Fast, reliable, and, above all, secure communications are essential for highly automated driving. Cybersecurity should be designed into the complete life cycle of both the components and the entire vehicle. In-vehicle software will need to be updated to immediately correct problems as they arise. Data used for highly automated driving need to accurately match conditions as they are experienced by drivers. Over-the-air updating must be performed without threat of security breaches. This session will present and discuss how full risk assessment should be performed, how end-to-end testing should be addressed, and how security breaches can be detected to mitigate the damage caused by cybersecurity attacks.

 

Moderator: Michael L. Sena, Consulting AB​ [ Biography ]

Driver assistance systems, such as lane keeping, adaptive cruise control, collision warning, and blind spot warning, have gradually moved from optional to standard features on most high-end vehicles. They are now making their way to all vehicle models. As automated systems assume more and more of the driver burden and take over increasing amounts of responsibility for the driving task, they require both more data and more processing power to augment the decisions that human drivers have made on their own. Sensors will take the place of human senses and artificial intelligence, it is thought, will substitute for human intelligence. This session will gather global experts on the subject to discuss their views on the progress and the prospects for vehicles that drive themselves. Where is this transition today and what progress will need to be made in the coming years in order to deliver on the expectations for driverless vehicles?