Fast-tracking Safe Autonomous Vehicles
Autonomous vehicles are threatening to disrupt the automotive, aerospace and industrial equipment industries with the emergence of self-driving cars, drones and mobile autonomous robots. They promise to drastically reduce accidents, minimize congestion, bring mobility to the immobile and perform mundane or hazardous tasks in a fraction of the time required by human-controlled vehicles. This opportunity is open to traditional industry players as well as new entrants, particularly from the high-tech sector. The race to market is on.
The critical path engineering challenge to be overcome is demonstrating compliance with safety requirements. Research has shown that for a self-driving car, this could take between 8 billion and 11 billion miles of road testing. Because physical testing is clearly not a practical solution, autonomous vehicle makers are turning to “simulated miles driven, fl own or maneuvered” as an alternative means of performing the required testing in a reasonable timeframe. This white paper discusses how ANSYS is building the industry’s only comprehensive, open and configurable solution to validate vehicle performance against safety requirements, leveraging best-in-class high-fidelity sensor models and open- and closed-loop simulations to validate the embedded software responsible for perception, localization, motion planning and motion execution.