‘A method of solution is perfect if we can foresee from the start, and even prove, that following that method we shall attain our aim.’ — Gottfried Wilhelm Leibniz
‘A method of solution is perfect if we can foresee from the start, and even prove, that following that method we shall attain our aim.’ — Gottfried Wilhelm Leibniz
The recent Cruise recall, which was initiated last week to address a “unique combination of parameters” provides us with a glimpse into the future of autonomous driving.
A case study for uncovering AV edge cases using hyper-scale virtual simulation
Our first two OSC2 automation expert seminars were extremely successful, with hundreds of attendees and a lively exchange of information both in the Q&A sessions and on chat.
You may think that I got carried away with the title here … but look at it like this: the future of the automotive industry ignites the imagination.
Hectic times in Foretellix. It seems like in a coordinated move, much of the industry realized that abstract scenarios, automation, and coverage measurement are the right path for productivity and safety.
At Foretellix, we continue evolving M-SDL to meet industry needs, with the intention of converging Open M-SDL with OpenSCENARIO 2.0. As in previous versions, updates were made in response to customer needs, partner feedback, and inputs we get through our participation in ASAM’s OpenSCENARIO 2.0 development project. We want to thank them all.
Foretellix and Mobileye demo the new package with RSS and show safety regulation compliance
Given the challenges of verifying and validating (V&V) ADAS and automated highway functions, how would you describe the ideal toolset and methodology?
Language is one of the most important tools that we have in our toolbox – we read, write, debug, think, and communicate, in the provided language terms. The Measurable Scenario Description Language (M-SDL) is a highly developed modeling language addressing the challenges of Autonomous Vehicle (AV) and Advanced Driver Assistance Systems (ADAS) verification.
The challenge: The growing complexity of automated driving systems such as Lane Keep Assist, Lane Centering and Adaptive Cruise Control challenge existing verification and validation (V&V) methodologies used in the automotive industry. As these systems become more prevalent, bugs surface and failures occur.
Whether you are working on ADAS and about to move up to more advanced autonomous functions, or working on the long tail of L4 autonomy, one thing is for sure: you are about to face exponential growth in the number of scenarios you need to test in order to get your autonomous product out.
We’ll get back to you as soon as possible.
