Introduction: The original concept of the autonomous driving concept is to help prevent human-induced traffic accidents, free people from mechanical driving time, and reduce carbon dioxide emissions.
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Beginning with the first car built by the German Karl Benz in 1886, countries around the world began to compete for the development of the automotive industry. From the earliest MT manual gear, to the current AT, CVT automatic gear; from simple mechanical operation to rich electronic equipment... The car is developing in an easier-to-use, safer and more environmentally friendly direction. The emergence of the concept of autonomous driving is to help prevent traffic accidents by changing the basic use of cars, free people from a lot of mechanical driving time, fully enjoy the freedom and fun of driving, and reduce carbon dioxide emissions.
Auto driving concept map
The ideal situation is to reduce traffic accidents.
According to the World Health Organization, there were approximately 1.3 million accidents worldwide in 2013 due to traffic accidents, resulting in more than 1.2 million deaths, and 95% of accidents were caused by humans. If you consider the number of deaths and injuries, this number may have to be expanded tenfold or even higher. People can make mistakes, how to reduce the human-induced traffic accidents through automatic driving technology?
“We recognize that safety is always paramount in future driving experiences. Through sensors and greater computing power, these unnecessary accidents can be recovered to a great extent, which can improve the overall driving environment and driving. "Safety measures." Andy Xu, director of market development at Intel's IoT Solutions and Products Division, Transportation Solutions Division, said: "With a level 1 warning system, 60% of car collisions can be avoided. With a second-level warning system, the chance of this collision can be reduced by 90%. Intel's ethnographers, anthropologists and engineers are currently working on various research projects to improve road safety, understand the safest and most intuitive. The interactive mode of people and cars provides guidance."
Automakers have begun to move – the Advanced Driver Assistance System (ADAS) as the first step towards the era of autonomous driving. In the future, with the speed of automatic driving technology change, the scope of application will be wider and the content will be more abundant. Although it seems that it is too early to realize the complete commercialization of autonomous driving, with the continuous innovation of automatic driving control systems and chips, the perfection of laws and regulations and related infrastructure, autonomous driving will usher in the next 20-30 years. Leap. At present, ADAS is rapidly developing at a performance improvement rate of 4 times every 2 years. Every technological innovation has made us further away from the ultimate goal of unmanned driving. The scenes in science fiction movies will also enter the homes of ordinary people. .
The reality is: in addition to technology, there are other problems
For that day, more and more traditional automakers are turning to technology companies to seek technical cooperation. The first thing they have to face is security. The most practical approach is to find a way from the roots of the system, to understand and judge the problems that may occur in such a driving system, and to develop a complete emergency plan for these possible problems. Once there is any problem with the autopilot system, another backup system can be taken over immediately, or you can switch to manual mode immediately.
Xu Weijie cited two examples: the first scene, in the city's high congestion environment, everyone is driving at a slower speed; the second is a fast driving scene, such as on the highway. For these two different scenarios, you need to set up specific operational indicators and dimensions. Once in these scenarios, the autopilot technology recognizes that some indicators have changed, beyond our limit, the driver will immediately receive a warning and automatically switch to the manual driving mode. Only by this method can we Better ensure safety during driverless driving.
Beyond technology, the industry also needs to work with traffic design planning to improve for autonomous driving. For example, how to make the auto-driving car detect the sign on snowy days, which requires the building and road reconstruction to be included in the map before being put into use, with the traffic police gesture to enable the self-driving car to recognize.
What is certain is that the future traffic design will develop towards intelligence and automation. Automated driving is restrictive for commercial use, such as the first use on the highway, until the technology is more mature, especially with the autonomous car, the road design will be redesigned, and finally fully automatic around the clock. drive.
Intel Autopilot Vehicle Solutions
In May of this year, Intel officially launched Intel's in-vehicle solution, including a series of computing modules, operating system software protocol stack, middleware and development kits. The technical highlights include quick start, in-car audio and video transmission network, etc. Manufacturers and their suppliers quickly and easily provide the driving experience consumers need while reducing product development costs.
Intel expects this standardized platform based on integrated and proven hardware and software to help reduce the development time of in-vehicle infotainment systems by more than a year and reduce development costs by up to 50%, so that automakers can More efficient allocation of engineering resources, focusing on technological innovation and improved driving experience. The first of these solutions is primarily for in-vehicle infotainment systems, and future products will be available for ADAS and driverless solutions.
Intel Automotive Solutions
A few years ago, Intel released similar car networking applications, but more is based on the automotive product line of chip release. This is Intel's first complete solution for the automotive market. It consists of a series of hardware and software products, which are designed to explore how to achieve a new driving experience through technical means, such as automatic identification of the owner's identity and driving. The adaptation of the passengers' habits can effectively reduce the driving burden and make travel more safe and convenient.
The new research project “Individualized Driving Experience†is used to understand the true thinking of consumers about driving, to explore the ideal driving experience, and to improve the car's adaptability, predictive ability, and its interaction with humans and the surrounding environment.
Cooperate with the car ecosystem
“This solution was developed in Intel's German Automotive Electronics R&D Center in two years.†Xu Weijie said, “We hope that it can speed up customer innovation while meeting customer product development needs.†2012 Intel has set up a $100 million Intel Capital Connected Car Fund to promote new technology development, accelerate the transformation of the automotive industry, and achieve seamless connectivity between automotive and consumer electronics. Achieve true driverless functionality in the future.
Demand from consumers is driving the restructuring of the supply chain, and automakers need to keep up with technological innovation. Intel has been working closely with automakers on various R&D projects. The current domestic and international automakers include Infiniti, BMW, Jaguar Land Rover, Toyota, Ford, Huatai, Hyundai, Geely and many more. Intel technology has been used in the Navigation System Professional for all BMW models, the InTouch infotainment system from the Infiniti Q50 and the driver assistance information system for the new 2015 Hyundai Genesis.
The industry has a specialization, Intel mainly considers the need for autonomous driving technology for microprocessors, vehicle-mounted chips and related algorithms, making microprocessors and SoCs more compatible with automatic driving systems. For example, through the current processor and chip, the data from the sensor is better processed, and the performance of the entire autonomous driving service is improved, which is more in line with the requirements of high computing and high logic capability systems.
As for how Intel will work with in-vehicle software vendors, big data providers, traditional car manufacturers, and startups focused on autonomous driving to research and promote autonomous driving technology, Xu Weijie said: "We hope to have existing microprocessors, including SoC, for more leading IT and automotive companies, they can also build their own driverless systems, or driverless cars, using our microprocessors and SoCs."
Balance between ideal and reality
For the driverless car to enter the commercial sector, safety performance is the most important, and it is also the most important for all research autopilot manufacturers. Technology companies are also investing heavily to ensure that commercial driverless cars are safe to use. But the current ADAS is completely different from fully automatic driving, so in addition to all the technical and regulatory obstacles that are expected, the biggest problem that autonomous vehicles will encounter, perhaps ourselves - we are deeply ingrained, And it is not unreasonable distrust. How to balance our idealized expectations for autonomous driving, and its true performance in reality? Perhaps it is a question that every one of us should think about.
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