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Chapter I: Overview of the Autonomous Driving
1.1: Introduction of driverless car
1.1.1: The implication of driverless car
1.1.2: Research and development course of driverless cars
1.1.3: Technical stages of driverless cars
1.2: Benefit analysis of driverless cars
1.2.1: Safer driving process
1.2.2: Reducing environment pollution
1.2.3: Easing the traffic jams
1.2.4: Improving driving efficiency
1.2.5: More convenient life
1.2.6: More convenient parking
1.3: Technology and composition of driverless cars
1.3.1: Supporting technology of driverless cars
1.3.2: Components and systems of driverless cars
Chapter II: Analysis of Development of the Global Driverless Car Industry between 2016 and 2018
2.1: Summary of development of international driverless cars
2.1.1: Policy layout of driverless cars in various countries
2.1.2: Standards and regulations for intelligent & connected vehicles
2.1.3: Patent application for driverless cars
2.1.4: Accelerated progress of autonomous driving industry
2.1.5: The driverless car industry brings about benefits
2.2: Various countries speed up the deployment of self-driving road tests
2.2.1: California of the US gives green light to driverless road test permits
2.2.2: Japan publishes standards for self-driving road test permits
2.2.3: Korean government delimits road test area for autonomous driving
2.2.4: Singapore allows road tests of autonomous driving
2.2.5: EU steps up to remove barriers to self-driving road test
2.2.6: Other countries have liberalized self-driving road tests in succession
2.3: The United States
2.3.1: Financial supports to autonomous driving operations
2.3.2: Policy guide for self-driving cars
2.3.3: Federal government’s policies for self-driving cars
2.3.4: States speed up their own self-driving layout
2.3.5: Analysis of driverless consumers
2.3.6: Development status of driverless car industry
2.3.7: Commercial advancement of self-driving in the US
2.4: The United Kingdom
2.4.1: Regulations for autonomous driving gradually improved
2.4.2: Dynamic analysis of autonomous driving policies
2.4.3: Speeding up road tests of driverless cars
2.4.4: Establishing driverless test fund
2.4.5: The code of ethics for autonomous vehicles published
2.4.6: Driverless buses are being developed in the UK
2.5: Japan
2.5.1: The policy layout of Japan's autonomous driving
2.5.2: Japan will gradually popularize smart cars
2.5.3: Cooperation between governments and enterprises on autonomous vehicles accelerated
2.5.4: Driverless technology solves travel problems
2.5.5: Driverless bus introduced in Japan
Chapter III: Analysis of Development Environment of Driverless Car Market between 2016 and 2018
3.1: Economic environment
3.1.1: Macro-economic environment
3.1.2: Industrial situation
3.1.3: Fixed assets investment
3.1.4: Foreign-related economic analysis
3.1.5: Macroeconomic outlook
3.2: Social environment
3.2.1: Analysis of population environment
3.2.2: Income level of residents
3.2.3: Social consumption scale
3.2.4: Household consumption level
3.3: Technical environment
3.3.1: The status of science and technology input in China
3.3.2: The construction of standards for Internet of vehicles advanced
3.3.3: The Internet of Things has developed in a sound environment
3.3.4: Policies help development of the sensor industry
3.3.5: Big data industry development plan released
3.3.6: Technical standard of 5G industry gradually advanced
3.4: Industrial environment
3.4.1: The status of China's automotive industry
3.4.2: Car ownership on the rise
3.4.3: Automobile production technology gradually improved
3.4.4: Gradual development of automobile intelligentization
3.4.5: Smart cars have become a hot spot of development
Chapter IV: Analysis of China's Self-driving Policies and Standards between 2016 and 2018
4.1: Analysis of positive policy for autonomous driving
4.1.1: Development strategy of the intelligent transportation industry
