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market automatic driving level. However, although L3 is only one level from L2, the computational needs involved are vastly different. L2 and L3 on the vehicle's automatic control ability, although not far away, but L3 allows automatic driving under limited conditions, and it needs to be able to judge the vast majority of the car's surrounding lanes, and at the same time replace the driver to make the various decisions in progress, and the decision-making process requires extremely large comput

unmanned vehicle production. All of the unmanned vehicle elements are already in place, so long as the software development is completed and the regulatory environment is mature, mass production can be achieved. So it's impossible to be General Motors. Look at the BMW again. July 2016, BMW, Intel and Mobileye announced cooperation, the first disclosure of the progress of unmanned driving projects. At the CES conference in January 2017, BMW, Intel

problem that is currently difficult to solve. Tesla events Attention to Tesla's classmates should have noticed that last year, a 23-year-old Chinese young man, in driving Tesla electric car along the Beijing-Macau Expressway, Hebei Handan section of the road, the vehicle in front of the obstacle, the man dodge not to hit the road sweeper, a serious car accident caused death. Tesla officials have not disclosed their internal algorithms, and we only know that Autopolit has the technology provided

radar, and the first 4-line lidar, which can be produced to meet the requirements of the vehicle. In addition, there is a central driving auxiliary control system (ZFAS), zFAS by Audi and Delphi, Nvidia, TTTech, mobileye cooperation, with the NVIDIA GPU, Mobileye EyeQ series of visual chips, as well as communication module, is the A8 computing hub. Audi A8 is more advanced than autopilot or Super cruise.

teenagers have become so??After he thoroughly understand the cutting-edge AI technology, he decided to return to Silicon Valley. This January, came to an artificial intelligence start-up company, where he first came from academia, into the field of artificial intelligence.Felt there was no way to put his ideas into reality, and this July, he decided to leave. Have a friend, introduced him to Tesla and SpaceX's eldest brother Musk there.At Tesla's factory, he talked to Musk about the problems of

recognition of targets and regions in images. The data labeled in these tasks are relatively rich, such as traffic sign recognition, biological images, especially connectomics segmentation, and the detection of human faces, characters and pedestrians in natural images. One of the major successful practices of recent convnets is face recognition. Importantly, images can be labeled at pixel level, which will have technical applications, including automatic mobile robots and self-driving cars. Bot

market can not completely bypass the problem of the single eye solution, in the second stage, you still need a large database, still need to polish the algorithm. Single Binocular Comparison In addition to the single binocular, there are many cameras made up of the platform. In some scenarios, a telephoto and wide-angle camera is used in conjunction with the Adas main camera, taking into account the surrounding environment and the distant object detection. For example, the

Learn about Linux, please refer to the book "Linux should Learn" As cars become more intelligent and unmanned, have you ever wondered if open source software and cars can be connected? According to open source news this week, BMW will join forces with Intel and Mobileeye to develop driverless cars with open source content management systems, among others.BMW Team develops open source automation technology in collaboration with Mobileye