Everyone on the autopilot race is rushing to the top. Whether the depot or the tech giant has planned their own roadmap, who is leading the race? Recently, the US research company NavigantResearch released the list of autopilot technology in 2018. After comprehensively considering ten quantitative standards, many players were classified as “Leaders, competitors, challengers and chasers†in four categories, BMW. - Intel-FCA landing first tier - leader. It can be said that since Intel acquired Mobileye in August 2017, the two parties have actively integrated and frequently deployed in the industry, continuing to consolidate the status of industry leaders. At the recent CES, Intel-Mobileye's automatic driving of heavy technology and products was the latest example. REM: Massive crowdsourcing data, automatic updates in real time In 2018, there will be 2 million vehicles equipped with Road Network Acquisition Management (REM®), including BMW, Nissan, and Volkswagen. Compared with the traditional way, Mobileye's REM products can provide more accurate positioning for self-driving cars. Prof. Ammon Shashua, CEO of Intel’s Mobileye CEO, mentioned in the press conference that the road network acquisition management is divided into three phases: collection, aggregation, and positioning. During the collection phase, the data is mainly used for crowdsourced data, such as road signs and lane lines. Compression, which can reduce costs and reduce the bandwidth required to upload data, cars only need about 10KB per kilometer; then, in the aggregation phase, all the data will be aggregated in the cloud to form a road book (RoodBookTM); eventually, the road book The road and lane boundaries and fixed road signs are used as reference points for positioning, and accuracy is guaranteed within 10cm, making driving decisions more accurate. It is worth mentioning that REM can be installed in the EyeQ chip of the front camera of the car. The front camera on the ADAS vehicle is both an intelligent agent and can also be used to collect dynamic data. During CES, MobileyeAftermarket also announced the deployment of Mobileye8 ConnectTM on thousands of vehicles. At the beginning of this year, a fleet equipped with this new aftermarket collision avoidance system will collect information on city streets and infrastructure in order to produce high-precision maps through REM, which will be the key to fully automated driving. At present, there are already a large number of cars equipped with Mobileye's ADAS system, so that they can make real-time updates and data diversification these two powerful weapons to tell the self-driving car, "Where am I, where do I go?" Integrated Solution: Supercomputing and Low Power Consumption At this CES, Intel and Mobileye released a new integrated platform equipped with two EyeQ5 system chips, an Intel Atom® C3xx4 processor, and Mobileye software, which greatly realizes powerful computing power and low power. The balance between consumption. Not long ago, a set of comparative data released by Intel showed that the depth learning performance of Mobileye®EyeQ5TM is 2.4 times that of competitors' products. In this regard, Professor Ammon Shashua made further explanations in an interview with the media. He said that achieving automated driving requires efficient computing capabilities to support system operation. For the vehicle, every chip can not be ignored, especially the L4/L5 automatic car. From the point of view of development trends, electric vehicles will be popular in the future, then most of the electricity stored in the battery should be used for the vehicle's driving, rather than all the chips for the operation. Intel and Mobileye's products can control power consumption to a very low extent because at the beginning of the design, both parties are committed to achieving low power consumption and high efficiency, and the lower the power consumption, the lower the cost. More importantly, Intel and Mobileye are committed to enabling the technology to bring social and economic benefits at this stage, and to expand in the future, rather than developing technologies that are useless until L5 autonomous driving can be implemented. Therefore, the reasonable price and large-scale expansion of the autopilot system are also important considerations in the research and development stage. As a leading company in the technology industry, Intel and its subsidiary Mobileye have deeply integrated the advantages of both parties, achieving the perfect combination of "brain" and "eye". It is these powerful technical strengths and advanced development concepts that give people reason to believe that Intel and its subsidiary Mobileye are driving the early arrival of automatic driving.
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