4.1.2: Development outline for driverless cars
4.1.3: Development plan for intelligent & connected vehicles
4.1.4: Top design of smart vehicles advanced
4.2: Analysis of the technical standard system for intelligent & connected vehicles
4.2.1: Establishment of the standards for intelligent & connected vehicles
4.2.2: Basic considerations for standard system establishment
4.2.3: Process of establishing the standard system
4.2.4: The basic framework of the standard system
4.2.5: The Key points of establishing the standard system
4.2.6: Measures for implementing the standard system
4.2.7: Key points of establishing the standard system
4.3: Road tests of intelligent driving gradually developed in a standardized manner
4.3.1: The evolution of road test policy for intelligent & connected vehicles in China
4.3.2: China issues road test specifications for intelligent vehicles
4.3.3: Guidance for road tests of autonomous driving of Beijing
4.3.4: Guidance for road tests of autonomous driving of Shanghai
4.3.5: Administration method for driverless road tests of Fujian
4.3.6: Guidance for road tests of autonomous driving of Chongqing
4.3.7: Administration rules for autonomous driving of Changsha
4.3.8: Guidance for road tests of autonomous driving of Changchun
4.3.9: Guidance for road tests of autonomous driving of Shenzhen
4.3.10: Guidance for road tests of autonomous driving of Guangzhou
4.3.11: Guidance for autonomous driving of Tianjin
4.3.12: Administration rules for autonomous driving in Hangzhou
4.3.13: Administration rules for road tests of autonomous driving of Jiangsu
4.4: Development planning layout for intelligent driving vehicles
4.4.1: Strategic posture analysis
4.4.2: Analysis of planed targets
4.4.3: Analysis of key tasks
4.4.4: Strategic support analysis
Chapter V: Analysis of the Development of China's Driverless Car Industry from 2016 to 2018
5.1: Analysis of Driverless Car Industry Chain
5.1.1: Analysis of Industry Chain
5.1.2: Analysis of upstream and downstream Enterprises
5.2: Analysis of the Development stage of driverless cars
5.2.1: Stage of Research and development
5.2.2: Stage of small-scale testing
5.2.3: Stage of adjust the policy
5.2.4: The stage of the increase of sale
5.3: Overview of the Development of driverless cars from 2016 to 2018
5.3.1: Review of unmanned development in China
5.3.2: Acceleration of driverless driving’s development in China
5.3.3: Automatic driving road test propulsion status
5.3.4: SWOT analysis of driver-less R&D
5.3.5: Driverless driving technical paths
5.4: Developments in the driverless car industry from 2016 to 2018
5.4.1: First driverless bus passed the road test
5.4.2: Automatic driving of Super truck has been issued
5.4.3: Official release of smart trailer products
5.4.4: Driverless cars enter Guangzhou Airport
5.4.5: Driverless bus test-run in Shenzhen
5.5: Analysis of obstacles to Development of driverless Car Industry
5.5.1: Misconceptions
5.5.2: Cost issues
5.5.3: Technical issues
5.5.4: Regulatory issues
5.5.5: Standard issues
5.5.6: Safety issues
5.5.7: Other problem
5.6: Development Countermeasures of driverless Automobile Industry
5.6.1: Improve the relevant legal system
5.6.2: Establish the system of industry standards
5.6.3: Strengthen breakthroughs in core technologies
5.6.4: Guide the marketization of safety technology
5.6.5: Collaborative innovation is the necessary way
Chapter VI: Analysis of competition cooperation in the driverless car market in 2016-2018
6.1: Competitive pattern of global driverless automobile market
6.1.1: Competition pattern of global driverless automobile
6.1.2: China's driverless competitive pattern
6.1.3: Traditional car enterprise layout driverless
6.1.4: IT Internet Enterprise’s layout ways
6.1.5: Auto parts enterprises join the competition
6.1.6: Application side companies enter the driverless market
6.1.7: Cross-border global cooperation or trends
