eMCOS

Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.

The Qualcomm® Snapdragon Ride™ Platform is one of the automotive industry’s most advanced, scalable and fully customizable automated driving platforms. It will facilitate automotive suppliers and automakers flexibility to deploy the safety, convenience and autonomous driving features in demand today--with the ability to scale in the future. Reliable, extreme, auto-ready performance at low power with more simplicity and higher automotive safety. And unlike other autonomous driving solutions that require liquid cooling, the Snapdragon Ride Platform is passive or air-cooled. Our comprehensive customizable platform features multi-ECU aggregation, allowing it to easily scale from Active safety to Convenience to full Self-Driving across a wider range of vehicles. In addition to our high-performance, energy-efficient hardware, the new Snapdragon Ride Autonomous Stack combines with the hardware to provide one of the most robust vehicle perception and driving brains available.