As the development direction of the future automobile industry, the market size of China's smart driving industry is expected to reach 121.4 billion yuan by 2020, and the prospects are expected.
In the future, the national smart driving related policies and regulations will gradually take shape, the technology in the industry will continue to improve, and the Chinese intelligent driving companies will actively promote the application, the scale of China's smart driving market will continue to expand.
I. Global and China's smart driving market status
The improvement of intelligent driving technology is a high degree of integration of assisted driving technology
According to the degree of automation of intelligent driving technology, the car can be divided into four levels, from low to high, which are primary auxiliary driving vehicles, advanced auxiliary driving vehicles, self-driving cars and driverless cars.
The improvement of intelligent driving technology is actually the fusion of multiple assisted driving technologies. The single assisted driving technology can only provide driver assistance for the driver, and the fusion of multiple assisted driving techniques can adapt to more scenes, and even unmanned driving in the whole scene.
The emergence of smart cars is the key point of qualitative change in the development of intelligent driving technology
The popularity of smart cars will form new business models in the future. Some core hardware such as car camera, car radar, car night vision device will be pre-installed in the smart car, and additional hardware will be connected to the car through a unified transmission bus.
The intelligent driving related software will be pre-installed as an option, and the owner can also choose to download the smart driving related software that meets his requirements. The emergence of smart cars will gradually form a complete software and hardware ecosystem, and upstream smart driving hardware suppliers and solution providers will have the opportunity to directly face end consumers.
Similar to the mobile phone industry has experienced the evolution from functional machines to smart phones, the automotive industry will also experience the process from the emergence of functional cars to smart cars, to the popularization of smart cars. It’s just that the auto industry is more complicated and the process will be relatively long. When assisted driving technology became popular in functional vehicles, people began to explore the intelligence of functional vehicles and add third-party smart accessories to functional vehicles.
With the advancement of rear-mounted smart driving accessories technology, autonomous driving technology and even driverless technology will gradually become popular in functional vehicles. When smart driving technology develops to a more mature stage, coupled with the rapid development of the Internet, independent smart cars will begin to emerge. The emergence of smart cars is a key point in the development of smart driving technology.
At the same time as the development of smart cars, the demand for smart driving accessories from functional vehicles will change from post-installation to front-loading, and finally the transformation from functional cars to smart cars will be completed. When third-party smart driving accessories designed for smart cars are popularized, smart cars will also usher in rapid development.
The popularity of smart cars will form new business models in the future. Some core hardware such as car camera, car radar, car night vision device will be pre-installed in the smart car, and additional hardware will be connected to the car through a unified transmission bus.
The intelligent driving related software will be pre-installed as an option, and the owner can also choose to download the smart driving related software that meets his requirements. The emergence of smart cars will gradually form a complete software and hardware ecosystem, and upstream smart driving hardware suppliers and solution providers will have the opportunity to directly face end consumers.
Automotive industry technology upgrades and policies are gradually improved to jointly promote the development of smart driving industry
International policy:
In recent years, the United Nations, the United States, many European countries, and many Asian countries have formulated a number of related policies for smart driving to promote the integration of smart driving vehicles with existing transportation systems and encourage the development of intelligent driving technology.
In March 2016, the United Nations issued an amendment to the International Convention on Road Traffic, which allows cars to be driven automatically during certain periods.
The US federal government recognizes the legal status of Google's driverless cars. Nevada is the first to license Google to allow Google's driverless cars to drive on the road.
France, the United Kingdom, Germany, Japan, South Korea, etc. have announced that they will invest a large amount of money to support research related to autonomous driving and driverless driving.
Chinese policy:
In May 2015, “Made in China 2025†issued by the State Council made driverless cars one of the important directions for the future transformation and upgrading of the automobile industry. The "13th Five-Year Plan" also proposes to actively develop the goal of intelligent networked cars. Relevant laws and regulations have also been put on the agenda.
In July 2016, Fu Yuwu, chairman of the China Automotive Engineering Society, said that the roadmap for China's driverless technology is about to be released, which will become China's first unmanned technology standard.
economic aspect:
The government's investment in advanced science and technology research and development has gradually increased, and intelligent driving technology has an important position.
