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LiDAR for Cars and Light Trucks: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023


Report Details

LiDAR for Cars and Light Trucks: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

SKU WGAUG181701
Category ICT
Publisher Wintergreen Research
Pages 566
Published Aug-17
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Description

LiDAR for autonomous autos and small trucks /SUVs market at $13 million in 2016 is expected to reach $9.9 billion by 2023. This is in the context of a $3 trillion market for the autonomous vehicles.

Worldwide markets are poised to achieve significant growth as LiDAR sensors for cars and light trucks permit users to implement automated driving. Fleet vehicles from Uber, Google and similar users are likely to be the early adopter groups, creating vehicles that do package delivery and ride sharing. Tesla, Mercedes, and Audi are among the vendors with a leadership position in the personal luxury vehicle artificial intelligence LiDAR car markets. These cars provide performance and cater to individual preference in feature function packages and styling.

LIDAR stands for light detection and ranging which is remote sensing. LIDAR does not require electromagnetic radiation but it requires laser pulses that strike the object and return back to the sensor. The laser pulse measures the distance from the sensor to the object by determining the time between the release to reception of the reflected pulse.

3D scanning market and imaging are expected to propel growth. Major technological developments include emergence of optically extended MEMS scanning mirror for low-altitude and light weight flying platforms. Long term reliability of number of key laser components drive the LiDAR market. Key components include optical coatings, optics, and diodes in vacuum and radiation environment of space.

Every car maker seeks to participate in this Artificial Intelligence (AI) personal vehicle market leveraging LiDAR. The ability to do so depends on implementing next generation technology that is very expensive to get working. Vendors ae seeking to work together to set standards and develop shared modules that provide basic functionality. Cameras, sensors, artificial intelligence software, and LiDAR are among the modules being developed.

Autonomous vehicle technology has the potential to institute major change in personal mobility. Autonomous cars are the next generation of manual cars, poised to provide thrust for a large replacement market. Autonomous vehicles are the base for building personal car services, particularly in large cities. Carmakers and Silicon Valley companies bring different skills to the task of building a Artificial Intelligence (AI) car. LiDAR is a significant sensor that supports autonomous operations. Autonomous vehicles transform the personal transport industry.

Every person who owns a vehicle has a preference on performance. The Tesla has gained recognition for offering a Artificial Intelligence (AI) vehicle, but it is first and foremost a performance vehicle. This characteristic will not change as Artificial Intelligence (AI) vehicles come on the market. People like the customization of features and functions in their car.

This customization aspect of vehicles does not get talked about much, but it is a very important part of the industry. It will not go away just because cars are run by software. From auto racing to personal preference, ever car has its own personality and its own comfort. Performance is part of the package. Every car maker seeks to participate in this Artificial Intelligence (AI) personal vehicle market with a distinctive offering. The ability to have unique appear to customers depends on implementing next generation technology in a manner that works effectively and is relatively inexpensive to implement.

As automated process leveraging LiDAR hits the auto industry as a disruptive force, it parallels the automated piloting of the airline industry that saw significant labor savings implementation. Automated vehicle driving can be done anywhere just by connecting the car to integrated adaptive cruise control, adaptive steering and braking, and lane assist systems all working off one central processor.

Artificial Intelligence (AI) cars and light trucks incrementally add automated process to driving leveraging the LiDAR sensor. As software is added to cars and light trucks it is done in concert with modification to the steering, breaking, and other automotive systems. Autonomous functions for vehicles are increasingly adopted.

Change is incremental, we do not have fully functioning LiDAR navigated Artificial Intelligence (AI) cars immediately, rather, steering, collision avoidance, parking, test driving, series of camera and radar based monitoring systems, lane assist, and adaptive cruise control are being implemented, presaging rapid adoption of Artificial Intelligence (AI) cars and light trucks as the various functions mature and work in the real world.

According to the team leader for the preparation of the study: “The market for LiDAR for cars and light truck vehicles is anticipated to expand in parallel with the deployment of appropriate roadway controls funded by government programs. The large public investments for Artificial Intelligence (AI) vehicles so far has been for development of technology that works for military purposes. The extension of this type of automated system to commercial fleet vehicles will be rapid after 2019.”

The Artificial Intelligence (AI) car designs amalgamate a group of features to represent an automated process solution. These include the hardware, the software middleware, the steering system, adaptive cruise control, numerous software applications, an integrated systems approach, and related services. Significant investments in research and development are necessary as the emerging Artificial Intelligence (AI) cars and light trucks industry builds on incremental technology roll outs.

LiDAR for autonomous autos and small trucks/SUVs market at $13 million in 2016 is expected to reach $9.9 billion by 2023
This is in the context of a $3 trillion market for the autonomous vehicles. LiDAR represents one sensor in the autonomous navigation system. It is used to give more reliability than is available from cameras and other sensors and it compliments those capabilities. Spectacular growth is a result of various moves toward autonomous vehicles that can go across the US by themselves, provide automated navigation, integrated braking and steering. Most auto vendors have gone beyond the testing stage to offer vehicles that have strong navigation capability.

Safety modules are complimented by mapping vehicles that provide navigation. The Tesla and other vehicles provide driver alerts but fall sort of complete Artificial Intelligence (AI).

Market driving forces relate primarily to the need for increased safety and personalization for autos. Car manufacturers are positioning with LiDAR sensors for cars to meet demand at the high end, and in every category of car and light truck. Many Artificial Intelligence (AI) vehicle car vendors are making automation for personal vehicles and light trucks a reality.

