Development of Sensor Fusion Based ADAS Modules in Virtual Environments

Abstract

Advanced Driving Assistance Systems (ADAS), like adaptive cruise control, collision avoidance systems, and, ultimately, autonomous driving, are increasingly evolving into safety-critical systems. To increase reliability of the system, virtual simulation environments are used during design, development, and validation phases. This paper describes a practical experience and high-level results from the development of ADAS functions in a virtual simulation environment. Two sensor-fusion based ADAS functions have been developed, namely, (i) static obstacle detection and (ii) dynamic object detection and tracking.