Recently, Intel announced the establishment of the Intel Intelligent Network University Automotive University Cooperation Research Center, signed a cooperation agreement with the Institute of Automation of Tsinghua University and the Chinese Academy of Sciences to jointly promote research on autonomous vehicles. Michael Mayberry, Intel’s CTO and president of the Intel Research Institute, had five exciting Q&As on this event.
With the integration of artificial intelligence, 5G communications and emerging technologies, and the automotive industry, as one of the world's largest automotive markets, China is promoting the development of autonomous driving from macroeconomic policies, standard setting, and technology research and development, as a global vehicle for nine consecutive years. The country with the highest sales volume will most likely become the largest market for automated driving in the future, and it will also attract the attention and cooperation of the global technology giants.
Recently, Intel announced the establishment of Intel Intelligent Network University Automotive Research Center (ICRI-IACV), signed a cooperation agreement with the Institute of Automation of Tsinghua University and the Chinese Academy of Sciences to jointly promote research on autonomous vehicles. At the press conference, not only did Jack Weast, senior chief engineer of Intel's driverless solutions, elaborate on the Responsibility Sensitive Safety (RSS) security model proposed by Mobileye, Intel CTO and Dean of Intel Research Institute May Mayberry even went from artificial intelligence to neuroimaging. Computing, probability calculations, quantum computing, and other aspects of Intel's ongoing innovation and subversion.
Intel signed cooperation agreements with Tsinghua University and Chinese Academy of Sciences Automation Research to promote the joint innovation of automatic driving in China.
Five wonderful questions for quantum computing in the future
“The whole world, the two revolutions of artificial intelligence and 5G have historically converged, and China is precisely where this application can provide many application scenarios, and will also accelerate the breakthrough and landing of intelligent networking and automated driving.†Song Jiqiang, director of Intel China Research Institute, said at the opening. "In this direction, there will be many unknown areas that we need to explore. Forward-looking research is also very important."
Director of Intel China Research Institute Song Jiqiang
At this event, Intel’s senior vice president, chief technology officer and director of the Intel Research Institute, Michael Mayberry, made several wonderful answers to the research on key forward-looking fields—quantum computing. This is also the “quantum egg†for this event. Now.
Quantum Computing Commercialization Logo
At present, Intel has implemented quantum quantification for 49 qubits, but in the commercialization of quantum computing, Michael Mayberry believes that when it comes to material simulation and decryption algorithms that cannot be solved by current computers, it can be called the commercial era of quantum computing. The logo, which is analogous to the calculation of atoms in an analog molecule, requires the realization of millions of qubits. Michael Mayberry also explained the quantum computation's own promotion of quantum computing - quantum computation of room temperature superconducting materials, in fact, one of the requirements of quantum computing for materials.
Quantum computing commercialization: 10 years? 5 years?
Michael Mayberry said that Intel believes that the commercialization of quantum computing will come in the next 10 years. This is not the same as the five-year forecast of one of the giants of quantum computing. In this regard, Michael Mayberry explained that Intel believes that quantum computing has not been able to make substantial contributions to material simulation and decryption algorithms within five years.
The Game between Quantum Computing and Traditional Computing
One of the advantages of quantum computing lies in the cracking of long-bit encryption keys. Michael Mayberry said that one of the current efforts of the algorithm community is to study the encryption algorithms in the post-quantum era, that is, algorithms that cannot be deciphered by quantum computing.
The more qubits the better?
The fundamental of quantum computing is quantum entanglement, and the calculation needs to enter the quantum one by one into the entangled state, and the steady-state time of the quantum entanglement of multiple qubits is guaranteed, and further more operations are still needed to be solved. Michael Mayberry said that due to this problem, the lifetime of the current system of quantum computing is not the same as the lifetime of a single qubit, and it can only perform hundreds of operations, which is far from enough.
There are several levels of quantum computing?
In addition to the system life cycle and the life cycle of the qubits, Michael Mayberry believes that there are still 3 levels to be overcome in quantum computing.