6.2: Analysis of Global Unmanned Cooperative Alliance
6.2.1: Automobile companies are dominant
6.2.1.1: BMW autonomous driving alliance
6.2.1.2: Volkswagen NAV Alliance
6.2.1.3: Toyota MSPF Alliance
6.2.1.4: Renault-Nissan-Microsoft Alliance
6.2.2: Technology companies are leading force
6.2.2.1: Google’s OAA Alliance
6.2.2.2: Baidu Ecological Cooperation Alliance
6.2.3: Travel companies are dominant
6.2.3.1: Uber Cooperative Alliance
6.2.3.2: Lyft cooperation alliance
6.2.4: Other forms of organizational alliances
6.2.4.1: Communication Equipment Company allied with carmaker
6.2.4.2: University-led self-driving alliance
6.2.4.3: Enterprises and research institutions form an alliance
6.3: Dynamic Analysis of Competition in International driverless Enterprises
6.3.1: Volvo Auto Car Development News
6.3.2: Development of Toyota driverless vehicles
6.3.3: Audi accelerates automatic driving layout
6.3.4: NVIDIA promotes autonomous driving product kit
6.3.5: Intel starts pilotless Safety Test
6.3.6: Apple enters the driverless industry
6.4: Dynamic Analysis of the layout of China's driverless Automobile Enterprises
6.4.1: BYD releases driverless systems
6.4.2: Geely Autopilot Cooperation dynamics
6.4.3: Xiaopeng Motor obtain California Road Test licence
6.5: China auto parts enterprises accelerate industrial penetration
6.5.1: O-film layout smart automotive industry
6.5.2: Asia-Pacific Mechanical&Electronic expand unmanned business
6.5.3: New Auto business status for navinfo
6.6: China's Internet logistics enterprise layout driverless Technology
6.6.1: Cainiao layout driverless
6.6.2: Jingdong launches unmanned express vehicle
6.6.3: Suning launches logistics unmanned express vehicle
Chapter VII: Analyse driverless cars related Industries in China from 2016 to 2018
7.1: Overview of the Development of Intelligent transportation Industry in 2016-2018
7.1.1: Key elements of Intelligent Transportation
7.1.2: The significance of developing intelligent transportation
7.1.3: Main areas of application of intelligent transportation
7.1.4: Scale Analysis of Intelligent Transportation projects
7.1.5: Development pattern of Intelligent Transportation Market
7.1.6: Policy support for intelligent transportation industry
7.2: Overview of the Development of Intelligent Vehicles Industry in 2016-2018
7.2.1: Concept of the Intelligent Vehicles
7.2.2: Functional structure of intelligent vehicle
7.2.3: Analysis of Intelligent Index of Vechicle
7.2.4: Development path of intelligent vehicles
7.2.5: Development Space of intelligent vehicles
Chapter VIII: Analysis of the Basic Technology and System of Driverless Cars
8.1: Overview of Driverless Cars Technology
8.1.1: Key Technologies of Driverless Cars
8.1.2: Basic Equipment for Driverless Cars
8.1.3: Core Technology of Driverless Cars
8.2: Context-Aware Technology
8.2.1: Introduction of Context-aware system
8.2.2: The Principal of Sensing Technology
8.2.3: Sensing Technology
8.2.4: Camera System
8.2.5: Radar System
8.2.6: High Precision Maps
8.3: Control System
8.3.1: Basic content of the system
8.3.2: Computing and Process System
8.3.3: Electric Power Steering
8.3.4: Electric Park Brake (EPB)
8.3.5: Auto-Braking Technology
8.3.6: Reversing Anti-collision system
8.3.7: Electronic Throttle
8.4: Interconnect Technology
8.4.1: Automotive Interconnect Technology
8.4.2: V2X Module
8.4.3: On-board LTE Module
8.5: The Internet of Things (IoT) Technology
8.5.1: Analysis of IOT Application
8.5.2: Main Application Area of IOT
8.5.3: Analysis of IOT Industry
8.5.4: IoT Technology Application in Driverless Car
8.5.5: IoT industry's future development plan
8.6: Artificial Intelligence (AI) Technology
8.6.1: The connotation and classification of AI
8.6.2: Analysis of AI Industry Chain
8.6.3: Accelerating Development of AI Industry
8.6.4: Analysis of AI Industry Scale
8.6.5: AI Contributes to Unmanned Drive
8.6.6: AI Development Planning
8.6.7: Forecast of AI Industry Profit
