Volker Dr.-Ing. Schmid

Situation assessment algorithm for a collision prevention assistant

In this paper, we present the concept of a collision prevention assistant, a system that we believe can significantly contribute to road safety. We propose a new situation assessment algorithm which is tailored to the action of braking and that further accounts for the nonlinearities that arise when vehicles cut out or come to a standstill. The effect of sensor uncertainty on the performance of the proposed algorithm is modelled using a Markov chain and analyzed by means of a Monte Carlo simulation on a typical traffic situation.

Short Range Radar System for Automotive Applications

The number of cars in Europe is increasing, leading to a higher traffic density. The average age of drivers is increasing consistent with demographics of the total European population. Every second accident involving vehicles is related to traffic situations in which faster reaction of the driver could have mitigate crash consequences. So, there is an increased need and appreciation for obstacle detection that operate at day and night.