The broad commercialization prospects of intelligent driving have also been widely concerned by the capital market. Investment institutions and Internet giants have entered the market in cooperation with car companies, scientific research institutions and start-up companies.
Social aspects:
Globally, the number of accidents caused by traffic accidents every year has increased year by year, most of which are caused by human factors. Intelligent driving, especially unmanned driving, can effectively reduce traffic accidents and reduce mortality.
User acceptance of smart driving continues to increase.
Entrepreneurial companies in the field of intelligent driving are constantly emerging, promoting the rapid development of the smart driving market.
Technical aspects:
Most of the vehicle manufacturers focus on assisted driving, and gradually test and assemble the advanced assisted driving system, and then transition from assisted driving to automatic driving, ultimately achieving driverless driving.
Internet vendors directly cut from the highest level of intelligent driving, driving unmanned with artificial intelligence, high-precision maps and laser radar.
In China, smart driving R&D teams and smart driving startups of large Internet companies tend to have higher technical strength and are more active than overseas companies to try to promote the driving of smart cars.
There are still many bottlenecks in the mass production and popularization of intelligent driving vehicles.
From the birth of the first car in 1886 to the present, the car has brought a lot of benefits to people in the past 130 years, but it has also exposed more and more problems, such as environmental pollution, road congestion, casualties caused by traffic accidents, and so on.
Intelligent driving can solve the user's pain points caused by traditional driving methods through technical means. For example, smart driving vehicles can reduce environmental pollution by using clean energy; smart driving vehicles can adjust driving speed according to the environment and accurately select driving routes to alleviate traffic congestion; intelligent driving vehicles can avoid human factors (not obeying traffic rules, fatigue driving, etc.) Traffic accidents, etc.
From a technical point of view, the driverless vehicle completes the road test under various complicated road conditions, so that the unmanned concept is completed. The continuous upgrading of various related technologies, hardware and software, as well as the rapid development of the Internet, have become powerful technical drivers of intelligent driving. In addition, governments and capital markets have provided strong financial support for the development of smart driving.
Although capital has played a significant role in promoting the smart driving market, the capital side has an eagerness to commercialize and realize its demands. Although there are many entrants in China's smart driving market, from the perspective of China's environment, its technical level and industrial level still have uncertainties in ensuring the landing of high-quality intelligent driving vehicles. Currently in China, Baidu, Changan, Beiqi, Zhijiayou Companies such as banks have begun to show their smart driving cars and try to commercialize them, but in contrast, the number of road test mileage is far less than the number of road test mileage of the world's leading intelligent driving companies.
Analysys Analysys believes that China's smart driving companies should accelerate the pace of commercialization driven by capital and should consider more issues such as policy and safety. In addition, the premature commercialization of smart driving field may make some technical strengths stronger but less resources. The company is out early.
Intelligent driving driver
â—The traditional driving style has a lot of defects, and smart driving can be solved by various technical means.
1. Relieve driver restrictions: In smart driving cars, you don't need to care if the driver is not old enough, too old, no driver's license, blind, mentally impaired, drunken, etc.
2. Reduce the number of drivers: Smart driving cars can be driven to the desired location, such as carrying passengers or performing maintenance, without the need for someone in the car. This is especially relevant for operating vehicles such as trucks and taxis.
3. Increase the unit's car capacity: The intelligent driving car for operation can take passengers out of the car and carry another passenger to another place. In addition, the removal of the steering wheel and other driving interfaces saves cabin space and allows for cockpit design that does not require passengers to sit in the driver's seat.
4. Reduce traffic accidents: Smart driving vehicles can use active and passive sensors (such as optical radar and radar) to continuously perform a wide range of sensing (such as visible light, infrared and ultrasonic waves, etc.) with 360 degree field of view. Therefore, it can respond safely to potential crises, and its response can be faster than human driving and will not fatigue.
5. Reduce road congestion: Smart driving vehicles require less traffic safety clearance and better manage traffic flow, thereby increasing road capacity and reducing traffic congestion.
