Global and China L4 Autonomous Driving Industry Report, 2019-2020
  • Apr.2020
  • Hard Copy
  • USD $3,600
  • Pages:255
  • Single User License
    (PDF Unprintable)       
  • USD $3,400
  • Code: ZHP103
  • Enterprise-wide License
    (PDF Printable & Editable)       
  • USD $5,000
  • Hard Copy + Single User License
  • USD $3,800
      

Giants gain high finance.
Progress of L4 autonomous driving is greatly hampered over the recent two years, causing OEMs’ and Tier 1 suppliers’ delay in L4 launches. Yet, the top L4 companies still raised huge funds in the past year.

L4 1_副本.png

In 2019, Baidu, Pony.ai and WeRide succeeded in commercial pilot of Robotaxi on complex urban roads in limited areas, a crucial step for L4 autonomous driving in China.

L4 autonomous driving technologies starts to find real application but gets deployed by most players first in one scenario or two as the current L4 cannot be perfectly suited to all driving scenarios.

It is shown from the planning of the OEMs and the providers of technical solutions for autonomous driving that L4 autonomous driving will be commercialized in limited scenarios ahead of open scenarios in the following three to five years.

Baidu, UISEE, DeepBlue and Trunk Tech all have conducted L4 trials in limited scenarios such as parks, ports, and airports. Besides, Baidu, Momenta, Bosch, ZongMu and UISEE are vigorously deploying in the parking lot scenario.

Deployments in open scenarios cover Robotaxi on urban roads and autonomous trucks on the expressways. In the Robotaxi field, Waymo, Baidu, Pony.ai, and WeRide have carried out pilot projects in both China and the U.S. in specific areas of a city, manned by safety officers, and WeRide is already fully open to the public in Nov.2019. Software & hardware technology iteration and larger-scale tests are essential for open Robotaxi in wider areas.

L4 2_副本.png

Technically, the current L4 autonomous vehicles for tests (or trial operation) are largely provided with the single-car intelligence solution. For safer autonomous driving, solution providers make vehicle’s environment perception capability optimized ever. For instance, Voyage’s G2 autonomous vehicle carries Velodyne's VLS-128 LiDAR system with a detection range up to 300 meters, tripling the capability of the 64-channel LiDAR installed on the 1st-Gen autonomous vehicle. Boasting 29 cameras, Waymo’s next-generation autonomous driving system enables a detection range of 500 meters whist improving LiDARs’ performance significantly.

Also, it is of vital importance to enhance vehicle’s motion perception competence. High-precision positioning can be realized by integrating high-precision positioning modules (composed of 5G modules, IMU and HD maps).

L4 3_副本.png

In the short term, either single-car intelligence solution or strong field terminal solution fulfills L4 autonomous driving in the confined areas, but in the long run, collaborative vehicle infrastructure system (CVIS) is the mainstream technology roadmap for L4 autonomous driving. Through CVIS, the vehicle is fully connected to the “X” as spatiotemporal dynamic traffic information are collected and integrated whilst the active safety control of vehicle and the collaborative management on roads are done for safer running of autonomous vehicle.

By analyzing the test data, Baidu concludes that CVIS can solve 54% of the problems encountered in road tests and 62% of the takeovers incurred by single-car intelligence, adding redundancy for autonomous driving safety.

1. Overview of L4 Autonomous Driving

1.1 Definition and Grading of L4 Autonomous Driving
1.1.1 Definition (SAE)
1.1.2 SAE J3016
1.1.3 Autonomous Driving Ratings in China
1.1.4 ODD and Autonomous Driving Levels
1.1.5 L4+Map Fencing
1.2 Policies on Autonomous Driving
1.2.1 Policies Boost Autonomous Driving Industry
1.2.2 Development of Autonomous Driving Industry in China
1.2.3 Major Countries’ Policies on Autonomous Driving 
1.2.4 China’s Policies on Autonomous Driving
1.3 Autonomous Driving Tests
1.3.1 Applicants for Road Tests in California
1.3.2 Distribution of Major Autonomous Driving Test Sites Worldwide
1.3.3 Construction of Major Autonomous Driving Test Sites in Foreign Countries
1.3.4 Distribution of Autonomous Driving Test & Demonstration Bases in China
1.3.5 Construction of Major Autonomous Driving Test Sites in China

2. Technical Analysis of L4 Autonomous Driving

2.1 Basic Requirements of Autonomous Driving on Vehicles
2.1.1 Autonomous Driving Standard Organizations
2.1.2 Typical L4 Computing System Architecture
2.1.3 Typical L4 Autonomous Driving Computing Platform
2.1.4 Comparison of L4 Computing Platform Chips
2.1.5 Typical L4 Redundant Actuation Mechanism
2.1.6 Brake-By-Wire of L3/L4 Autonomous Driving
2.2 Comparison of L4 Technology Solutions
2.2.1 Comparison of OEMs’ Typical L4 Solutions
2.2.2 L4 Autonomous Driving Hardware Configuration of Main Solution Providers
2.3 L4 Technology Trends