Local qubit control instead of current remote control using long cables
Qubits routing setup, algorithm implementation available
The connection between qubits, how to connect potentially thousands of qubits
Intel Senior Vice President, Chief Technology Officer and Dean of Intel Research Institute Michael Mayberry
Security is in power! From the policy, platform framework to the way the industry landed
In October 2017, the National Development and Reform Commission drafted the "Intelligent Automobile Innovation Development Strategy." According to this strategic vision, by 2020, the framework of technological innovation, industrial ecology, road network facilities, regulatory standards, product supervision, and information security system framework for China's standard smart cars will basically be formed. To achieve this goal, on the one hand, breakthroughs must be made in smart automotive systems and components, onboard intelligent operating systems and computing platforms, 5G networks and telematics, artificial intelligence, big data, and cloud computing; The demand for the development of smart cars, the improvement of laws and regulations, and the study of the applicability of the provisions.
It is crucial to promote the application breakthrough of intelligent network-linked vehicles and establish the trust of passengers. If the passengers do not trust, automatic driving is difficult. The basis of trust is safety. The basis of safety is to have a comprehensive and full understanding and application of these data.
Prof. Li Keqiang, Professor of Automotive Engineering Department of Tsinghua University and Director of Expert Committee of China Intelligent Network Alliance Automotive Industry Innovation Alliance
In the context of a structural interpretation of China's intelligent connected car industry, Li Keqiang, professor of automotive engineering at Tsinghua University, one of the "elders" in the field of automated driving in China, stated that it will conduct specific collaborative research in the following three areas:
Calibration method for practical use of traffic safety areas and application of safety assessment
Based on multi-vehicle organization and collaboration in V2X, using communication topology to recombine, making use of communication methods to build cross-road collision model, and avoiding conflicting geometric configuration
V2X applications in non-ideal communication environments, information quantization and truncation methods for car networking applications, including how the controller is designed if the network is not reliable
“Intelligent Connected Vehicles is one of the key directions leading the transformation and upgrading of China’s auto industry, and is an important carrier for emerging technologies such as artificial intelligence. The automotive sector is at a transitional stage of change. This revolution is a cross-border one and is based on a new generation. Mobile Internet, ICT technology and automotive integration will bring new architectures, new product product forms, and even the appearance of future traffic patterns, which is a critical period of change, including British-based 5G-based modules, cloud-based technologies, FPGAs, and Mobileye Intel. There is a very strong foundation in the field of automated driving. We believe that in the future we can use the Intel technology to conduct joint research based on the previous three issues,†said Li Keqiang.
"The traffic death rate in China is almost four times that of European countries and twice that of the United States. The safety problems posed by such a big market are still the most severe challenges. No matter what kind of driving is the most important thing, it is safety." China Smart Car Future Challenge IVFC organizer and “referee†Director of the State Key Laboratory of Complex Systems Management and Control, and Vice Chairman and Secretary-General of China Institute of Automation Wang Feiyue also placed safety issues at the top of the list.
Director of State Key Laboratory of Complex Systems Management and Control, Vice Chairman and Secretary-General of China Institute of Automation Wang Feiyue
"With the rapid development of new technologies such as artificial intelligence, big data, and mobile Internet, intelligent connected cars are entering a new era of accelerated development. The research of connected cars faces enormous engineering complexity and social complexity, while opening up and cooperation. It is the only way to promote the development of automatic driving and even the entire intelligent eco-industry.With this cooperation, we believe that our research results in the field of parallel driving, parallel intelligent systems, etc., combined with Intel’s accumulated technology in the field of automated driving, will help autopilot. China's landing.†Like Prof. Li Keqiang, Professor Wang Feiyue’s enormous opportunities and challenges for autonomous driving are more precisely based on the premise of safety, the way from the policy and platform framework to the industrial ecology, and the future. The thinking and action of the change in the mode of transportation are almost identical.
This time, Intel's Intelligent Network University Automotive University Cooperation Research Center will aim at five major topics, covering self-driving cars, car networking technology, and large-scale intelligent infrastructure supporting autonomous driving; targeting unique cultural, traffic, and geography in China and the Asia Pacific region. Features to deal with the unique challenges that auto-driving cars face when they are widely used and deployed. Specific research directions include:
Self-driving car safety;
Automated man-machine interface and challenges brought by new supporting laws and regulations;
Open data sets and benchmarks
Research on C-V2X, mobile edge computing, smart transportation, and smart infrastructure based on cellular wireless networks;
Research on advanced algorithms based on new hardware devices and architectures such as Intel 3D Xpoint.