This LiDAR car and truck shipment analysis is based on consideration of the metrics for the number of cars shipped, vendor manufacturing and assembly capacity, percent of cars outfitted with automated cruise control, and probable market penetrations of robot cars. Experience of testers using the cars and light trucks is another factor that contributes to development of triangulation regarding market forecasts for the sector.

Key Topics:
Adaptive cruise control
AI machine learning
Auto Artificial Intelligence
Automated driving
Automated parking
Automated vehicles
Automotive
Autonomous functions for vehicles
Autonomous vehicles
Car cameras
Car LiDAR
Car radar
Collision avoidance
In-vehicle compute
Infiniti
Internet of things
Lane assist
Mobileye
Radar based monitoring systems
Robot automotive systems
Robot braking
Robot Cars and Trucks
Robot Parking
Robot steering
Robot test driving
Truck follow me systems


News/Press Release

Table of Content

Executive Summary
LiDAR for Cars and Light Trucks: Market Shares, Market Strategy, and Market Forecasts, Worldwide 2017-2023
LiDAR Cars and Light Trucks Executive Summary
LiDAR Car and Light Truck Market Driving Forces
LiDAR Cars, Light Trucks SUVs, LiDAR Cars / Connected Cars / Transportation
LiDAR Car and Light Truck Market Shares, LiDAR for Car and Light Truck Market Forecasts
1. LiDAR for Cars and Light Trucks Market Definition and Market Dynamics
1.1 Light Detection and Ranging (LiDAR)
1.2 LiDAR in Cars
1.1.1 Airplanes Utilize Radar to Land Themselves
1.3 Advanced Technology
1.3.1 LiDAR Adaptive Cruise Control
1.3.2 Automatic Braking Technologies
1.3.3 Automatic Brakes
1.3.4 Driver-Assist Technologies
1.3.5 Ford TAP Auto Control System
1.4 Car Self-Driving Enabling Technologies
1.4.1 Sensor Processing
1.4.2 Advanced Autonomous Car Software
1.4.3 Autonomous Vehicle Software Areas That Need Improvement
1.4.4 Collision Detection Machine Vision
1.5 LiDAR Car and Truck Challenges
1.5.1 Electric Car Ownership Stimulates Customized Speeds and Performance in Autonomous Cars

2. LiDAR in Personal Vehicles Market Shares and Market Forecasts
2.1 LiDAR Car and Light Truck Market Driving Forces
2.1.1 LiDAR Cars, Light Trucks, SUVs
2.1.2 LiDAR Cars / Connected Cars / Transportation
2.2 LiDAR Car and Light Truck Market Shares
2.2.1 Valeo
2.2.2 Continental AG
2.2.3 Velodyne LIDAR sensor
2.2.4 ZF Friedrichshafen Partner Ibeo Automotive Systems
2.2.5 Pioneer LiDAR
2.2.6 Companies in The Tech Industries Building Auto LiDAR Processors
2.2.7 Intel
2.2.8 Companies in The Automobile Industries Investing in LiDAR Vehicles
2.2.9 Adaptive Cruise Control
2.2.10 Advanced Driver-Assistance Systems (ADAS) Safety-Enhancing Systems
2.2.11 First Fully Autonomous Volkswagen Audi Expected by
2.2.12 Alphabet, Waymo: Google
2.2.13 BMW
2.2.14 BMW And Intel To Bring A Fleet Of AI Cars To The Road By The End Of
2.2.15 BMW and MIT
2.2.16 Daimler AG / Mercedes-Benz Self Driving Car
2.2.17 Mercedes AI
2.2.18 Volvo
2.2.19 Volvo AI Cars on Swedish roads
2.2.20 Tesla Autonomous Driving
2.2.21 Selected Company Investment or Planned Investment in Autonomous Vehicle Technology
2.3 LiDAR for Car and Light Truck Market Forecasts
2.3.1 Artificial Intelligence Integrated Software Systems Auto Market
2.3.2 Artificial Intelligence Integrated Circuit, Sensor, and Component Systems Auto Market
2.3.3 Examples of Sensors Used in Autonomous Vehicles
2.3.4 Auto Processors, Auto Processor
2.3.5 Autonomous Vehicle Car Forecasts
2.3.6 Autonomous Car and Autonomous Light Truck / SUV Shipments and Installed Base
2.3.7 LiDAR Car Unit Analysis and Forecasts
2.3.8 LiDAR Trucks
2.3.9 European Truck Platooning
2.3.10 Autonomous Trucking Platooning Functions
2.3.11 LiDAR Truck Cost
2.4 LiDAR Car and Light Truck Prices
2.5 LiDAR Car and Truck Regional Market Segments
2.5.1 US
2.5.2 China
2.5.3 Valeo in China
2.5.4 India
2.5.5 Wabco LiDAR Regional Participation
2.5.6 Ford North America
2.5.7 LiDAR Car Regional Analysis
2.5.8 Japan's Leaders Want To Make Tokyo A LiDAR City For 2020 Olympics
2.5.9 Autonomous Vehicle Market Forecasts By Region
2.5.10 Self-Driving Military Vehicle Regional Market Segments, Dollars