6. Increased speed: Smart-drive cars are linked through the Internet to have higher speed limits.
7. Energy conservation: Reduced road congestion and increased vehicle speed can further save energy consumption for vehicles.
8. Alleviate parking problems: Smart driving cars allow passengers to get off the bus, stop at a location with enough parking space, and return to carry passengers when needed.
9. Reduce the number of traffic police: reduce the need for traffic police.
10. Reduce road signs: Smart driving vehicles can receive road signs electronically and plan routes.
11. Reduce vehicle theft: Increased vehicle sensing capability reduces vehicle theft.
â—Technology upgrade
Intelligent upstream driving industry chains such as chips, sensors, and battery technologies are gradually improving, and the cost of intelligent driving solutions is reduced.
â— Capital is good
The traditional car companies and Internet giants have brought positive capital to the attention of the intelligent driving field, and capital is constantly pouring in, which promotes the positive development of the industry.
Currently, the application of smart driving cars is still at a relatively early stage. As a subversive and innovative scientific and technological achievement, there are still many difficulties to overcome in order to achieve mass production and popularization of intelligent driving vehicles. Current traffic regulations are not fully applicable to smart-drive vehicles. Although many countries are drafting relevant bills, it will take a long time to formally introduce them. In addition, as a combination of technology and smart driving, smart driving vehicles are relatively lacking in flexibility and adaptability. The action language of traffic police and pedestrians may not be able to correctly identify and judge, and the ability to adapt to extreme environments needs to be improved.
The safety of intelligent driving vehicle systems is currently the most concerned by the market. After the car's intelligence level is increased, the number of vulnerabilities will also increase with the complexity of hardware and software. The hacking will not only damage the privacy and property of the owner, but also directly control the behavior of the car and even traffic accidents, causing personal injury. It is expected that security systems specifically targeting smart-drive vehicles will emerge in the future and generate new business opportunities after the popularity of smart-drive vehicles.
Intelligent driving obstacles
â— Destructive innovation
The full commercialization of a fully self-driving car can have a major impact on disruptive innovation in society as a whole. If the smart driving car is really adopted on a large scale, the original transportation system and the like may no longer be available, and the transition process is full of uncertainty.
â—Lack of policy
The government has to establish and implement a specific regulatory framework for smart-drive vehicles, and there are still considerable deficiencies in the regulations governing smart driving.
â—Unemployment problem
The driving opportunities related to driving in the society will be greatly reduced.
â—Robot ethics
An ethical issue like the tram problem, when the software of a smart car is forced to make a decision on possible damage in the event of an inevitable collision, problems will arise.
â— There are still some technical obstacles in smart driving at present.
1. Hacking: The future smart driving car will be an open system platform, which can lead to serious accidents if hacked.
2. Inter-vehicle communication system: An inter-vehicle communication system is required to coordinate the computer systems of individual cars, but the standards for such systems have not yet appeared. In addition, more radio spectrum is required for communication between cars.
3. Driver switching: If there is a need for manual driving, the driver may not have experience.
4. Extreme weather reliability: The reliability of navigation systems for smart driving vehicles under different weather types is still not perfect. At present, smart driving cars do not have a driving strategy for extreme weather.
5. Electronic maps: Smart driving cars are in normal operation and require very high quality dedicated maps. If these maps are outdated, smart driving cars must be able to return to reasonable behavior.
6. Behavioral awareness: At present, the gestures and physical functions of traffic police and other pedestrians cannot be fully recognized by self-driving cars.
7. Road Reconstruction: The current road infrastructure may need to be remodeled for smart driving to achieve the best results. Some examples include traffic signals and street lights that can communicate with smart driving cars.
National top-level design promotion, Japan, the United States or will be the first to achieve smart driving technology scale output
Globally, existing automotive and transportation related laws and policies are formulated for functional vehicles, and smart driving vehicles are emerging technologies that are not fully applicable to existing laws and regulations. In order to resolve this contradiction, the United Nations and many countries in the world have begun to formulate or plan to formulate relevant policies and regulations for the road test, application and safety of self-driving cars and driverless cars.