Chapter IX: Analysis of key system equipment of driverless vehicles in 2016-2018
9.1: ADAS Auxiliary driving system
9.1.1: Industrial status of ADAS Technology
9.1.2: Subdivision Module of ADAS system
9.1.3: Analysis of ADAS Industrial chain
9.1.4: Global ADAS market pattern
9.1.5: Drivers of market development in ADAS
9.1.6: ADAS Market size Forecast
9.1.7: The Development trend of ADAS system
9.1.8: Future development of ADAS Industry
9.2: Navigation Electronic Map
9.2.1: Analysis of Electronic Map Industry chain
9.2.2: Scale of China's electronic map market
9.2.3: Electronic map market competition pattern
9.2.4: High precision map into smart vehicle standard
9.2.5: Analysis of business model of gaojing map
9.2.6: Accelerate the layout of high precision maps
9.2.7: High precision map industry development barrier
9.3: Sensing equipment
9.3.1: Analysis of automotive sensing requirements
9.3.2: Sensor market scale
9.3.3: Optimal sensor scheme
9.3.4: Millimeter radar equipment
9.3.5: Lidar equipment
Chapter X: Technology Analysis of driverless Internet of Vehicle in 2016-2018
10.1: Technical Analysis of Internet of Vehicle
10.1.1: Connotation and characteristics of Internet of Vehicle
10.1.2: Basic structure of Internet of Vehicle system
10.1.3: Interconnected system of Internet of Vehicle
10.2: Overview of the development of the Internet of Vehicle industry in 2016-2018
10.2.1: Analysis of the Industrial chain of Internet of Vehicle
10.2.2: Development process of Internet of Vehicle
10.2.3: Scale of Internet of Vehicle industry
10.2.4: Characteristics of Internet of Vehicle
10.2.5: Analysis of Internet of Vehicle requirements
10.2.6: Status of the Internet of Vehicle industry
10.2.7: Development opportunities for Internet of Vehicle
10.2.8: Internet of Vehicle Market Forecast
10.3: Application of Internet of Vehicle Technology in driverless areas
10.3.1: Internet of Vehicle is the basis of Intelligent Transportation
10.3.2: Networking of vehicles becomes an undriven contender
10.3.3: Internet of Vehicle will enable driverless vehicles
10.4: Design of driverless system based on Internet of Vehicle
10.4.1: Driverless systems using Internet of Vehicle technology
10.4.2: Design of embedded Internet of Vehicle platform for driverless vehicles
10.4.3: Application Design of driverless vehicles based on Internet of Vehicle
10.5: Analysis of the Future Development trend of Internet of Vehicle
10.5.1: Development trend of Electric Commerce in Internet of Vehicle
10.5.2: Progressive cross-border cooperation through the networking of vehicles
10.5.3: Further innovative Internet of Vehicle services
Chapter XI: Commercial Application Analysis of driverless Technology in 2016-2018
11.1: Commercial applications of unmanned technologies
11.1.1: Background for commercial applications
11.1.2: Application in passenger cars
11.1.3: Application in Commercial vehicles
11.1.4: Commercial application has broad prospects
11.2: Commercial Application of driverless in Construction Machinery Industry
11.2.1: Unmanned driving is favored by construction machinery
11.2.2: Developments in research and development of driverless construction machinery
11.2.3: Application products for driverless mining trucks
11.2.4: Enterprises develop driverless mechanical products
11.3: Commercial applications of driverless in the field of logistics
11.3.1: Intelligent driving assists logistics upgrade
11.3.2: Application of driverless Freight Logistics
11.3.3: AGV Intelligent Logistics vehicle equipment
11.3.4: AGV Market size Forecast
11.4: Driveless driving development and application in the military field
11.4.1: Overview of driveless driving application in the military field
11.4.2: Increased autonomy of military applications
11.4.3: Research and Development of Driveless Driving Surface vessels
11.4.4: Unmanned military applications
11.4.5: Unmanned Naval vessels to be built by British Enterprises