3. LiDAR Cars and Trucks Product Description
3.1 Selected LiDAR Companies
3.2 MIT Lincoln Lab
3.2.1 MIT Lincoln Lab Has The Best LiDAR in the World
3.2.2 MIT Lincoln Laboratory Understands the LiDAR Technology It Provides
3.2.3 MIT Lincoln Lab Single-Photon-Sensitive Imagers
3.2.4 MIT Agreement with Geophysical Survey Systems, Inc. (GSSI) on LiDAR
3.2.5 How the MIT Lincoln Labs LiDAR System Works
3.2.6 MIT LiDAR
3.2.7 MIT Lincoln Laboratory Localizing Ground-Penetrating Radar
3.2.8 MIT Lincoln Labs LGPR's Main Component
3.2.9 Self-Driving Cars Utilize Ground-Penetrating Radar
3.2.10 MIT Lincoln Laboratory- Microchip Laser Geiger-Mode Avalanche-Photodiode Detector (Gmapd) Array For Single Photon Counting And Ranging
3.2.11 Geiger-Mode Imager: Single-Photon Detection & Timing
3.3 3DEO
3.3.1 3DEO Lidar
3.4 Continental AG
3.4.1 Continental AG Multipurpose Processing Platform
3.5 Valeo SA
3.5.1 Valeo Technologically Innovative SCALA
3.5.2 Valeo Low-Cost Solid-State LiDAR
3.5.3 Valeo to Supply LiDAR for Audi A8 in
3.6 LeddarTech LiDAR Technology
3.7 Velodyne LiDAR Sensor
3.7.1 Land Rover LiDAR Technology for Driverless Cars
3.8 Leica Geosystems Ag
3.9 ZF Friedrichshafen and Partner Ibeo for Automotive Systems
3.10 Vecna Technologies
3.11 Garmin LiDAR-Lite v3
3.12 Scanse
3.13 Nvidia
3.14 Pioneer
3.15 Tesla Model S
3.15.1 Tesla Motors Computer-Assisted Mode Car Involved in Fatal Crash while Driving Autonomously
3.15.2 Tesla Autopilot
3.15.3 Tesla AI Autopilot Parking
3.16 Velodyne LiDAR Used by Alphabet Waymo Self Driving Car
3.16.1 Waymo AI Takes Over Driving
3.17 Apple
3.17.1 Apple Testing LiDAR Auto-Pilot
3.17.2 Apple Self-Driving Car Testing
3.18 Amazon
3.19 Toyota
3.19.1 Toyota Lexus Adaptive Cruise Control
3.20 Volkswagon / Audi / Porsche
3.20.1 Valeo LiDAR on First Fully Autonomous Audi Comes in
3.20.2 Audi Driverless Car Travels 550 Miles from San Francisco to Las Vegas
3.20.3 Volkswagen
3.21 Softbank
3.21.1 Denso, a Leading Global Supplier Of Advanced Automotive Technology
3.21.2 Softbank Arm Processor Has Protections Against Random Errors
3.21.3 SoftBank CEO Masayoshi Son Sees 1 Trillion Devices for Internet of Things
3.21.4 SoftBank Sees Massive MIMO as Key Part of Its 5G Project
3.22 Intel AI Sensor Processor
3.23 Intel / Mobileye
3.24 Ford Using Velodyne LiDAR in Self Driving Car
3.25 Chinese Search Giant Baidu along with Ford Invests in Self-Driving Technology with $150 million in Velodyne
3.26 Daimler / Mercedes
3.26.1 Daimler Luminar
3.26.2 Daimler Working on Autonomous Vehicle Mapping with HERE
3.26.3 Mercedes Vehicle to Vehicle Communication
3.26.4 Mercedes Lets The Human Do The Thinking And Leaves The Driving To The Computer
3.26.5 Mercedes Self Driving Car Interior
3.26.6 Mercedes-Benz F
3.26.7 Mercedes-Benz Leads In Concept Cars: Safety Leads the Research
3.26.8 Daimler LiDAR Truck
3.27 Bosch and Daimler / Mercedes-Benz
3.28 Nissan
3.28.1 Nissan and NASA To Build Zero-Emission Driverless Car
3.28.2 Nissan EPORO LiDAR Car
3.29 / GM / Cadillac
3.29.1 GM Self Driving Cadillac
3.29.2 GM Safety Technology
3.29.3 Buick LaCrosse
3.29.4 GM Short-Range Communications Allows GM Cars To Use Alps Electric Radar Effectively
3.30 Volvo
3.30.1 Volvo's LiDAR Technology Struggling to Identify Kangaroos In The Road
3.30.2 Volvo's Self-Parking, Driverless Car
3.30.3 Volvo Mobile App of the iPhone "Park Now" Button
3.31 BMW
3.31.1 BMW Partially Automated Driving Functions
3.31.2 BMW Autonomous Car Safety Features
3.31.3 BMW Performance Limits Of Its Driverless Car
3.31.4 BMW's Driverless Cars in China
3.32 Subaru Adaptive Cruise Control
3.33 Honda
3.33.1 Honda LiDAR Car in Detroit
3.34 Hyundai Genesis Smart Cruise Control
3.35 Tata Motors Limited / Jaguar Adaptive Cruise Control
3.35.1 Driverless Cars Shaped by Land Rover Technology
3.35.2 Velodyne LIDAR sensor
3.35.3 Jaguar Driverless Cars
3.35.4 Tata Motors Limited / Jaguar / Land Rover
3.35.5 Land Rover Smart Driver Assistance Technologies
3.35.6 Land Rover Reverse Traffic Detection
3.35.7 Land Rover Electric Power-Assisted Steering with Park Assist
3.35.8 Land Rover Powerful Braking With Lightweight Brembo Calipers
3.35.9 Land Rover Enhanced Active Safety Technologies
3.35.10 Driverless Cars Shaped by Land Rover Technology
3.36 Chrysler 300 SRT8
3.36.1 Chrysler Technology Recognizes When Things Slow Down
3.37 Texas Instruments Advanced Driver Assistance Systems (ADAS)
3.37.1 Texas Instrument Camera Capability for ADAS
3.37.2 TI ADAS Radar Support
3.37.3 TI ADAS Ultrasound Support
3.37.4 TI ADAS Full System Portfolio