Among them, Google driverless cars have been identified as complying with US federal law, and the driverless system is identified as a "driver." In addition to policy support, many governments around the world have announced that they will provide substantial funding support for their own autonomous driving research.
In July 2016, Fu Yuwu, chairman of the China Automotive Engineering Society, said that the roadmap for China's driverless technology is about to be released, which will become China's first unmanned technology standard. The promulgation of China's first unmanned technology standard will provide standards and policy guidance for car manufacturers, large Internet companies and start-ups that China is now involved in developing smart driving technologies.
Analysys Analysys believes that the implementation of China's smart driving related policies will promote the commercial operation of China's smart driving related products as soon as possible. At the same time, China's low-end smart driving related companies will soon reshuffle.
China's current form of governance is very different from that of Western countries. China has problems in the new business field, such as slow policy and conservative attitudes. Therefore, the implementation of policies requires the coordinated promotion of relevant enterprises. Countries that will reach earlier in policy in the future will have a better chance of exporting smart driving related technologies.
Multi-domain enterprises join the hot-selling smart driving capital Blue Ocean, and become the key to global market share in the next three years
Analysys is divided into four phases: the exploration period, the market startup period, the high-speed development period and the application maturity period. The global smart driving market is currently in the exploratory phase.
At present, the global intelligent driving research competition is in the hot stage, and the enterprises that are the first to launch corresponding products will have a place in the field.
It is expected that by 2019, the global smart car market will usher in a reshuffle stage, and uncompetitive companies will be eliminated.
After a short period of market launch, by 2021, a few mature products will dominate the market, and smart driving technology will gradually become popular.
From the 1980s to the end of the Cold War, Western countries began to study autonomous driving and driverless technology from the military level, which also opened the curtain of the global intelligent driving industry. After the end of the Cold War, intelligent driving technology began to turn to civilian use, but still based on academic theory.
Until the beginning of the 21st century, with the popularization of functional vehicles, people's requirements for automobiles are getting higher and higher. In order to meet the needs of users, car companies began to try to combine the theoretical intelligent driving technology with automobiles to develop smart driving cars. After the development of GPS, ADAS, Internet and mobile Internet, the concept of smart car gradually landed and became the future development trend of the car.
The current capital market is favored by the smart car market. More and more traditional auto manufacturers, IT companies and Internet companies are also participating. The smart car market has ushered in a good development opportunity. However, the smart car industry has higher requirements for participants in terms of capital strength, technical level and operational capability.
At present, the global intelligent driving research competition is in the hot stage, and the enterprises that are the first to launch corresponding products will have a place in the field. It is expected that by 2019, the global smart car market will usher in a reshuffle stage, and uncompetitive companies will be eliminated. After a short period of market launch, by 2021, a few mature products will dominate the market, and smart driving technology will gradually become popular.
Radical strategy spurs China's smart driving market, China's smart driving companies are expected to win market opportunities
Analysys is divided into four stages: the exploration period, the market start-up period, the high-speed development period and the application maturity period. At present, China's smart driving market is in the exploratory stage.
Compared with the global market, Chinese companies are more aggressive in the field of smart driving. There are three types of smart driving related companies in China: one is a vehicle manufacturer; the other is a large Internet company; the third is a small smart driving startup.
Unlike the global market, Chinese vehicle manufacturers have a strong voice in the field of intelligent driving, but they are not the main solution developers. In China, smart driving R&D teams and smart driving startups of large Internet companies tend to have higher technical strength and are more active than overseas companies to try to promote the driving of smart cars.
In May 2016, Baidu announced that it will build a driverless car operation area in Wuhu and plans to commercialize it within three years. Analysys Analysys believes that Baidu's radical strategy will have a chain reaction, prompting other smart driving related companies to accelerate the promotion of smart driving products.
At the same time, China's low-end smart driving related companies will soon reshuffle. China's smart driving market will usher in the market start-up period earlier than the global smart driving market, and have the opportunity to take the lead in technology export to overseas companies in the future global smart driving technology competition.
Second, intelligent driving related enterprise case analysis
From hardware and software to commercial applications, the smart driving industry chain has begun to take shape.
