What are the requirements? This will be discussed in the first section of the lecture. The near IR is out from research and already a cheap and reliable technology. Due to the close relation between the visible light the IR technology is predestinated for an forward looking sensor. The differences between other technologies will be illustrated. ODIN has been quite a success for many ACC application at the automotive industry. ADC still improve their knowledge and wants to present how we come up to the requirements of ACC.