3. Market Development and Forecast for L4 Autonomous Driving
3.1 Status Quo of Autonomous Driving
3.1.1 Comparison of Major L4 Autonomous Driving Companies
3.1.2 Collaborations among Major L4 Autonomous Driving Companies
3.2 Status Quo of Autonomous Driving Tests
3.2.1 Mileage Tests of Major Players in California, 2019
3.2.2 Disengagements in Autonomous Driving Test of Major Players
3.2.3 Tests in Beijing, 2019
3.3 Commercialization of L4 Autonomous Driving
3.3.1 Scenarios to which L4 Autonomous Driving Gets Applied 
3.3.2 Major Players’ Efforts in L4 Autonomous Driving Commercialization
3.4 L4 Market Size
3.5 Implementation Plan of Major Players for L4 Autonomous Vehicles

4. Global L4 Autonomous Driving Companies
4.1 Waymo
4.1.1 Profile
4.1.2 Development Course
4.1.3 Autonomous Driving Layout
4.1.4 Main Products
4.1.5 Autonomous Driving Operation
4.1.6 Partners
4.1.7 Development Strategy
4.2 GM Cruise
4.2.1 Profile
4.2.2 Financing
4.2.3 Main Products
4.2.4 Distribution of Test Projects and Manufacturing Bases
4.2.5 Business Layout
4.2.6 Business Planning
4.3 ZMP
4.3.1 Profile
4.3.2 Development Course
4.3.3 Distribution of Subsidiaries and Revenue, 2017-2019
4.3.4 Product Solutions
4.3.5 Presence in China
4.3.6 Shared Mobility Business
4.4 NuTonomy
4.4.1 Profile
4.4.2 Product Solutions
4.4.3 Partners
4.5 Argo AI
4.5.1 Profile
4.5.2 Team
4.5.3 Main Operations
4.5.4 Business Layout
4.5.5 Development Trend
4.5.6 Development Strategy
4.6 Aurora
4.6.1 Profile
4.6.2 Founding Team
4.6.3 Cooperation with OEMs
4.6.4 Main Business
4.7 Zoox
4.7.1 Profile
4.7.2 Main Products
4.7.3 Main Technologies
4.7.4 Autonomous Driving Test
4.7.5 Development Strategy
4.8 AImotive
4.8.1 Profile
4.8.2 Global Presence and Partners
4.8.3 Financing
4.8.4 Development Course
4.8.5 Main Products
4.8.6 Autonomous Driving Development
4.9 AKKA
4.9.1 Profile
4.9.2 Operation
4.9.3 Global Footprints
4.9.4 Main Products
4.9.5 Business Layout
4.10 Wayve
4.10.1 Profile
4.10.2 Technical Solutions
4.10.3 Development Plan
4.11 Voyage
4.11.1 Profile
4.11.2 Main Products
4.11.3 Technical Solutions
4.11.4 Robo-Taxi Layout
4.12 UBER

5. Chinese L4 Autonomous Driving Companies
5.1 Momenta
5.1.1 Profile
5.1.2 Main Technologies
5.1.3 Autonomous Vehicle Strategy
5.1.4 Main Products
5.1.5 Development Plan
5.2 Pony.ai
5.2.1 Profile
5.2.2 Development Course
5.2.3 Main Technologies and Tests
5.2.4 Main Products
5.2.5 Autonomous Driving Layout
5.2.6 Development Plan
5.3 WeRide
5.3.1 Profile
5.3.2 Core Team
5.3.3 Global Presence
5.3.4 Core Technologies
5.3.5 Development Course
5.3.6 Main Business
5.3.7 Autonomous Driving Operation
5.3.8 Partners
5.3.9 Development Plan
5.4 HoloMatic
5.4.1 Profile
5.4.2 Development Course
5.4.3 Production Layout
5.4.4 Main Products
5.5 Baidu Apollo
5.5.1 Profile
5.5.2 Product Solutions
5.5.3 Autonomous Driving Operation
5.5.4 Development Plan
5.6 UISEE
5.6.1 Profile
5.6.2 Development Course
5.6.3 Product Solutions
5.6.4 Commercialization
5.7 DeepBlue
5.7.1 Profile
5.7.2 Main Products
5.7.3 Intelligent Vehicle Business
5.8 DeepRoute.ai
5.8.1 Profile
5.7.2 Development Course
5.7.3 Technical Solutions
5.7.4 Autonomous Driving Layout
5.7.5 Strategic Cooperation
5.9 AutoX
5.9.1 Profile
5.9.2 Development Course
5.9.3 Main Technical Solutions
5.9.4 Autonomous Driving Deployment
5.9.5 Partners 
5.10 Didi Woya
5.10.1 Profile
5.10.2 Autonomous Driving Layout
5.11 Allride.ai
5.11.1 Profile
5.11.2 Development Course
5.11.3 Autonomous Driving Technology
5.11.4 Autonomous Driving Layout
5.12 QCraft
5.12.1 Profile
5.12.2 Development Course
5.12.3 Main Technologies
5.12.4 Autonomous Driving Commercialization Solutions
 

Automotive DMS (Driver Monitoring System) Research Report, 2019-2020

Automotive DMS Research: DMS installations shoot up, with a year-on-year upsurge of 360% in Q1 2020 DMS (Driver Monitoring System) is bifurcated into active DMS and passive DMS. Passive DMS judges th...