4. LiDAR Cars and Light Trucks Technology
4.1 High Resolution Digital Cameras
4.2 Vehicle To Vehicle Communication (V2V) Safety
4.2.1 Euro NCAP’s Rating Scheme
4.2.2 In the US, Rear-Visibility Requirements
4.3 IoT Standards Ecosystem Growth
4.3.1 Unified Communication Standards
4.4 Standards
4.4.1 SAE International
4.4.2 U.S. Department of Transportation
4.4.3 European Union and European Commission LiDAR Standards
4.5 Self-Driving Car Test Facility in UK
4.6 MIT Demonstrates Swarm Of Modular Cars That Self-Assemble Into Larger Shapes
4.7 LiDAR Single-Photon-Sensitive Imagers
4.7.1 Geiger-Mode LiDAR Technology Offers Accurate Data
4.7.2 Geiger-Mode LiDAR Technology
4.7.3 Geiger-Mode LiDAR
4.7.4 3deo® builds upon US Department of Defense investments in Geiger-Mode LiDAR
4.7.5 Harris Geiger LiDAR
4.7.6 MIT Lincoln Lab Geiger LiDAR Technology
4.8 LiDAR Car Fish-Inspired Technology
4.9 Adaptive Cruise Control (ACC)
4.9.1 Distance Measured By A Small Radar Unit
4.9.2 ACC Technology
4.9.3 Adaptive Cruise Control
4.9.4 Lexus_IS250_ACC Adaptive Cruise Control
4.10 Advanced LiDAR Technology: Navigation, Mobility, And Manipulation
4.10.1 LiDAR Intelligence Systems
4.10.2 Real-World, Dynamic Sensing
4.11 User-Friendly Interfaces
4.11.1 Tightly-Integrated, Electromechanical LiDAR Design
4.11.2 Modular LiDAR Structure And Control
4.11.3 Lattice Architectures
4.11.4 Chain / Tree Architectures
4.11.5 Deterministic Reconfiguration
4.11.6 Stochastic Reconfiguration
4.11.7 Modular LiDAR Systems
4.12 Network of LiDAR Software and Sensors
4.12.1 Sensor Networks Part Of Research Agenda
4.12.2 Light Sensing
4.12.3 Acceleration Sensing
4.12.4 Chemical Sensing
4.13 Self-Driving Car Software Technology Functions
4.14 Intel Integrated Circuit Evidence-Based Innovation
4.14.1 Open Control Software
4.14.2 LiDAR Key Technology