Intelligent driving hardware is mainly composed of three parts: perception, decision and control. The sensing part mainly includes intelligent devices such as vehicle radar and vehicle camera. The main function is to collect and preliminary organize the information inside and around the car.
The decision part mainly includes intelligent devices such as processors and memories. The main function is to calculate and analyze the information transmitted by the sensing part and transmit the response instructions. The control part mainly includes the motor, electric control and energy storage equipment. The main function is to give the instructions of the central processor and provide energy for the car.
The smart device providers in the decision-making segment are mainly providers of PCs, tablets and smartphone chips, but compared to computers and mobile phones, the workload and working difficulty of smart-driving car processors and memories are exponential growth, with deep Chip manufacturing companies with technological precipitation and R&D capabilities will have greater advantages when entering the smart driving industry.
In addition, at present, smart-powered vehicles mainly use lithium batteries as the main energy storage equipment, but lithium batteries have problems such as poor low-temperature performance and poor product consistency. With the development of smart driving, energy storage equipment will also be updated to iterate out higher performance products.
High-precision maps are a vital part of intelligent driving systems, and their basic functions such as positioning and navigation greatly influence the accuracy, safety and comfort of the driving process. Map vendors are constantly pursuing the accuracy of maps, and maps in Baidu's driverless cars have reached centimeters.
However, the high-precision maps in the current smart-driving cars are mostly pre-installed, and the cars are highly dependent on them, which reduces the ability of intelligent driving vehicles to adapt to unfamiliar environments. With the upgrade of the algorithm, the future intelligent driving algorithm including high-precision map will be able to carry out a certain degree of self-learning.
At present, intelligent driving solutions are mainly divided into two categories, one is the ADAS assisted driving system for the front and rear of the functional car, and the other is the intelligent driving solution for the whole vehicle. Although ADAS currently occupies a relatively mainstream market, ADAS is, after all, an alternative solution for the transition period of functional cars and smart cars.
Analysys Analysys believes that the single-function ADAS for the front-rear market will gradually withdraw from the market, and the vehicle solution provider will occupy the important position of the intelligent driving industry chain as a supplier of complete vehicle manufacturers.
At present, smart-drive vehicle manufacturers are mainly divided into two categories, one is a traditional car manufacturer, and the other is an Internet car manufacturer. Compared with Internet car manufacturers, traditional car manufacturers are more conservative in the field of smart driving, and the inspection of suppliers and product safety is more demanding.
Internet car manufacturers are more aggressive in their strategy of driving smart car products, and the more open attitude of Internet car manufacturers can provide more ideas for other smart car manufacturers.
At present, the preferred level of higher-level intelligent driving technology is in the operating vehicle. Compared with private passenger cars, the operating vehicle road environment is relatively simple, the policy risk is low, and there is no need to consider commercialization problems such as cost recovery. With the advancement of technology, driverless technology will take the lead in the field of Internet buses and Internet freight transportation.
The Internet car and Internet freight field is a commercial focus of driverless technology. Its huge demand for car helps the smart driving related companies that have invested heavily in research and development to recover costs as soon as possible and expand unmanned passengers in private passenger cars. The influence of the road, paving the way for unmanned rapid landing in private passenger cars.
Beijing Branch: China's leading manufacturer of intelligent driving key components
Founded by Zhang Zhiwu team in 2005, Beijing Beiketian Technology Co., Ltd. is committed to manufacturing world-class laser radar and realizing the engineering application of domestic laser radar products.
Beiketian is the only high-tech enterprise in China that has the full range of measurement laser radar research and development capabilities. It is also the only laser radar manufacturer in China and abroad that has two major categories of products: surveying and mapping. At present, Beike Tianqi has started to carry out demand exchange and cooperation with domestic and foreign autopilot research teams and automobile OEMs.
