Accurate Perception - Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. 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.
Simulation - Baidu's Automatic Grading System tests via ten metrics: Collision detection, Traffic light recognition and logic, Speed limit, Detection of objects out of lane, End-of-route logic etc
HD Map and Localization - Their localization system is a comprehensive positioning solution with centimeter level accuracy based on GPS, IMU, HD map, and a variety of sensor inputs
Intelligent Control - The Apollo intelligent vehicle control and canbus-proxy modules are precise, broadly applicable and adaptive to different environments. The modules handle different road conditions, speeds, vehicle types and canbus protocols. Apollo provides waypoint following capability with a control accuracy of ~10 cm Request
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Baidu made several announcements about Apollo, its open-source autonomous vehicle technology platform, today at CES. First is, the launch of Apollo Enterprise for vehicles that will be put into mass production. Apollo Enterprise’s main product lines will include solutions for highway autonomous driving; autonomous valet parking; fully autonomous mini-buses; an intelligent map data service platform; and DuerOS (Baidu’s voice assistant) for cars. Baidu also released Apollo 3.5, the latest version of its platform, which now supports “complex urban and suburban driving environments.
Baidu plans to launch 100 robo-taxis that will cover 130 miles of city roads in Changsha, the capital city of Hunan province. The robo-taxis will use Baidu’s V2X (i.e. vehicle-to-everything) technology, to enable them to communicate with road infrastructure, like traffic lights