Creation and Variation of Traffic Scenarios for Virtual Validation of Automated Driving Systems
By Marco Roggero, Shashank Sharma, Will Tripp, Mark Corless, and Sravan Kumar Chaganti, MathWorks
Automated driving is getting massive attention from industry, road authorities, and consumers. Tests are crucial for convincing the market that autonomous vehicles are reliable and secure. Virtual validation provides an efficient and systematic way to test these systems. Such validation requires simulation environments that closely resemble real-world environments and include control algorithms, options for creating traffic scenarios, sensor models, and representations of vehicle dynamics.
In this paper, we first show different ways of generating virtual driving scenarios. These ways include designing virtual driving scenarios using both scripts and graphical user interfaces, importing scenarios from preexisting libraries, and generating scenarios using data recorded from on-vehicle sensors. In a second section, we explain how to programmatically create variations of an existing scenario. The generated scenarios can be used in closed-loop simulations to model and test controllers.
This paper was presented at Embedded World Conference 2020.
Published 2020