5. LiDAR Cars and Trucks Company Descriptions
5.1 3D Laser Mapping Specialists, Airborne Lidar And Imagery
5.2 Avent Lidar Technology
5.3 AImotive
5.3.1 AImotive Location Engine
5.3.2 AImotive Recognition Engine
5.3.3 AImotive Motion Engine
5.3.4 AImotive Control Engine
5.3.5 Aimotive
5.4 Alphabet, Waymo: Google
5.4.1 Google / Intel Target Driverless Cars with LiDAR
5.4.2 Alphabet Google Positioning
5.4.3 Alphabet / Google
5.4.4 Alphabet Revenue
5.4.5 Google Revenue
5.4.6 Alphabet / Waymo
5.4.7 Alphabet Waymo LiDAR Car Fleet
5.4.8 Waymo Deal with Fiat Chrysler Automobiles
5.4.9 Google
5.4.10 Google Search Technology
5.4.11 Google Recognizes World Is Increasingly Mobile
5.4.12 Google LiDAR Car
5.4.13 Google Cars Address Vast Majority Of Vehicle Accidents Due To Human Error
5.4.14 Google Business
5.4.15 Google Corporate
5.4.16 Google Search
5.5 Alps Electric
5.3 Argo AI
5.4 Autoliv
5.6 -Beijing Beike Technology Co., Ltd (isurestar) (China)
5.5 BMW
5.7.1 BMW Strategy
5.7.2 BMW Revenue
5.8 Bosch Group
5.8.1 Bosch Deepfield Robotics
5.8.2 Bosch Business Overview
5.8.3 Bosch Group Reorganized Its Business Sectors
5.8.4 Bosch Group
5.7 Continental
5.9 Daimler AG/Mercedes-Benz
5.9.1 Daimler Mobility
5.9.2 Daimler Autonomous Vehicles
5.9.3 Daimler Shared Services
5.10 Delphi Automotive
5.10.1 Delphi Adaptive Cruise Control
5.8 Denso
5.9 DigitalWorld Mapping
5.11 Eaton
5.12 ECA LiDAR
5.10 Faro Technologies
5.10.1 Faro Technologies Global Offices
5.10.2 Faro Technologies Acquires MWF-Technology GmbH
5.10.3 Faro Q1 2017 Financial Results
5.11 Firmatek Llc
5.13 Fiat Chrysler
5.13.1 Chrysler / Dodge
5.14 Ford
5.14.1 Ford Pickup
5.14.2 Ford Argo AI Artificial Intelligence Company
5.14.3 Argo AI Joins with Ford’s Autonomous Vehicle Software Development Effort
5.14.4 Ford Argo AI
5.14.5 Ford Investments And Partnerships To Help With Autonomous Vehicle Development
5.14.6 Ford Continuing To Chase Automotive Market Volume
5.14.7 Ford Business
5.14.8 Ford Motor Vehicle Fuel Economy
5.14.9 Ford Revenue
5.15 General Motors
5.15.1 General Motors Positioning
5.15.2 GM European Business Exit
5.15.3 General Motors (GM) Acquired Cruise Automation
5.15.4 GM Investment in Lyft
5.15.5 GM
5.15.6 GM Chevrolet Impala
5.15.7 General Motors (GM) Redefining Itself
5.15.8 GM Business
5.15.9 GM Strategy
5.12 Geniarp Group
5.12.1 Geniarp Group / Mosaic 3d
5.13 Geophysical Survey Systems, Inc. (GSSI)
5.14 GMR Group / Geokno India Pvt. Ltd. (India)
5.14.1 Geokno StreetMapper Mobile Mapping System
5.15 Harris
5.15.1 Harris Geiger-mode LiDAR
5.16 Here
5.17 Honda
5.18 Hyundai
5.18.1 Hyundai Autonomous Vehicle Uses Olympus Digital Camera and Maps
5.19 Infineon Technologies AG
5.19.1 Infineon Automotive
5.20 Intel Corporation
5.20.1 Intel Buys Mobileye
5.20.2 Intel Acquires Mobileye
5.20.3 Intel / Mobileye
5.20.4 Intel Company Strategy
5.20.5 Intel In The Internet Of Things Market Segment
5.20.6 Intel Competitive Advantages
5.16 Intermap Technologies Corp
5.21 Knorr-Bremse Group
5.21.1 Knorr-Bremse Leading Player In Electronic Controls And Driver Assistance Systems
5.17 Leica Geosystems Ag
5.17.1 Leica ALS80 Airborne Topographic LiDAR Sensor
5.22 Mesa LiDAR
5.23 MIT Lincoln Lab
5.23.1 MIT Lincoln Lab Single-Photon-Sensitive Imagers
5.23.2 MIT Lincoln Lab
5.23.3 MIT Lincoln Lab Single-Photon-Sensitive Imagers
5.23.4 MIT Agreement with Geophysical Survey Systems, Inc. (GSSI)
5.24 Mitsubishi
5.25 Nissan
5.26 NVIDIA
5.26.1 Nvidia Revenue
5.27 NXP
5.28 Pix4D
5.29 Pioneer
5.30 Qualcomm
5.30.1 Qualcomm Business
5.30.2 QMC Offers Comprehensive Chipset Solutions
5.30.3 Qualcomm Standardization Capabilities
5.30.4 Qualcomm Regulatory and Compliance Capabilities
5.30.5 Qualcomm (QCOM, Tech30) Acquires NXP Semiconductors (NXPI
5.31 Quantum Spatial, Inc.
5.31.1 Quantum Spatial (Aerometric, Inc.) (U.S.)
5.32 Renishaw Plc
5.32.1 Dynascan at Kisimul Castle, Scotland
5.33 Riegl Laser Measurement Systems GmbH (Austria)
5.33.1 Riegl USA
5.34 Scanese
5.35 Siemens and Infineon LiDAR
5.36 Softbank
5.36.1 Softbank Arm
5.36.2 Softbank Personal Brain “IBM Watson”
5.53 Tesla
5.53.1 Tesla’s Mission Is To Accelerate The World’s Transition To Sustainable Transport
5.53.2 Tesla Autopilot
5.18 Toyota / Lexus
5.18.1 Toyota / Lexus
5.19 Uber
5.19.1 Uber
5.19.2 Uber Revenue
5.20 Valeo
5.36.3 Valeo Acquisition of FTE
5.36.4 Valeo
5.21 Vecna Technologies
5.37 Velodyne LIDAR sensor
5.22 Volkswagen
5.22.1 Volkswagon Brands
5.22.2 Porsche SE
5.22.3 Porsche SE
5.22.4 Volkswagen / Audi
5.22.5 Audi Gets The Second Driverless Car Permit In Nevada
5.23 Volvo
5.24 Visteon
5.38 YellowScan (France)
5.25 ZF
5.25.1 ZF Swarm Intelligence
5.25.2 ZF Friedrichshafen AG
5.26 ZTE
5.26.1 ZTE Demonstrates Smart NB-IoT solutions
5.39 Selected LiDAR Companies
5.27 Selected Self-Driving Vehicle Companies
5.27.1 List of Companies Examined For Ranking by ADAS Revenues

