Using eHorizon to Enhance Camera-Based Environmental Perception for Advanced Driver Assistance Systems and Automated Driving

Driven by the vision of automated driving (AD), future advanced driver assistant systems (ADAS) will require considerably stronger capability of environment perception compared to the current ones. Among the automotive sensors, camera(s) can deliver the richest environmental information and will be indispensable in AD-scenarios. However, it is practically not easy to match in real time the objects of a camera picture to the original ones on the road. This paper suggests a solution to this problem consisting of simple calculations based on optical and mounting parameters of the camera and road topology data provided by the electronic horizon (eHorizon). Given the fact that the eHorizon is increasingly deployed due to its great potential for optimized fuel and energy consumption, the proposed solution does not require additional budget of material (BOM) and provides large benefit in enabling and enhancing a lot of ADAS and AD applications.