Lidar is the "eye of the smart car" that truly has the spatial three-dimensional resolution. Navigation LiDAR is a multi-line lidar sensor. Multiple laser beams are emitted at different angles in the vertical direction. The horizontal direction scan is used to detect the three-dimensional contour of the target area. The multiple measurement channels (lines) are equivalent to the scanning planes of multiple inclinations. Therefore, the more the laser line in the vertical field of view, the higher the angular resolution of the vertical direction, and the higher the laser point cloud density. Beike Tianqi quickly deployed the development of navigational laser radar through its own technology accumulation in the field of measurement laser radar.
Beijing Branch: China's first laser radar industry to introduce navigational LiDAR
Beiketian will combine a full-solid-state electronically controlled scanning and flexible optical scanning technology to deepen multi-component (line) laser scanning and detection technology to develop a series of high-end multi-line high-density navigation LiDAR products. In the specific product form, the navigation laser application technical indicators (the range of laser radar, field of view coverage and measurement grid density) are greatly improved, the radar volume is gradually reduced and the weight is compressed, and the environment is adapted to the bottleneck (rain, fog, temperature, humidity, Vibration interference).
In 2014, Kita Tianqi investigated the market potential of autonomous driving and laser radar for robots, and started the development of navigational LiDAR technology and product development. In May 2016, the company launched the first 16-line 360-degree high-end navigation LiDAR - R -Fans. This product is the first product of Beiketian in the navigational LiDAR field, and is the first company to launch the finished product in the domestic laser radar industry.
Beiketian will combine a full-solid-state electronically controlled scanning and flexible optical scanning technology to deepen multi-component (line) laser scanning and detection technology to develop a series of high-end multi-line high-density navigation LiDAR products. In the specific product form, the navigation laser application technical indicators (the range of laser radar, field of view coverage and measurement grid density) are greatly improved, the radar volume is gradually reduced and the weight is compressed, and the environment is adapted to the bottleneck (rain, fog, temperature, humidity, Vibration interference).
Google: Driverless Car project technology maturity is leading the world
Google: Smart Driving related technology details
The surrounding environment is drawn by the top lidar and the distance is measured by laser reflected waves.
Vehicle radar, position sensor, etc. measure the acceleration and angular velocity of the vehicle in three directions, and then calculate the position of the vehicle in combination with GPS. All data is processed and the system makes a driving judgment.
Google: The incidence of failures is effectively controlled, making NHTSA the first to recognize artificial intelligence systems
NHTSA recognizes artificial intelligence systems for the first time: NHTSA's response to Google's driverless cars is an important sign of legalization of driverless entry. Prior to this, unmanned technology research and development will be subject to relevant laws and regulations. The positive attitude of NHTSA indicates that the public sector has a more consistent and positive opinion on unmanned vehicles.
Google driverless car road car more than 1 million kilometers
In the fourth quarter of 2014, driverless cars experienced a breakdown every 785 miles, compared to 5,318 miles in 2015. After the start of May 2015, there was an average of 15.4 failures per month, a significant decrease. It is easy to know that Google has effectively debugged hardware and artificial intelligence algorithms such as laser radar.
NHTSA recognizes artificial intelligence systems for the first time: NHTSA's response to Google's driverless cars is an important sign of legalization of driverless entry. Prior to this, unmanned technology research and development will be subject to relevant laws and regulations. The positive attitude of NHTSA indicates that the public sector has a more consistent and positive opinion on unmanned vehicles.
NHTSA stated: the terms of the "Federal Motor Vehicle Safety Standard" submitted by Google in the case of unmanned driving. Interpretation is not a major issue, but a new rule should be used to solve the problem, but it takes a certain amount of time.
NHTSA recognizes that Google's driverless cars do not have drivers in the traditional sense, and that the "autopilot system" is driving a car.
NHTSA advises Google to submit an application for exemption for terms that are no longer suitable for driverless cars.
Google: Commercialization of smart driving solutions is mature
Large-scale manufacturing: In February 2016, Google's driverless programs recruited a large number of technical talents; from the specific recruitment positions, Google is embarking on the ability to develop and produce unmanned vehicles.
Application development: Google is exploring the application of driverless cars in the fields of public transportation, logistics and freight, and car rental. They all have one thing in common: they are more cost-effective.
