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市場調查報告書

全球無人駕駛汽車、卡車市場:市場佔有率、策略、預測 2015-2021年

Robot Cars and Trucks: Market Shares, Strategies, and Forecasts, Worldwide, 2015 to 2021

出版商 WinterGreen Research, Inc. 商品編碼 288638
出版日期 內容資訊 英文 413 Pages
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全球無人駕駛汽車、卡車市場:市場佔有率、策略、預測 2015-2021年 Robot Cars and Trucks: Market Shares, Strategies, and Forecasts, Worldwide, 2015 to 2021
出版日期: 2015年03月27日 內容資訊: 英文 413 Pages
簡介

無人駕駛汽車、卡車的商用自動駕駛車輛市場2015年開始上升,預計至2021年增加到8億6,800萬美元。推動市場的要素主要與安全性的提高與汽車個性化的必要性相關聯。

本報告提供全球無人駕駛汽車和卡車的市場相關分析、未來前景、自動駕駛的各種技術和各公司進行開發的產品的說明、各主要企業公司簡介,為您概述為以下內容。

摘要整理

第1章 無人駕駛汽車、卡車市場定義和動態

  • 先進技術
  • 存有法律上的門檻
  • 從城市的移向特大城市
  • 無人駕駛汽車的實行技術

第2章 無人駕駛汽車、卡車市場佔有率與預測

  • 無人駕駛汽車、卡車促進市場成長的要素
  • 無人駕駛汽車、卡車市場佔有率
  • 無人駕駛汽車、卡車市場預測
  • 各地區的無人駕駛汽車、卡車市場區分

第3章 產品說明

  • Tesla
  • Google
  • Uber99
  • Apple
  • IBM/Ford
  • Ford的自動駕駛車
  • Mercedes
  • 日產
  • GM/Cadillac
  • 豐田
  • Volkswagon / Audi / Porsche
  • Volvo
  • BMW
  • 速霸陸
  • 本田汽車
  • Hyundai Genesis的Smart Cruise Control
  • Tata Motors Limited / 的主動車距控制巡航系統
  • GM
  • Chrysler 300 SRT8
  • Kongsberg CORTEX
  • BAE Systems
  • Kairos Autonomi的Pronto4 Retrofitting System
  • Lockheed Martin SMSS
  • General Dynamics的機器人系統

第4章 無人駕駛汽車、卡車的技術

  • 英國的無人駕駛汽車實驗設施
  • MIT的模組化機器人
  • 以魚為啟發的無人駕駛汽車技術
  • 主動車距控制巡航系統 (ACC)
  • 先進的機器人技術:導航、行動及操作
  • 用戶友善的介面
  • 在現場的試驗型機器人的迭代開發
  • Intel的軍用機器人
  • 利用了SuperH家族的日立機器人
  • 機器人和感測器的網路
  • 軍用機器人技術所扮演的角色
  • 奈米碳管無線電
  • 各公司的軍用機器人開發計劃
  • iRobot的技術
  • 機器人技術解決方案的演進
  • 軍用機器人的實行技術
  • MRAP ATV (耐地雷、防伏擊越野車)
  • Intel開發的軍用機器人車輛用積體電路

第5章 無人駕駛汽車、卡車相關企業簡介

  • Apple
  • Allen Vanguard
  • BAE Systems
  • BMW
  • Bosch Group
  • Chrysler/Dodge
  • Daimler AG/Mercedes-Benz
  • ECA Robotics
  • Elbit Systems
  • Evatran Group
  • Ford/Lincoln
  • 富士重工/速霸陸
  • G-NIUS
  • General Dynamics
  • Google
  • GM/Cadillac
  • 本田汽車
  • Hyundai
  • Kairos Autonami
  • Kongsberg
  • Lockheed Martin
  • Mesa Robotics
  • 三菱
  • 日產
  • Qualcomm
  • Tata Motors Limited / Jaguar / Land Rover
  • Tesla
  • Thales Group
  • 豐田/Lexus
  • Uber 396
  • Vecna Technologies
  • Volkswagen
  • Volvo
  • Visteon
  • WiTricity

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目錄
Product Code: SH26294089

Worldwide markets are poised to achieve significant growth as robot cars and trucks permit users to implement automated driving. Fleet vehicles from Uber, Google and similar users are likely to be the early adopter groups.

IBM and Google are sure to be a significant software vendors for all the robot car and truck market participants. IBM has a huge head start with its excellent middleware branded integrated solutions that are hardened and reliable. Google has mindshare and early market success with its early market trials.

