Using a proactive sensor-system in the Distributed Environment Model

Abstract

In this paper we present the usage of the Distributed Environment Model (DEM) to supply a proactive sensor system. The proactive sensor-system is a novel approach which combines low-resolution range sensors with high-resolution range sensors. Its aim is to achieve a better cost-benefit ratio on getting accurate knowledge about the environment of a car. We describe the main concepts of the DEM and of the proactive sensor system. Furthermore, we show synergistic effects of the DEM environment knowledge base combined with the efficient object classification done by the proactive sensor system. Finally, an evaluation of the DEM and the proactive sensor system in real traffic scenarios is presented.

Driving situation analysis in automotive environment

“…This information is used to distribute data to hosts, on which it is needed in the upcoming driving situation, in the cycles before the situation change will happen. In [15] we gave an evaluation of the situation analysis in a common road scenario on a german highway. We achieved recognition rates of about 89% of the driving situations in this scenario and by using the current driving situation for data distribution the bus-load could be reduced by about 17%.…”

“…Also in [15] we showed that a proactive sensor system [16] can benefit from the gained information about the current driving situation. If the ego vehicle is located in an urban environment, it is useful to assign a higher utility to detecting pedestrians and bicyclists, whereas if the road map indicates a highway traffic environment, the search for pedestrians might well be substituted with an intensive search for cars and lorries.…”