RSS Responsibility Sensitive Security Model - "Safe" Machine Rules for Autopilot
As a "fist" in the field of Intel's automatic driving, Mobileye also participated in this cooperation ceremony. The company occupies 80% of the ADAS (Advanced Driver Assistance Systems) market. This technology can achieve automatic braking and lane keeping through the collection of monocular cameras, SOC and computer vision algorithms. Mobileye and BMW, Audi and other different cars The combination of manufacturers is implementing L2 to L4 automatic driving solutions. It is also on this basis that Intel spent $15.3 billion to acquire this Israeli company in March 2017.
Many auto-pilot companies claim to have achieved hundreds of thousands of kilometers of safe driving when they claim their achievements. At the bottom, autopilot technology—especially for high-density computing, data, and sensors, Mobileye hopes to have more. The "wisdom" approach forms a new security model.
The RSS Responsibility Sensitive Safety Model is a solution that was combined by Formal and Mathematical Model proposed by Mobileye in October last year. Through mathematics, it forms the “absolute†security status of self-driving cars, making it a real one. Crisis-handling systems allow auto-driving cars to prove their ability to avoid danger and prevent accidents in all kinds of dangerous situations.
Jack Weast, chief engineer and chief systems architect for Intel's driverless solutions, introduced the RS-responsible security model in a series of complex road conditions. RSS clearly defines what is safe driving and what is reckless driving. For human drivers, the interpretation of collisions and other accident responsibilities is not static. Driver's mistakes are based on incomplete information and various factors after the incident.
Jack Weast, Principal Engineer and Chief Systems Architect, Intel Driver Solutions
For machines, these definitions can be formal and precise. The machine has a highly accurate information of the surrounding environment. The machine knows its reaction time and the level of mechanical brakes, and it will never be distracted, distracted or disturbed. With automatic driving technology that combines RSS, we do not need to explain its behavior afterwards. Instead, we can program the machine to follow an established pattern.
Security distance equation in RSS model
The core of the RSS model, in fact, is to form a digital approach to the driving difficulties currently faced by human society, and put it in equations to allow the autonomous vehicle system to understand, while maintaining a transparent disclosure to humans.
For example, safety distances and safety distances for parallel and overtaking; which vehicles are overtaking and should be kept at a safe distance; how to integrate road rights into the model; how to define safe driving with limited induction, such as the first second of the sensor When a person or object is seen and the person is obstructed in the next second, the autopilot system does not brake or accelerate, but passes the sensor information for the next second or predicts the movement of the person or object. Then perform the corresponding action. Similarly, even including, the RSS model will even avoid the tragedies of other traffic participants caused by “small and cheap†in human society, such as “stopping†in high-speed, dense lanes, causing the rear vehicles to crash into other lanes. The "butterfly effect" tragedy...
Through Jack Weast's introduction, Xinzhiyuan feels that such an "active" RSS system is not only a possible digital driving model of artificial driving, but an innovative model that may truly allow self-driving cars to operate in accordance with the highest safety standards. By judging and avoiding the regularization of judgments, responsibilities, and faults, it becomes possible for the automated driving industry to form a universal landing. Therefore, in a certain sense, automatic driving based on hardware is avoided, which is not only costly but also becomes a toy for a small number of people. Furthermore, it is possible to avoid the unpredictable and high social cost of landing autonomous vehicles because of a single judgment from the perspective of the machine.
Regarding the issue of how this new collaborative research product will be presented, Song Jiqiang, director of the Intel China Research Institute, said, “Some of the research results are published in the form of papers, some will be patented, and some will be experimental prototype results. For example, Mobileye's security results will be shared in different enterprise platforms. There will also be data sets that can be used by schools and enterprises to solve problems that they cannot resolve through long-term statistical measurements."
The scientific research field also confirms Mobileye's RSS model. Professor Wang Feiyue said, “We can build an open source platform and use artificial scenes combined with RSS to shorten test time.†Prof. Li Keqiang said, “We first proposed the automobile driving safety field in the world like this. A quantitative description, hoping to cooperate with Intel, and finally be able to truly come out under the conditions of China's complex situation, and be able to make substantial reserves for industrialization."
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