Driving Simulation of Autonomous Vehicle with ADS Control

Abstract

To link with reality sensors and virtual scenes, this research uses the sensor simulation software PreScan as the test platform with the vehicle’s hardware-in-the-loop (HIL). Simulation on vehicle auxiliary systems and sensors is effective and efficient in a virtual road environment. To reduce costs, various sensors are tested for the future development of Ethernet AVB. The data transmission rate above 100Mbit/s is achieved and multiple car lenses and display screens are supported. Retaining high reliability of industrial-grade Ethernet satisfies car manufacturers’ demand and Tier 1 safety requirements of original equipment function. As the ADAS is equipped with multiple camera lenses, the high-speed ethernet AVB acts as an important data converging channel. The main processor of a vehicle system calculates them in real time. Image sensing data provides advanced ADAS functions such as surround view, obstacle recognition and lane deviation warning. PreScan can speed up the development process of an autonomous vehicle system.