Tesla: Internet + new energy vehicles are favored by the market
Tesla Motors has found a strategy for differentiated development from traditional car manufacturers with electric vehicles as the core breakthrough. At the beginning of Tesla's establishment, his target customers were high-income people with environmental awareness; through this part of the proceeds to develop and manufacture cars of moderate and medium-sized cars; and finally to achieve low-cost, high-volume production for the masses. car.
Tesla's product development and marketing rhythm is also a good example of this strategy: by building high-end flagship products to accumulate potential energy, the technology matures and quickly promote low-priced products to occupy the market. In April 2016, Tesla introduced the Model 3, an entry-level electric vehicle, and received more than 135,000 orders in 24 hours, which is five times the annual sales of Tesla in 2015.
Tesla was listed on the NASDAQ exchange in the United States in 2010. In the past six years, Tesla's share price has risen to more than 200 US dollars, and its issue price of 17 US dollars has more than 10 times. Since Tesla's listing, its operating income has risen more than 70 times, with an annual growth rate of 134%. After the introduction of entry-level electric vehicles in 2016, Tesla's operating income is expected to continue to maintain rapid growth.
Although Tesla has not yet achieved profitability so far, in the foreseeable future, with the gradual improvement of the basic facilities of electric vehicles, the increasing acceptance of electric vehicles by consumers, and the gradual resolution of their own production capacity problems, As a representative company in the electric vehicle industry, Sla will quickly turn around.
Tesla: Mature hardware + machine learning to create a smart driving commercial vehicle
Tesla uses a camera as the eye of a driverless car. This front camera is mounted in front of the mirror and processes the information extracted by the camera through software to calculate distances, identify road signs and detect crosswalks. At the same time, Tesla equipped the car with 12 long-range ultrasonic sensors that provide a 360-degree viewing angle. It also comes with a front-mounted radar system to help semi-automated driving systems.
Tens of thousands of Tesla Models transmit real-time data collected on the road back to Tesla's central database, adding an average of one million miles of driving data per day. Tesla's software will continue to improve the performance and driving experience of the improved algorithm based on this information feedback. In the context of the continuous increase in the number of users, it is foreseeable that the intelligence level of Tesla assisted driving will be significantly improved.
Third, the global and Chinese smart driving market development trend
China's smart driving passenger car market penetration rate will continue to increase
According to public data, in 2015 China's passenger car sales reached 21.146 million units, which is expected to reach 27.733 million in 2020.
Analysys Research has found that as of 2015, China's smart driving passenger car penetration rate has reached 15%, but there are still a large number of smart driving passenger cars in the level 1 - level 2 level. It is estimated that by 2019, the penetration rate of China's smart-drive passenger cars will exceed 50%, and the proportion of smart-drive cars with level 3 to level 4 will also increase significantly.
China's smart driving market will continue to expand
At present, due to the short development time of the intelligent driving market, the maturity of the industry needs to be improved, and the market demand is expanding, which has great potential for development.
In the future, the national smart driving related policies and regulations will gradually take shape, the technology in the industry will continue to improve, and the Chinese intelligent driving companies will actively promote the application, the scale of China's smart driving market will continue to expand.
As of 2015, the size of China's smart driving market has reached 35.3 billion yuan. It is estimated that the scale of China's smart driving market will reach 121.4 billion yuan in 2020.
Operational vehicles will become the first choice for commercialization of intelligent driving technology
At present, smart driving technology mostly falls in private passenger cars, but due to policy and technical constraints, the highest level of unmanned driving in intelligent driving has great obstacles in the landing of private passenger cars.
At present, the preferred level of higher-level intelligent driving technology is in the operating vehicle. Compared with private passenger cars, the operating vehicle road environment is relatively simple, the policy risk is low, and there is no need to consider commercialization problems such as cost recovery. With the advancement of technology, driverless technology will take the lead in the field of Internet buses and Internet freight transportation.
The Internet car and Internet freight field is a commercial focus of driverless technology. Its huge demand for car helps the smart driving related companies that have invested heavily in research and development to recover costs as soon as possible and expand unmanned passengers in private passenger cars. The influence of the road, paving the way for unmanned rapid landing in private passenger cars.
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