Bringing partners such as BMW to Intel's unmanned driving laboratory to welcome the debut

(Original title: Pulling on BMW, Delphi and other partners, Intel Silicon Valley Unmanned Lab welcomes the debut)

Just two months after spending $15.3 billion for the acquisition of Mobileye, in San Jose, Calif., Intel pulled together BMW, Delphi and other partners to unveil the latest unmanned driving laboratory in Silicon Valley.

According to the plan, this unmanned laboratory in Silicon Valley will join Intel's other laboratories in Arizona, Germany and Oregon. Their purpose is to explore and better understand driverless cars and future traffic. Various requirements, including sensing, on-board computing, artificial intelligence, interconnection, and supporting cloud technologies and services.

The debut of Intel’s Silicon Valley unmanned laboratory, in addition to demonstrating its ability to drive in the unmanned area, was the loudest since the establishment of the driverless business unit in November last year.

At the driverless seminar held during the same period, the heads of Intel's business units related to this business all attended the event, revealing Intel's layout and ambition throughout the entire driverless industry chain.

1, on the latest progress in the acquisition of Mobileye

Two months ago, Intel’s acquisition of Mobileye, an ADAS leader, (see Titanium’s “15.3 Billion Dollars! Intel Confirmation to Acquire Mobileye”) was considered by the industry to be Intel’s determination to drive without driver, but so far it’s about acquisitions. On one hand, Dai Junsen, general manager of Intel’s driverless business division, did not disclose too much detail, and the two teams should also be in the integration phase.

Although he did not directly answer the question about Mobileye, but Dai Junsen also said, "Intel has been optimizing the computer vision in unmanned vehicles. It is very important that major OEMs have their own needs for the environment around the rover. There are The camera will be used for meetings, others will prefer radar, lidar, etc. What we need to do is to provide the best solution possible according to their needs.”

Judging from the solutions presented so far, Intel in the driverless era provided more than just an operating system. We can understand it as an end-to-end solution, and cooperate with partners of different technical levels. The unmanned industrialization process strives for more time.

2. Widely establish cooperation in the industrial chain

The cooperation between Intel and BMW and Mobileye is also based on this model: Intel’s platform is used by BMW’s vehicles. This platform includes computing power, data processing capabilities and transmission capabilities. The data collected by BMW in actual testing will be fed back to Intel’s use. To further improve the driverless platform, so as to benefit more OEMs and accelerate the deployment of driverless cars.

At the scene, Intel demonstrated one of the first 40 highly automated driving (HAD) cars.

Intel and BMW unmanned vehicles

“Like that in the past 20 or 30 years, there has been rapid development in computing. There are Common Building Blocks (CBB) in the industry, and many and many developers can join in. This will accelerate innovation and improve The solution saves costs,” said Dai Junsen, general manager of Intel’s driverless division, in an interview with the media.

In addition to BMW, Intel also demonstrated stage results with many other partners in the debut of the Silicon Valley drone lab, such as the Audi SQ5 converted from Delphi and covered with various sensors. Self-driving car.

Intel driverless car with Delphi

During the Shanghai auto show that had just recently concluded, the titanium media reporter took a deep test ride to experience the driverless car that Intel and Delphi had collaborated with. (See Titanium's media coverage of Delphi’s China debut for autopilot. This may be the earliest mass production. "Autonomous Driving Technology Solutions"), which can already successfully conduct open road L4 autopilot testing.

Mercedes-Benz driverless test vehicle uses Intel technology

It can be seen that Intel is looking for various potential partners in the driverless area. "In fact, the autopilot vehicles that are currently on the road test have all used Intel's technology. It may just be undisclosed. The areas we work with may not only target consumers, but they will use all aspects of driverlessness." Jack Weast, senior principal engineer and chief systems architect for driving solutions, said.

What does 3G and 5G mean for driverless driving?

The most interesting part of driverless cars is the interconnection of vehicles and the interconnection of the cloud. The most important part of this is the data transmission. The driverless car produces huge amounts of data through 5G transmission in the future. Intel regards it as autonomous driving. One of the most dependent technologies for commercialization.

What role does 5G play in the entire driverless market? Robert Topol, general manager of 5G business and technology at Intel's Communications and Equipment Group, believes that "5G can be a bridge between machines."

"5G is not a few gigabits more than 2G and 3G. It is far more than that. It can not only make broadband and connections faster, but also greatly reduce the delay time. 5G is particularly applicable in areas where driverless cars are A good example is that for security reasons, the response must be very rapid. It requires not only the interconnection between machines, but also the interconnection with the infrastructure on the road." Robert Topol, general manager of 5G business and technology at Intel's Communications and Devices Division, said in an interview.

In the future, the car will be able to interconnect with all infrastructures, interconnect with pedestrians, and get the data of the surrounding environment to ensure safety. The reason why Intel focuses on 5G is because 5G is the basis for the above scenarios.

4, computing platform and data processing

Lidars used in driverless cars

Driverless cars drive on the road, capturing a series of messages through cameras, laser radar, and other sensors. Intel expects to generate about 4TB of data every 90 minutes. Most of these data will be processed, screened, and analyzed within the car, while other valuable data will be transferred to the data center for updating maps, enhancing data models, and more.

Data is the most important factor in unmanned driving - how to maximize the ability to process, manage, move, store, and share data, putting new demands on computing and processing capabilities.

To this end, Intel has deployed the first few dedicated data centers for unmanned vehicles. These unique laboratories are used for algorithm development and training, as well as for understanding the special infrastructure requirements for the movement and storage of driverless data.

Researchers will continue to provide information from Intel's test cars to these data centers to train neural networks and improve machine learning algorithms. In the process, Nervana, another company previously acquired by Intel and focused on deep learning neural networks, will also play a significant role after being integrated into the Intel Artificial Intelligence Division.

In the current unmanned field, Intel should be the only company in the industry that can provide end-to-end solutions, including the in-vehicle computing platform, 5G, cloud and data center. It covers the basic technologies of unmanned and The ability to draw driving paths and make driving decisions.

From a single technology to a complete solution, Intel's layout in the driverless area is all-embracing. Like the PC era, the Intel is doing the same thing for the driverless cars on the road ahead. s Mark.

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