TNO and Torc Robotics collaborate to use real-world data for autonomous truck validation
StreetWise is a data-driven methodology developed in TNO’s program to make traffic more efficient, sustainable, and safer. It offers a solution to “knowing” foreseeable traffic situations that trucks will encounter on a trip from one hub to another. The methodology provides real-world scenarios and test cases for the development and assessment of Level 4 driving systems through automated analysis of driving data. Torc is implementing StreetWise as a tool in its validation pipeline to analyze its real-world drive data. From the database parameters, substantial statistics are derived, keeping the original scenarios classified. The resulting scenario information enables Torc to apply thorough, virtual validation, according to state-of-the-art international safety assessment processes.