The key technology behind the spy on the autopilot innovation boom

What are the key drivers driving this new mobile revolution in the coming decades? Recently, several well-known veteran car CEOs have talked about the future technology of autonomous driving. We can get a glimpse of the autopilot in the eyes of car manufacturers.

Many old car companies have now adopted autonomous driving as the core of strategic layout, because autonomous driving will undoubtedly be the greatest mobile travel revolution since the birth of the car 130 years ago.

So what will be the key drivers driving this new mobile revolution in the coming decades? Recently, several well-known veteran car CEOs have talked about the future technology of autonomous driving. We can get a glimpse of the autopilot in the eyes of car manufacturers.

Recently, Audi's new generation flagship sedan A8 was officially born. In addition to the iconic lights and interior design, the A8 has become the world's first production car to achieve Level 3 autopilot.

In an interview with the media, Audi CEO Rupert Stadler focused on the future of the Audi Autopilot Piloted Driving, the importance of high-precision maps and the security management of customer data. He specifically mentioned that the high-precision map is revolutionary for Audi to develop autonomous driving and related services.

The head of another veteran car company also holds a close view. Dieter Zetsche, Chairman of Daimler's Board of Directors and President of Mercedes-Benz, personally wrote an article about autopilot in his eyes a few months ago. He mainly talked about the significance of the 3D high-precision map. He even thought that this technology "represented The future of autonomous driving."

A series of industry, technology, and ecological changes and innovations around the hot-selling hotspots have just begun, and will continue to push industries and technologies to break through existing boundaries.

Delphi guest expert Manu Namboodiri believes that the current autonomous driving is bringing innovation climax. Because connected and autonomous vehicles are not just a combination of new technologies, they are driving the development, investment and innovation of these technologies and expanding their boundaries. Internet of Things, 3D high-precision maps, computer vision, massive data management, edge analysis, artificial intelligence, cloud computing, etc. will all be catalysts for the continuous development of autonomous vehicles. At the same time, future cars will undoubtedly be these frontiers. One of the most broad and important application scenarios of technology.

Car dealer "old driver": 3D high-precision map is the beginning of the car revolution

Among the many technologies that have driven this new mobile revolution, 3D maps are seen as a vital function by the car's “old driver”.

Dieter Zetsche, chairman of Daimler's board of directors and president of Mercedes-Benz, even believes that for autonomous vehicles, "the next epoch-making feature is 3D map data, which will be a key driver in the next mobile revolution. "and this will affect everyone.

Dieter Zetsche specifically pointed out that 3D maps will provide supplementary information for vehicle sensors and cameras, and have great potential for enhancing safety and convenience. It will become an indispensable part of future autonomous vehicles. “For a fully-automated car, the map must be extremely accurate and up-to-date. Imagine if we could have countless map sources, each car could collect data on the road and share it with other vehicles in real time, driving the car automatically. What would it look like?"

Audi CEO Rupert Stadler also values ​​the role of the map. He believes that real-time maps and location-based services will lay a solid foundation for future travel, as it will enhance road safety while creating opportunities for the development of other travel services.

This is not difficult to explain why Audi, BMW and Daimler jointly bought the map service provider HERE. In addition, Rupert Stadler also mentioned that the public purchase of HERE by Audi, BMW and Daimler also guarantees that it will always be an independent and open value map database.

"With it, Audi can guarantee the development of important technologies in the future. HERE allows us to hold the throat of fate in competition with technology giants," Rupert Stadler said.

In the eyes of car companies, the importance of high-precision maps for the future development of autonomous driving is evident.

A few days ago, Hyundai Motor also announced that it is working with the South Korean government to plan to use its self-driving cars at the Winter Olympics. The high-precision map will be standard. Hyundai hopes to rely on high-precision digital maps to counter the effects of weather on some sensors and ensure the normal running of the car. Due to the snowy and tortuous roads, Pyeongchang's climate topography is very challenging for autonomous vehicles. The manufacturer claims that its map error is less than 10 cm, which is the "best in the world" graphics.

It should be pointed out that the map required for autonomous driving is very different from the traditional road map. It will emphasize the three-dimensional model and accuracy of the space. The new data foundation required must reduce the accuracy from m to cm. Every feature and condition on the road surface must be displayed very accurately. At the same time, real-time updates must be made using anonymous data on the vehicle to help the vehicle know all aspects of traffic, weather and accidents.

Car companies believe that 3D high-precision maps will be a key driver for the new round of auto revolution, but this is only the beginning. For autonomous driving, it is a more complex combination of new technologies. This is a comprehensive project, and it is promoting the development, innovation, and investment of various technologies, and constantly breaking through existing boundaries. Delphi guest expert Manu Namboodiri recently summed up the TOP 11 list of new technologies he considers to be "super catalysts for autonomous driving innovation".

Among them, the first is the Internet of Things technology. Self-driving cars carry hundreds of sensors that transform the physical world around the vehicle into digital signals. The complexity of autonomous vehicle sensors has made it the most powerful IoT product in history. In the future, with the increasing function of autonomous vehicles, more IoT solutions and platforms from other fields will be integrated.

Followed by the data. Including massive data management, edge analysis. Today, cars are becoming the largest source of data in human history, and data generated by devices such as autopilot systems and sensors can easily break through the terabytes, and these data must be processed and transformed quickly. Innovations in data management, databases, data flow analysis, security, data comparison, distributed computing, and loan management are therefore urgent. The importance of edge analysis is that future autonomous vehicles may produce several GB of data per second and make thousands of judgments. If the vehicle cannot complete the processing of some data independently, it will The data is sent to the cloud and waiting for feedback from the "total brain" in the background, so the delay is simply unacceptable. This also explains why technology giants such as Intel have announced the beginning of the transition to data companies. Recently, Intel also established the Automated Driving Big Data Alliance with Ericsson, Denso, NTT, and Toyota, officially known as the AutomoTIve Edge CompuTIng ConsorTIum (AECC).

However, while edge computing is critical for real-time analysis and decision making, large amounts of data are still being dumped into the cloud for processing. Therefore, having a powerful cloud computing capability will be an important guarantee for data management, application analysis and operations, software upgrades, HD maps, path planning, payment, visualization, city management and diagnostics, ensuring that autonomous vehicles have the best Life cycle experience.

In addition, there is computer vision, which is the basic technology for autonomous vehicles to sense the surrounding environment, helping cars to analyze video streams in real time to understand traffic lights, pedestrians, roadblocks and road signs. At the same time, target detection, modeling, path prediction and other work is also a shoulder to the computer vision technology. In addition to being responsible for sensing the environment outside the car, computer vision technology has to analyze the video stream inside the car to find out if the driver is distracted. In addition, it also records and correlates events.

Automated driving has led to the development of a number of technologies, including security technology, connectivity technology, software, energy, mobile technology and nowadays artificial intelligence. These technologies will be more and more used in automobiles with the development of autonomous driving.

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