Laying out the challenges in AI Safety

Self-driving driving cars will change urban mobility significantly, but there are still challenges to overcome. One of them is demonstrating the safety of AI-based Automated Driving Systems (ADS).

The Reason Automated Vehicles are Highly Safety Critical

Vehicles with automated driving capabilities envision making driving safer, more comfortable, and more efficient by assisting the driver or taking responsibilities for different driving tasks. While vehicles with assistance and partial automation capabilities are already in series production, the ultimate goal is to introduce vehicles with fully automated driving capabilities.

An Architecture for Driving Automation

The vision of a self-driving car is transforming the automotive industry. The main obstacles in autonomous driving that must be tackled in the near future are assured safety without a supervising driver and the validation of the vehicle’s safe behavior in diverse traffic scenarios. Dealing effectively with these challenges in SAE level 4 automation requires a new architecture for autonomous driving.

“The Autonomous is a platform for open dialogue”

Autonomous mobility is set to change the future of driving. However, safety still proves to be the main concern and challenge for mass adoption. The whole autonomous mobility industry needs to come together in a serious effort to set common technical standards, processes and legislation to achieve the highest possible safety.