11.4.6: China develops unmanned armored vehicles
11.5: Commercial applications of driverless vehicles in other areas
11.5.1: Priority areas for unmanned technology applications
11.5.2: Driveless driving applications in the field of air transport
11.5.3: Driveless drivng applications in Rail Transit
11.5.4: Environmental cleaning applications of driverless technologies
Chapter XII: Analysis of key international driverless car enterprises, the Year of 2019-2023
12.1: Goolge
12.1.1: The general development situation of the enterprise
12.1.2: The financial situation of the enterprise
12.1.3: Research and development process of driverless cars
12.1.4: Driverless car products of Google
12.1.5: Technology strength of driverless car
12.1.6: Establishment of a self-driving subsidiary
12.1.7: Production plan of driverless cars
12.2: Tesla
12.2.1: The general development situation of the enterprise
12.2.2: The financial situation of the enterprise
12.2.3: Driverless car products of Tesla
12.2.4: Driverless car industry layout
12.2.5: The plan of the development of driverless cars
12.3: General Motors
12.3.1: The general development situation of the enterprise
12.3.2: The financial situation of the enterprise
12.3.3: The establishment of driverless research team
12.3.4: Speed up the production of driverless cars
12.3.5: Cooperation between companies in autonomous driving industry
12.4: Ford Motor Company
12.4.1: The general development situation of the enterprise
12.4.2: The financial situation of the enterprise
12.4.3: Accelerate the research and development of driverless cars
12.4.4: Underline the importance of self-driving safety
12.4.5: Develope plan for driverless cars
12.5: Daimler-Benz AG
12.5.1: The general development situation of the enterprise
12.5.2: The financial situation of the enterprise
12.5.3: The development plan of autonomous driving
12.5.4: Cooperation between driverless companies
12.5.5: The development plan for driverless cars
12.6: BMW Group
12.6.1: The general development situation of the enterprise
12.6.2: The financial situation of the enterprise
12.6.3: Parking system of automonous driving
12.6.4: Development trend of autonomous driving
12.6.5: Accelerate the research and development of driverless cars
12.6.6: The development plan for driverless cars
Chapter XIII: Analysis of key enterprises of China's driverless cars in 2016-2018
13.1: Internet companies
13.1.1: Baidu, Inc.
13.1.1.1: The general development situation of the enterprise
13.1.1.2: The financial situation of the enterprise
13.1.1.3: Driver-less car industry layout
13.1.1.4: Technical strength of driver-less car
13.1.1.5: Development of unmanned products
13.1.1.6: Autopilot technical cooperation dynamic
13.1.1.7: Driver-less car’s future development layout
13.1.2: Tencent
13.1.2.1: The general development situation of the enterprise
13.1.2.2: The financial situation of the enterprise
13.1.2.3: Driverless car investment layout
13.1.2.4: Get the intelligent network car road test license
13.1.2.5: Autopilot cooperation
13.1.3: HUAWEI Corporation
13.1.3.1: The general development situation of the enterprise
13.1.3.2: The financial situation of the enterprise
13.1.3.3: Technical R&D strength
13.1.3.4: Driver-less technology layout
13.1.3.5: Unmanned driving cooperation dynamics
13.1.3.6: Join the auto-driving presentation
13.2: Traditional car companies
13.2.1: BAIC Group
13.2.1.1: The general development situation of the enterprise
13.2.1.2: Promote the intelligent development of automobiles
13.2.1.3: Development of the driverless industry
13.2.1.4: Smart Driving Vehicle Product
13.2.2: SAIC Group
13.2.2.1: The general development situation of the enterprise
13.2.2.2: Analysis of the enterprise operation
13.2.2.3: Smart Driving Vehicle Product
13.2.2.4: Driverless road test layout dynamics
13.2.2.5: Intelligent driving technology cooperation dynamics
13.2.3: Guangzhou Automobile Group Co., Ltd.