6. About

7. Research Methodology

List of Figures

List of Figures
Figure 1. Sensor and Computing Configurations for Cars Driving Themselves
Figure 2. LiDAR Cars and Trucks Market Driving Forces
Figure 3. Autonomous Vehicle Safety Features Used in LiDAR Cars
Figure 4. LiDAR for Self-Driving Cars and Light Trucks
Figure 5. LiDAR Key Components
Figure 6. LiDAR for Autonomous Car and Autonomous Light Truck / SUV Shipments Forecasts Dollars, Worldwide, 2017-2023
Figure 7. Short Range LiDAR Mapping Benefits For Autonomous Vehicles
Figure 8. Daimler E-Class is World’s First Production Car To Be Issued A Test License For Autonomous Driving
Figure 9. Ford Auto Control System
Figure 10. Autonomous Vehicle Integration Software Components
Figure 11. Advanced Autonomous Car Software Features
Figure 12. Collision Detection Machine Vision System For Law Enforcement
Figure 13. Collision Detection Machine Vision System Components Features for Law Enforcement
Figure 14. Intel Mobileye Law Enforcement Agency Clients:
Figure 15. LiDAR Car and Truck Challenges
Figure 16. LiDAR Car and Truck Mapping and Navigation Challenges
Figure 17. Challenges Met and Upon Encountering Need The Driver To Take Over
Figure 18. LiDAR Car and Truck Human Factors
Figure 19. Sensor and Computing Configurations for Cars Driving Themselves
Figure 20. LiDAR Cars and Trucks Market Driving Forces
Figure 21. Autonomous Vehicle Safety Features Used in LiDAR Cars
Figure 22. LiDAR for Self-Driving Cars and Light Trucks
Figure 23. LiDAR for Autonomous Vehicles
Figure 24. Valeo Scala LiDAR
Figure 25. Artificial Intelligence IC and Component Auto and ADAS Module Market Shares, Dollars, Worldwide
Figure 26. Artificial Intelligence IC and Component Auto and ADAS Module Market Shares, Dollars, Worldwide
Figure 28. LiDAR Cars and Light Trucks on the Road, Worldwide, 2016 Chart
Figure 29. LiDAR Cars and Light Trucks on the Road, Worldwide
Figure 30. LiDAR Car Level 2 Autonomous Vehicle Market Shares, Number of Vehicles on Road, Worldwide, 2016
Figure 31. List of Cars with Collision Avoidance Features
Figure 32. Collision Avoidance Systems Market Shares, Units, Installed Worldwide
Figure 33. Selected Leaders in Development of AI Cars and Trucks
Figure 34. Selected Large Company AI Car Partnerships
Figure 35. Large Company Self-Driving Car Acquisitions
Figure 36. Large Company AI Car Leveraging IoT
Figure 37. Mobileye Intel Automotive Market Access Features
Figure 38. Mercedes Intelligent Drive Level 2 Autonomous Car
Figure 39. Selected Company Investment or Planned Investment in Autonomous Vehicle Technology, Market Shares Dollars, Worldwide, 2017
Figure 40. LiDAR Key Components
Figure 41. LiDAR for Autonomous Car and Autonomous Light Truck / SUV Shipments Forecasts Dollars, Worldwide, 2017-2023
Figure 42. LiDAR for Autos and Light Trucks / SUVs Market, Dollars, Shipments, Worldwide, 2017-2023
Figure 43. LiDAR for Autos and Light Trucks / SUVs Market, Unit Shipments, Worldwide, 2017-2023
Figure 44. LiDAR for Autos and Light Trucks / SUVs Market, Markets for Autonomous Vehicles, Units and Dollars, Shipments, Worldwide, 2017-2023
Figure 45. Challenges in the LiDAR market
Figure 46. Artificial Intelligence Integrated Software Systems Auto Market Units and Dollars, Shipments, Worldwide, 2017-2023
Figure 47. Artificial Intelligence Integrated Circuit, Sensor, and Component Systems Auto Market, Units and Dollars, Shipments, Worldwide, 2017-2023
Figure 48. Examples of Sensors Used in Autonomous Vehicles
Figure 49. Typical Auto Sensor
Figure 50. Autonomous Car and Light Truck / SUV Market Forecasts, Units, Worldwide, 2017-2023
Figure 51. Total Manual and Autonomous Car and Light Truck Shipments, Market Forecasts, Units and Percent Autonomous of Total Shipments, Worldwide, 2017-2023
Figure 52. Autonomous Car and Autonomous Light Truck / SUV Shipments Base Market Forecasts Dollars, Worldwide, 2017-2023
Figure 53. Autonomous Car and Autonomous Light Truck / SUV Shipments Market Forecasts, Dollars, Worldwide, 2017-2023
Figure 54. Autonomous Car and Autonomous Light Truck / SUV Shipments Market Forecasts, Units, Worldwide, 2017-2023
Figure 55. Autonomous Car and Autonomous Light Truck / SUV Shipments and Installed Base, Market Forecasts Dollars and Units, Worldwide, 2017-2023
Figure 56. Autonomous Car and Autonomous Light Truck / SUV Shipments and on the Road, Small, Mid-Size, Luxury, and Light Truck / SUV Market Forecasts, Level 2 and Level 4 Autonomous Personal Vehicles, Units, Worldwide, 2017-2023
Figure 57. Autonomous Car and Autonomous Light Truck / SUV Shipments and on the Road, Small, Mid-Size, Luxury, and Light Truck / SUV Market Forecasts, Level 2 and Level 4 Autonomous Personal Vehicles, Dollars, Worldwide, 2017-2023
Figure 58. Autonomous Car and Autonomous Light Truck / SUV Shipments and Installed Base, Small, Mid-Size, Luxury, and Light Truck / SUV Market Forecasts, Percent, Worldwide, 2017-2023
Figure 59. Autonomous Car and Autonomous Light Truck / SUV Shipments and on the Road, Small, Mid-Size, Luxury, and Light Truck / SUV Market Forecasts, Level 2 and Level 4 Autonomous Personal Vehicles, Worldwide, 2017-2023
Figure 60. Automated Driving Building Blocks Supporting Market Growth
Figure 61. Automated Driving Features
Figure 62. LiDAR Trucks In a Line on the Highway
Figure 63. Autonomous Trucking Platooning Functions
Figure 64. Artificial Intelligence Car Regional Market Segments, Dollars
Figure 65. Artificial Intelligence Car and Light Truck Regional Market Segments
Figure 66. Chinese ADAS Market Participants
Figure 67. Chinese ADAS Market Segments by Provinces
Figure 68. Self-Driving Military Vehicle Regional Market Segments, Dollars
Figure 69. Self-Driving Military Regional Market Segments
Figure 70. Selected LiDAR Companies
Figure 71. Three-Dimensional Image Acquired by the Lincoln Laboratory Airborne Ladar Imaging Research Testbed (ALIRT) flash LiDAR system
Figure 72. MIT Lincoln Labs Flash LADAR System And Technology Showing The Foliage Penetration Capability
Figure 73. MIT Lincoln Laboratory Localizing Ground-Penetrating Radar System
Figure 74. MIT Lincoln Laboratory Operational Physics of Geiger-Mode APD Arrays
Figure 75. 3DEO 3-Dimensional Electro Optic Imaging Customers
Figure 76. 3DEO Lidar Types
Figure 78. Continental LiDAR Multi Function Camera with LiDAR Sensor Module
Figure 79. Continental LiDAR Multi-Function Camera with LiDAR Sensor Holistic Machine Human Interface
Figure 80. Valeo SCALA® Laser Scanner
Figure 81. Leica DragonEye Oblique Topographic LiDAR Sensor
Figure 82. Garmin LiDAR-Lite v3
Figure 83. Garmin LIDAR-Lite v3 Specifications and Features
Figure 84. Scanse LiDAR Specifications
Figure 85. Nvidia Auto Artificial Intelligence Processor
Figure 86. Nvidia Next Generation High-Speed Interconnect Technology
Figure 87. Nvidia Tesla V100 Artificial Intelligence Metrics
Figure 88. Tesla Electric Vehicle
Figure 89. Tesla Autopilot
Figure 90. Amazon Alexa Self-Driving Software Automotive Partners
Figure 91. Amazon Autonomous Delivery Vehicle
Figure 92. Toyota Self Driving Car
Figure 93. Lexus Adaptive Cruise Control
Figure 94. Lexus_IS250_ACC Adaptive Cruise Control
