Simulation To Improve The Safety of Autonomous Vehicles

Simulation To Improve The Safety of Autonomous Vehicles

While the long march towards autonomous vehicles continues at pace, one of the most pressing issues for the automotive industry is that of testing and validation. For the general public to accept driverless cars en mass, there must be proof of the safety of autonomous systems.

Despite some estimates that up to 90% of the world’s traffic fatalities could be prevented with autonomous vehicles, every crash involving a driverless car has a huge impact on public trust. To date, the testing of autonomous cars and the training of the systems that control them has required vehicles to drive millions of miles to evaluate a vast range of realworld driving conditions.

Research from the University of Michigan estimates that the level of authentication required to validate autonomous vehicles via on-road testing could take a decade to complete. The team behind the research suggest that the use of augmented reality technology could accelerate the testing of autonomous vehicles and at the same time reduce the associated costs.

The use of virtual reality and augmented reality for simulation is gaining traction throughout the industry, as various companies and organizations seek to improve safety by leveraging the technologies for testing and machine learning.

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