13.2.3.1: The general development situation of the enterprise
13.2.3.2: Analysis of the enterprise operation
13.2.3.3: Driverless-car development layout
13.2.3.4: Driver-less car Development Planning
13.2.4: Chongqing Changan Auto Mobile Co.,Ltd
13.2.4.1: The general development situation of the enterprise
13.2.4.2: Intelligent car product development
13.2.4.3: Automatic driving test dynamics
13.2.4.4: Driver-less driving cooperation process
13.2.4.5: Driver-less car Development Planning
13.3: Auto Parts Enterprises
13.3.1: Shenzhen Roadrover Technology Co.,Ltd.
13.3.1.1: The general development situation of the enterprise
13.3.1.2: The financial situation of the enterprise
13.3.1.3: Setting up a smart driving fund
13.3.1.4: Intelligent driving development strength
13.3.1.5: Intelligent car development strategy
13.3.2: Zhejiang Vie Science and Technology Co., Ltd.
13.3.2.1: The general development situation of the enterprise
13.3.2.2: The financial condition of the enterprise
13.3.2.3: Speeding up the expansion of the driverless business
13.3.2.4: Building an intelligent transportation ecological network
13.3.2.5: The intelligent driving center is put into use
13.3.3: Ningbo Joyson Electronics Co., Ltd.
13.3.3.1: The general development situation of the enterprise
13.3.3.2: The financial situation of the enterprise
13.3.3.3: Human-computer interaction (HMI) product
13.3.3.4: Autopilot layout dynamics
Chapter XIV: Development trend of China's driverless car industry
14.1: Development trend of global driverless car industry
14.1.1: Number of global investment and financing events related to driverless cars is accelerating
14.1.2: The global market of autonomous driving is large
14.1.3: Cooperation between international automobile enterprises on autonomous driving
14.2: Investment trend of China’s driverless car industry
14.2.1: Financing conditions of driverless technology companies
14.2.2: The situation of the driverless car capital market
14.2.3: Analysis of investment in the driverless cars industry
14.3: Development trend and path of driverless car industry in China
14.3.1: Business applications of autonomous driving
14.3.2: Circumstances for driverless cars’ popularization
14.3.3: Integrated development of local enterprises
14.3.4: The future path of automobile enterprises
14.3.5: The future path of Internet enterprises
Chapter XV: Summary of CIC's Investment Suggestions for China's Driverless Vehicle Industry in 2019-2023
15.1: Assessment of Investment Value
15.2: Analysis of market opportunity
15.2.1: Investment opportunity matrix
15.2.2: Investment space forecast
15.3: Drivers of development
15.3.1: Assessment of factors
15.3.2: Economic factors
15.3.3: Technology factors
15.3.4: Policy factors
15.3.5: Social factors
15.4: Analysis of investment barriers
15.4.1: Assessment of entry barrier
15.4.2: Competition barrier
15.4.3: Technology barrier
15.4.4: Finance barrier
15.4.5: Policy barrier
15.4.6: Risk Warning
15.5: Industry timing analysis
15.6: Industry Investment Advice
A driverless car, also known as wheeled mobile robot, is a kind of intelligent vehicle and relies primarily on intelligent driving devices mainly comprising computer systems built inside the car to materialize autonomous driving operations. A driverless car is a smart car that can perceive the surrounding road environment, autonomously plan the route and control itself to reach the pre-set destination through vehicle-mounted perceiving systems. A driverless car perceives the surrounding environment by using sensors and controls its steering and speed based on the acquired information in terms of road, vehicle location and obstacles thus it can safely and reliably run on the roads. It integrates numerous technologies such as automatic control, system structure, artificial intelligence and visual computing etc. and is a product of highly developed computer science, mode recognition and intelligent control technologies.