Automotive Infrared Night Vision System Research Report, 2019-2020

Automotive Infrared Night Vision Research: Infrared Thermal Imaging May Handle Extreme Cases Well Infrared radiation consists of electromagnetic waves in the wavelength region from 0.75 μm to 1,000 μ...

Global and China Automotive Gateway Industry Report, 2019-2020

Automotive Gateway Industry Research: Tenfold Improvement in Gateway Performance Breaks the Bottleneck of Software-defined Vehicles. Automotive gateway chip is actually a field with scarcely ever cha...

Automotive Vision Industry Chain Report (II) Binocular and Others

Visual Perception Algorithms Become Crucial Automotive cameras are divided into perception cameras and video cameras, according to Sunny Optical. Perception camera, used for active safety (generally...

Global and China Tire Pressure Monitoring System (TPMS) Industry Report, 2020-2026

TPMS OEM prevails across the world, with its market size reaching 59.2 million units and the installation rate at 64.5% (an increase of 4.9 points from a year ago) in 2019 as TMPS needs to be installe...

Automotive High-precision Positioning Research Report, 2019-2020

High-precision Positioning Research: Competition from Chips, Terminals to Ground-based Augmentation Stations Autonomous driving prompts the use of high-precision positioning technology in the realm o...

Shared Mobility Industry Research--Autonomous Driving Leads Shared Mobility 3.0

The global shared mobility industry is experiencing a hard time. It is since 2019 that shared mobility enterprises have been exposed to financial fragility and have closed down one after another amid ...

Automotive Vision Industry Chain Report 2019-2020 (I): Monocular Vision

Automotive Vision Industry Chain Report 2019-2020 (I): The front-view monocular camera market soared 95.6% year-on-year in 2019 About 23 million cameras were pre-installed in new passenger cars in Ch...

China Automotive Financial Leasing Industry Report, 2020-2026

After ceaseless decline in 2018 and 2019, the Chinese automobile industry ushers in a period of recovery when the consumers are more prudent to buy cars and automobile consumer finance draws more atte...

Autonomous Driving Simulation Industry Chain Report, 2019-2020 (II)

Autonomous Driving Simulation (II): It Turns Out to Be a Battlefield of GiantsAlibaba DAMO Academy unveiled in early 2019 the "Top Ten Technology Trends of 2019", most of which are still credible toda...

Automotive Radar Dismantling and Cost Analysis, 2019-2020

It is in this report that over a dozen of millimeter-wave radar types are studied on design, supply chain and cost, including Continental’s ARS4A, ARS4B, ARS408 and ARS410, Bosch’s LRR4, FR5CP, MRR1PL...

Global and China L4 Autonomous Driving Industry Report, 2019-2020

Giants gain high finance.Progress of L4 autonomous driving is greatly hampered over the recent two years, causing OEMs’ and Tier 1 suppliers’ delay in L4 launches. Yet, the top L4 companies still rais...

Automotive Domain Control Unit (DCU) Industry Report, 2019-2020

Domain control unit shipments will boom in 2021. When the one-to-one correspondence between the growing number of sensors and electronic control units (ECU) leads to underperforming vehicles and adds...

Global and China Automotive Millimeter-wave (MMW) Radar Industry Report, 2019-2020

Millimeter wave radar installations soared by 44.37% year-on-year in 2019 and were available in more scenarios, encroaching on Lidar and ultrasonic. Automotive radar wins popularity and gets increasi...

ADAS and Autonomous Driving Tier 1 Suppliers Report, 2019-2020

Tier 1 suppliers for autonomous driving: Chinese Tier 1 suppliers have not embarked on the actuation layer, and L3 will spread after 2022 Amid the controversy in L3, some media believe that Audi will...

Global and China Automotive Operating System (OS) Industry Report, 2019-2020

With advances in smart cockpit and intelligent driving, and enormous strides of Tesla, OEMs care more about automotive operating system (OS). Yet, it is by no means easy for both new carmakers and tra...

Global and China Low Speed Autonomous Driving Industry Report, 2019-2020

In 2019, low speed autonomous driving market tended to calm down, with more regular pilots but on small scale. In 2020, the COVID-19 pandemic brings new opportunities to low speed autonomous delivery ...

Special Vehicle Autonomous Driving Industry Report, 2019-2020

Autonomous mining vehicle and autonomous sanitation vehicle markets take off. This report highlights progress of autonomous working vehicles in four fields: sanitation, airport, agriculture and minin...

2005- www.researchinchina.com All Rights Reserved 京ICP备05069564号-1 京公网安备1101054484号