Testing machine learning in autonomous systems

The adoption and acceptance of autonomous vehicles in society depends heavily on the ability to have confidence in the systems and features providing autonomous functionality. This requires a significant focus on test, including test strategy, test workflow and test assets. However, testing  autonomous systems is extremely challenging and novel, because these systems under test are developed and based on machine-learning algorithms and operate in a near-infinite state-space. Jason Marks, business development manager at National Instruments will identify some strategies that vehicle manufacturers and suppliers employ to tackle this challenge, from simulation-heavy test to deployable hardware test solutions. He will cover the intricacies of simulation and areas of investment that have not been adequately addressed today.