Teaching a car to anticipate a pedestrian suddenly stepping onto the roadway remains the hardest thing to do.
Are autonomy features like Autopilot and Smart Summon "wolves in sheep's clothing"? Tesla is pushing Level 4 autonomy into the body of Level 2 vehicles, while disclaiming responsibility.
Bosch, Continental, Denso, GM, Nvidia, NXP, and Toyota declared their support for the new consortium.
Humans drivers are expected to be mature enough to anticipate what might happen on the road next. What expectations should we have of drivers who are not human?
NXP launched a deep learning toolkit called eIQ Auto. NXP is seeking to set itself apart from competitors by making its tool "automotive-quality." NXP's goal is to make it easier for AV designers to implement deep learning in vehicles.
When a panel of experts at SAE China's AV conference were asked "which data or lessons are you willing to share with other automakers?" The question induced a long uncomfortable pause.
DeepScale argues AI chips and sensor systems should come with DNNs optimized for the application. It will fundamentally change how companies buy AI technology.