Model based evaluation and inspection of an advanced driver assistance system based spatial image acquisition sensor

Abstract

Large amounts of visual data are required for the optimization of road surface maintenance logistics — the used data should be acquired as frequently and stored in databases as up-to-date as possible. An incredibly cost-efficient method of acquisition of such visual data can be carried out using a crowdsensing-based approach. Since one of the most important considerations when designing such a system is to make the solution available, or easily accessible, to as many contributors as possible, it is evident to form the aforementioned crowdsensing-based system making use of vision based driver assistance systems. These systems are present in the majority of medium or top class automobiles produced nowadays. By using a laser strip projector, the functionality of one of the most widely used driver assistance systems, the lane keeping system can be extended, while the original operation is not effected. In this paper the simulation prepared for the examination of the qualities of a road surface investigating sensor is presented. Additionally, the results of this simulation are compared with those of a functional model of such an equipment.