Research institutions have predicted that the autonomous driving can reduce traffic accidents by some 90% and millions of patients will no more be sent to the emergency units of hospitals annually; over 80% of traditional premium will be cut off; 90% of commuting time and energy consumption will be saved and 90% of vehicles will no more be needed; it can also help to reduce 300 million tons of carbon dioxide discharged by vehicles annually. Driverless car is a globally leading and revolutionary industry having impact on three markets with sizes amounting to 10 trillion (automotive, travel and social benefit); it is a product of cross-border integration among automotive, artificial intelligence and communication, and also the most important and integral part of the future smart cities.
On 12 September 2017, the US government officially released the new regulations for driverless cars and this act significantly drives the advancement of the self-driving industry in the US and even in the whole world, spurs more innovations in this filed, and inspires more industrial entities as well as driverless car makers and system manufacturers to conduct a new round of technical revolution more quickly; its impact is of great significance and far-reaching.
Following that the autonomous driving concept becomes hotter and hotter, the industrial giants have started to map out their own autonomous driving. In the morning of 4 July 2018, Li Yanhong, CEO of Baidu, announced at the Baidu AI Developer Conference that the 100th of the world first L4 class commercial driverless car, the Golden Dragon Apolong, had been officially launched. This means that the driverless cars are being produced in volume. In addition, Changan Automobile, Greatwall Automobile, Futian Automobile, Jianghuai Automobile, Golden Dragon Bus, ZTE, Luchang Technology and other A-share market listed companies have also entered this industry in succession.
The development of relevant standards concerning autonomous driving has also been gradually accelerated; on 28 February 2018, Shanghai Economic and Information Commission, the Public Security Bureau and the Transport Commission jointly issued the Administration Method for Road Tests of Intelligent & Connected Vehicles of Shanghai, in which the requirements in terms of road test application conditions, test applications and reviews, test administration, accident handling and responsibilities following rule-breaking operations etc. are provided. Since 1 May 2018, the three ministries including Ministry of Industry and Information Technology, Ministry of Public Security and Ministry of Transport jointly issued the official Administration Codes for Road Tests of Intelligent & Connected Vehicles (Trial). In the said Codes, the testing subjects, testing drivers and the applications, reviews, administration and accident handling etc. are provided in detail, which is applicable to the road tests of intelligent & connected vehicles in China. The release of the above Codes also evidences that the autonomous driving in China is coming to a reality.
This In-depth Research and Investment Prospect Forecast Report of Driverless Car Industry of China between 2019 and 2023 issued by China Investment Consulting comprises 15 chapters in total. The Report begins with the basic definitions of driverless car technology, followed by the development status of the international driverless car industry and the development environment and development status of the domestic driverless car market. Then, the Report presents detailed and careful analysis of the competition scenario, relevant industries and autonomous driving system equipment in China and also introduces the commercialized application of autonomous driving technology as well as the key domestic and overseas enterprises in this field; finally, the report provides scientific forecast and analysis of the investment prospect and development trend of the driverless car industry.
The data adopted in this Report have mainly been obtained from the National Bureau of Statistics of China, Ministry of Industry and Information Technology, Ministry of Finance, CIC Industrial Research Center, CIC Market Survey Center, China Hi-tech Industry Association, China Automotive Industry Association as well as the key domestic and overseas periodicals; the data are authoritative, rich and in detail; meanwhile, through professional analysis and forecast model, the core development indices of the industry have been forecasted in a scientific approach. If you or your organization intends to have a systematic and in-depth understanding of the driverless car market, or wishes to make investments in the relevant industries, this Report will be an important and indispensable tool for your ready reference.