Automated Driving Technologies
Automated driving (AD) systems, such as adaptive cruise control, automated emergency braking, lane departure warning systems, forward collision avoidance systems and pedestrian detection technologies, are aimed at combatting the problem of driver error and reducing accidents. However, AD technologies only improve overall safety if they operate flawlessly under every operational scenario. As automakers seek to steadily increase their vehicles' AD capabilities — approaching SAE Levels 3 and 4 — the ability to master the design complexity by a model-based development approach and to analyze and validate design candidates in early phases through simulation have emerged as key differentiating factors. The Ansys SCADE family of model-based embedded software development solutions is designed specifically to support the development of AD and other safety-critical technologies, offering significant time and cost savings over traditional development methods.
Learn More: Explore how automakers are improving the accuracy and speed of embedded software development by 50%.
Simulate Real-World AD Performance
SCADE and the Ansys VRXPERIENCE Driving Simulator powered by SCANeR support all validation and verification activities for the AD embedded software model. Working together, these two solutions simulate real-world AD performance, improve the software design, then re-test it until the desired performance level is reached. As the level of autonomy progresses from level 0 (no automation or assistance) to level 5 (full autonomy), the simulation of the entire driving experience is essential for achieving a five-star NCAP rating.
Safety of the Intended Functionality (SOTIF)
SOTIF identifies and addresses potentially hazardous performance shortfalls in autonomous vehicle systems that occur even in the absence of a system failure. This includes performance limitations of sensors or object recognition, as well as improperly handled events in the road environment. Ansys medini analyze can easily navigate the systematic identification, evaluation and subsequent risk mitigation of these hazards. Engineers can simultaneously meet the demands of both functional safety and SOTIF standards — ISO 26262 and ISO 21448, respectively — using Ansys software. Whatever the cause of a potential safety issue, whether a software bug or a sensor limitation, the linkage between safety analysis and the overall system architecture allows medini analyze to clearly identify cause–effect chains throughout the system components and specify appropriate measures to mitigate the root cause of the inappropriate behavior.
Learn More: Explore Safety of the Intended Functionality: How Ansys Can Help You Meet This New Standard for Autonomous Vehicles
Embedded Perception Software
Reduce costs of automated driving system embedded perception software testing and safety with Ansys SCADE Vision powered by Hologram. As it automatically analyzes video-based sensor data from test drives of simulated traffic scenarios, SCADE Vision augments the original video input with artificial disturbances to identify scenes where the object recognition of the software under test comes close to its limits. This empowers perception engineers to review far fewer scenes that show edge cases and assign tags that indicate potential root causes of the abnormality, such as heavy rain resulting in weak detection. These abnormalities, together with the assigned tags, can then be exported back into medini analyze to complete the causal analysis. In compliance with SOTIF standards, a safety analyst can then draw the right conclusions and recommend counteractions, ranging from improved training sets for perception algorithms to specific filters or even the incorporation of additional sensors.
Learn More: Resolving Visual "Edge Cases" Leads to Safer Autonomous Vehicles