Towards a generic and efficient environment model for ADAS

In research projects for future ADAS functions a dense environment model covering free space is often necessary, which is obtained by complementing or replacing a common object list by a grid based environment model. The drawbacks of grid based models are their demands for memory, computational resources and bandwidth. This paper analyzes the influence of data compression on accuracy and resource demand of a grid. By using a simple compression scheme the transmission bandwidth and the required computational resources can be significantly reduced.