More than 350 years ago, Sir Isaac Newton formulated the theory of gravity and laws of motion. These include the relationships between variables such as speed, time, distance, and acceleration that natural motions universally adhere to.
More than 350 years ago, Sir Isaac Newton formulated the theory of gravity and laws of motion. These include the relationships between variables such as speed, time, distance, and acceleration that natural motions universally adhere to.
Safety, together with its Verification and Validation, is the largest unsolved problem in autonomous driving. Safety is also simultaneously a purpose, blocker, enabler, and expected consequence of autonomous driving. Solving it requires radical innovations exceeding those enabling core autonomy capabilities like Perception, Prediction, and Planning. This is because truly effective Safety solutions address not only technology but also mindset, development methodology, and culture. Foretellix is leading the charge, which makes it tremendously exciting to be here.
On July 20th, 2022, the Association for Standardization of Automation and Measuring Systems (ASAM) released its latest standard language and domain model for scenario-based testing – ASAM OpenSCENARIO® 2.0.0 (OSC2.0). OSC2.0 offers abstraction and power features to advance industry best practices.
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.
Increasingly, thought leaders and executives within the automotive industry have shared their concerns about the validity of miles and disengagements as metrics for safe deployment of autonomous vehicles, and some have started proposing alternative metrics.
We’ll get back to you as soon as possible.