Figure 95. Audi Connect
Figure 96. Volkswagen Self Driving Car
Figure 97. Intel Compute
Figure 98. Ford LiDAR Car
Figure 99. Mercedes LiDAR truck
Figure 100. Mercedes LiDAR Truck Will Pull To One Side To Let A Firetruck Pass
Figure 101. Mercedes LiDAR Vehicle
Figure 102. Mercedes Self Driving Car Open Interior
Figure 103. Mercedes Self Driving Car Interior
Figure 104. Mercedes-Benz F 015
Figure 105. Mercedes Self Driving Car Vision Is To Raise Comfort And Luxury To A New Level By Offering Maximum Of Space And A Lounge Character
Figure 106. Mercedes-Benz Self Driving Car Interior
Figure 107. Mercedes-Benz Self Driving Car Impact-Protected Installation Of F-Cell Plug-In Hybrid Drive System
Figure 108. Nissan Self Driving Car
Figure 109. Nissan Zero-Emission Driverless Car
Figure 110. GM Self Driving Cadillac
Figure 111. GM Safety Technology
Figure 112. Buick LaCrosse LiDAR Vehicle
Figure 113. GM Cadillac Self Driving Car
Figure 114. GM EN-V Hands Free Driverless Auto
Figure 115. GM EN-V Hands Free Driverless Auto
Figure 116. General Motors LiDAR Auto
Figure 117. Self-Driven Volvo SUV Owned And Operated By Uber Technologies Flipped On Its Side After A Collision
Figure 118. Volvo Self Driving Car Functions
Figure 119. Volvo Self Driving Car Auto Parking
Figure 120. Technologies Needed To Equip A Car With A Self-Parking Capability
Figure 121. Volvo Self Driving Vehicle
Figure 122. High End Volvo With Safety Package
Figure 123. BMW Open Mobility Cloud Processors And A Platform Support Third-Party Partner Applications
Figure 124. BMW Self Driving Car
Figure 125. Partnership Among BMW Group, Intel and Mobileye To Work On Fully Automated Driving
Figure 126. BMW Autonomous Driving Race Car
Figure 127. BMW Autonomous Car GPS Systems
Figure 128. Subaru LiDAR Car
Figure 129. Subaru Adaptive Cruise Control Features
Figure 130. Honda Civic comes with ADAS
Figure 131. Honda Car Safety Adapter Systems
Figure 132. Hyundai All-Electric Ioniq
Figure 133. Hyundai All-Electric Ioniq
Figure 134. Hyundai Genesis Advanced Safety Features, Lane Departure Warning System (LDWS) and Smart Cruise Control (SCC)
Figure 135. Hyundai Genesis Smart Cruise Control
Figure 136. Tata Driverless Car
Figure 137. Land Rover Range Rover
Figure 138. Land Rover Range Rover
Figure 139. Land Rover Terrain Response® Functions
Figure 140. Land Rover Range Rover
Figure 141. Land Rover Enhanced Active Safety Technologies
Figure 142. Land Rover Range Rover
Figure 143. LandRover Velodyne LIDAR Sensor
Figure 144. Fiat Chrysler Semi-Autonomous Electric Vehicle Designed For Millennials With Families Functions
Figure 145. TI ADAS Solutions Targeted Applications
Figure 146. TI ADAS Camera Solutions Key Benefits
Figure 147. Texas Instrument Camera Capability for ADAS
Figure 148. TI ADAS Radar Support
Figure 149. TI ADAS Ultrasound Support
Figure 150. TI ADAS Full System Portfolio
Figure 151. Sensors Underlying Technology
Figure 152. Levels of Driving Situation Autonomy Simulated for Testing
Figure 153. Autonomous Car Pilot Programs and Testing Locations
Figure 154. Unified Communication Standards
Figure 155. Three-dimensional image acquired by the Lincoln Laboratory Airborne Ladar Imaging Research Testbed (ALIRT) flash LADAR system. The colors indicate relative heights above ground; red = highest; blue = lowest.
Figure 156. LiDAR Single-Photon-Sensitive Pixel
Figure 157. MIT Lincoln Laboratory LiDAR Image of the Grand Canyon
Figure 158. Geiger and Linear GmAPD LiDAR System Comparison
Figure 159. Harris Linear LiDAR
Figure 160. Harris Geiger LiDAR
Figure 165. Integrated Circuit-Based Innovative Navigation Mapping Functions
Figure 167. LiDAR Communications Key Technology
Figure 168. Military LiDAR Key Navigation Technologies
Figure 169. Avent Lidar Technology
Figure 170. Avent Lidar Technology Features
Figure 171. AImotive Neural Networks aiDrive Software Engines Responsible For Specific Key Component Of Self-Driving Technology
Figure 172. Waymo 3 Million Miles Self Driven
Figure 173. Waymo LiDAR Car on Public Roads
Figure 174. Alphabet Waymo Early Riders Self Driving Van in Arizona
Figure 175. Alphabet Strategic Positioning
Figure 176. Google LiDAR Car Locations
Figure 177. Google Autonomous Vehicles Technology
Figure 178. Alps Electric Core Technology
Figure 179. Bosch Business Highlights
Figure 180. Bosch Positioning for Growth
Figure 181. Continental LiDAR
Figure 182. Products from Continental: Assistance Systems
Figure 183. Daimler AG Brands
Figure 184. Daimler LiDAR Positioning Autonomous, Connected, Shared Services
Figure 185. Daimler Mercedes Electric Vehicle
Figure 186. Daimler Mercedes Connected Vehicle
Figure 187. Daimler Mercedes Electric Truck
Figure 188. Daimler Rapidly Forging Ahead With The Development Of Autonomous Vehicles
Figure 189. Daimler Mercedes Autonomous Vehicles
Figure 190. My Taxi and Hailo Create Taxi E-Hailing Company for Europe
Figure 191. Daimler Revenue by Region
Figure 192. Denso Regional Presence
Figure 193. Denso Automatic Lane Change
Figure 194. Eaton Industrial Clutches and Brakes
Figure 195. ECA LiDAR Range Of Products
Figure 196. Faro Technologies Global Presence
Figure 197. Factors Impacting Ford Profitability Of Business
Figure 198. GM Market Positioning
Figure 199. Geniarp Group LiDAR technology Mapping Images
Figure 200. Geniarp Group Mosaic Lidar System
Figure 201. Harris Geiger-Mode LiDAR Images Make Buildings Look Like Legos
Figure 202. Harris Geospatial LiDAR Image, Trees and Homes Distinctive
Figure 203. Harris’ Geiger-mode LiDAR data and value-added products Functions:
Figure 204. Mobileye Provides Intel Access to the Automotive Market
Figure 205. Mobileye Intel Automotive Market Access Features
Figure 206. Leica ALS80 Airborne Topographic LiDAR Sensor For Large Area And Corridor Mapping.
Figure 207. Nvidia Interconnect and Memory Parameters
Figure 208. NXP Worldwide Locations
Figure 209. Pix4D LiDAR Imaging
Figure 210. QMC Technology Chipset Solutions For Smart Connected Devices
Figure 211. Quantum Spatial LiDAR Applications
Figure 212. Renishaw Marine Surveying Applications
Figure 213. Dynascan at Kisimul Castle, Scotland Coastal Surveying Features
Figure 214. Renishaw Dynascan Mapping
Figure 215. RIEGL Performance Laser Scanners
Figure 216. Riegl USA Miniaturized LiDAR Sensor for Unmanned Laser Scanning
Figure 217. Scanse LLC Sweep Laser Scanning Devices
Figure 218. Siemens Automotive Traffic Control Systems
Figure 219. Softbank Brightstar Specialized Wireless Industry Wholesaler Functions
Figure 220. Toyota / Lexus Advanced Active Safety Research Vehicle Features
Figure 221. Valeo Regional Market Presence
Figure 222. Valeo 9-Point Outperformance in Asia Q1 2017
Figure 223. Valeo OEM Sales by Production Region
Figure 224. Valeo Comfort and Driving Assistance
Figure 225. Valeo Revenue by Segment
Figure 226. Driverless Cars Shaped by Land Rover Technology
Figure 227. Volkswagon Brands
Figure 228. YellowScan Lidar
Figure 229. YellowScan LiDAR Specifications:
Figure 230. YellowScan LiDAR Sensor Benefits:
Figure 231. YellowScan Mapper Functions:
Figure 232. ZF NVIDIA DRIVE PX 2 AI Computing Platform
Figure 233. Selected LiDAR Companies

