Mobileye will work with STMicroelectronics to develop the next generation of EyeQ5 chips that will be used for autonomous driving. Although the news was mentioned in a conference call, engineering samples could only be provided in 2018. After the final product is finished, it is likely to be different from the present, but from this chip, as well as other recent actions of Mobileye, See some of Autoye's autopilot layouts.
About Mobileye's route planning for autonomous driving, at the CES in Las Vegas, its founder and CTO Amnon Shashua made a detailed introduction and interpretation for the first time. In an hour of speech, Shashua focused on the high-precision maps needed for autonomous driving and the decision-making of the vehicle. After publishing at CES, it has already cooperated with GM and Volkswagen on the data collection of Roadbook. In February, it said that it has reached a cooperation agreement with Nissan.
From a point of view, although there are some doubts about when this product will be unveiled, at least from the time point announced by Mobileye, EyeQ5 is likely to play a very strong role in the system-level solution provided by Mobileye in 2019. Important role. If the progress is smooth, EyeQ5 can provide engineering samples in the first half of 2018, and supply the vehicle enterprises to test and adjust. In the second half of the year, the first batch of applications and SDKs can be provided. It is possible to use the car in 2019. Moreover, the message did not mention how this program is specifically applied. In general, this program will definitely be tested on the prototype. If it is used directly on the production model, it can only be explained that the test has been quietly completed before. So, what else does Mobileye do in addition to EyeQ5?
In fact, as early as in the speech of CES, Shashua mentioned that there are three aspects to the realization of autonomous driving: perception, map and driving strategy. Adding these three aspects together, Mobileye wants to provide for autonomous driving. s answer. Specifically, how to do these three aspects, let us look at one by one.
The importance of the perception link
Mobileye, which started with a camera, the importance of environmental awareness is self-evident. At the CES meeting, Shashua focused on the map, talking about driving strategies, and not mentioning perception. At a meeting in Goldman Sachs in mid-April, Shashua focused on what Mobileye was trying to do in a half-hour speech. In the speech, Shashua mentioned that the role of perception is mainly in four aspects:
1. Identify moving/fixed objects on the road
2. Identify road dividing lines and other traffic signs
3. When there is no dividing line on the road or the dividing line is not clear, distinguish the space that can pass, and outline the isolation line that can pass through the space and other parts.
4. Driving path: After identifying the space that can be used, find a route that can be driven.
In fact, if you look at these four functions, it is basically the role of the human eye and the image processing in the brain. In general, it is to see what is around and then know how to drive. The first two are relatively simple to implement, the difficulty is how to ensure accuracy and real-time, and the latter two are the most important, but also difficult. It is relatively simple to realize automatic driving on roads with clear lanes and clear roads, but it is not uncommon for the road itself to lack lane lines, not only at home but also abroad. Before the roads all meet the requirements of autonomous driving, automatic driving depends on the intelligence of the system. The focus of Mobileye's deep learning algorithm in the next period is also here.
In Mobileye's plan, to do this, you need 8 cameras. Because in the safe and automatic driving state, the vehicle needs to be able to see things in the 360° environment, especially in the urban area, the surrounding environment is quite complicated, there can be no busy points, so there must be a camera for monitoring at every angle. However, Shashua also said that it does not mean that the eight cameras can give the vehicle a fully automatic driving function, but that the vehicle must be driven at least with such a sensor system. Since the start of the camera, the various ADAS functions that have been mass-produced are also based on camera products. Therefore, in the inherent cognition, when it comes to Mobileye and perception, the idea is the camera, but it does not mean that in Mobileye's solution, No other types of sensors will be used.
In this speech, Shashua explicitly mentioned that the sensing link needs to have a redundant design, and at different levels, the required redundancy design is different. When detecting other objects, the required redundancy is Lidar and millimeter-wave radar; in lane recognition, high-precision maps are needed, and sometimes lidar is required; in the final driving path, high-precision maps are also required. . In March last year, Mobileye and Valeo reached a cooperation agreement. In addition to jointly developing driver assistance technology, the two also established an exclusive partnership to combine Valeo's laser scanning technology with Mobileye's image processing technology. Develop vision and laser scanning technology and apply new technologies to self-driving cars. Although Mobileye does not have a laser radar or millimeter wave radar product by itself, this does not hinder him. He has found a partner for himself. From this perspective, the EyeQ5 chip supports a variety of sensors, and has sensor fusion technology, which is also well understood.
ADAS and future unmanned vehicles, smart car sensor module solutions, intelligent BMS car and look around 360 technical application solutions venue [third-China Smart Car Technology & Application Forum]
The figure below ↓ conference details jab jump 
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