Companies Profiled

3D Laser Mapping Specialists
3DEO
AImotive
Airborne Lidar and Imagery
Alphabet
Alps Electric
Argo AI
Autoliv
Automobiles
Avent Lidar Technology
Beijing Beike Technology Co. Ltd (isurestar) (China)
BMW
Bosch Group
Continental
Daimler AG/Mercedes-Benz
Delphi Automotive
Denso
DigitalWorld Mapping
Eaton
ECA LiDAR
Faro Technologies
Fiat Chrysler
Firmatek Llc
Ford
Ford Argo AI Artificial Intelligence Company
General Motors
Geniarp Group
Geniarp Group / Mosaic 3D
Geophysical Survey Systems, Inc. (GSSI)
GM Investment in Lyft
GMR Group / Geokno India Pvt. Ltd. (India)
Google / Intel
Harris
Here
Honda
Hyundai
Infineon Technologies AG
Intel Buys Mobileye
Intel Corporation
Intermap Technologies
Knorr-Bremse Group
Mesa LiDAR
MIT Lincoln Lab
Mitsubishi
Nissan
NVIDIA
NXP
Pioneer
Pioneer
Pix4D
Qualcomm
Quantum Spatial (Aerometric, Inc.) (U.S.)
Renishaw Plc
Riegl Laser Measurement Systems GmbH (Austria)/Riegl USA
Survey Systems, Inc. (GSSI)
Valeo
Velodyne
Waymo

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