As automated process 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.

Robot cars and trucks incrementally add automated process to driving. As software is added to cars and 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 robot 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 robot cars and trucks as the various functions mature and work in the real world.

According to Susan Eustis, team leader for the preparation of the study, "The market for robot car and truck vehicles is anticipated to expand in parallel with the deployment of appropriate roadway controls funded by government programs. The large public investments for robot 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 2020"

The robot 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 robot cars and trucks industry builds on incremental technology roll outs.

Robot car and truck commercial autonomous car market shipments forecasts indicate that markets beginning to develop in 2015 will rise to $868 million by 2021. Growth is a result of various moves toward autonomous vehicles that park themselves, provide automated steering, are used as test vehicles, are used as mapping vehicles, and that provide driver alerts but fall sort of complete robotically operated car vehicles. Market driving forces relate primarily to the need for increased safety and personalization for autos. Car manufacturers are positioning with robot car models to meet demand at the high end. Many robot vehicle car vendors are making automation for personal vehicles and trucks a reality.

WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, electronics.ca, Bloomberg, and Thompson Financial.

WinterGreen Research is positioned to help customers face challenges that define the modern enterprises. The increasingly global nature of science, technology and engineering is a reflection of the implementation of the globally integrated enterprise. Customers trust WinterGreen Research to work alongside them to ensure the success of the participation in a particular market segment.

WinterGreen Research supports various market segment programs; provides trusted technical services to the marketing departments. It carries out accurate market share and forecast analysis services for a range of commercial and government customers globally. These are all vital market research support solutions requiring trust and integrity.

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

Table of Contents

ROBOT CARS AND TRUCKS EXECUTIVE SUMMARY

  • Robot Car and Truck Market Driving Forces
  • Robot Car and Truck Market Shares
  • Robot Car and Truck Market Forecasts

1. ROBOT CARS AND TRUCKS MARKET DEFINITION AND MARKET DYNAMICS

  • 1.1 Advanced Technology
    • 1.1.1 Adaptive Cruise Control
    • 1.1.2 Driver-Assist Technologies
    • 1.1.3 Ford Robotic Auto Control System
  • 1.2 Legal Hurdles Remain
    • 1.2.1 Robot Cars and Trucks Operation
    • 1.2.2 Robot Cars and Trucks Technology Trends
    • 1.2.3 Vehicle Sharing
  • 1.3 Urban Move to Mega Cities
  • 1.4 Robot Car Enabling Technologies
    • 1.4.1 Sensor Processing
    • 1.4.2 Machine Autonomy

2. ROBOT CARS AND TRUCKS MARKET SHARES AND MARKET FORECASTS

  • 2.1 Robot Car and Truck Market Driving Forces
  • 2.2 Robot Car and Truck Market Shares
    • 2.2.1 Google
    • 2.2.2 Google Self-Driving Car
    • 2.2.3 Google Self-Driving Car from Auto Components
    • 2.2.4 First Fully Autonomous Audi expected by 2017
    • 2.2.5 Ford / Lincoln
    • 2.2.6 Lincoln Adaptive Cruise Control
    • 2.2.7 Tesla 58
    • 2.2.8 Jaguar Driverless Cars
    • 2.2.9 IBM 59
    • 2.2.10 IBM / Ford Automotive Vehicle System M2M
    • 2.2.11 Ford Robotically Controlled Vehicles On Test Track
    • 2.2.12 Toyota Production LS 2013 Model Self-Driving Tools Technology
    • 2.2.13 Hyundai Genesis Smart Cruise Control
    • 2.2.14 Nissan
    • 2.2.15 BMW
    • 2.2.16 Daimler AG / Mercedes-Benz Self Driving Car
    • 2.2.17 GM Chevrolet Impala 2015
    • 2.2.18 Kairos Autonami Pronto4
  • 2.3 Robot Car and Truck Market Forecasts
    • 2.3.1 Autonomous Vehicle Integration Software Market
    • 2.3.2 Advanced Autonomous Car Software
    • 2.3.3 Automotive Market Discussion
    • 2.3.4 Commercial Car Adaptive Cruise Control
  • 2.4 Robot Car and Truck Regional Market Segments
    • 2.4.1 Ford North America
    • 2.4.2 Ford South America
    • 2.4.3 Ford Europe
    • 2.4.4 Ford Asia Pacific Africa
    • 2.4.5 Robot Car Regional Analysis

3. ROBOT CARS AND TRUCKS PRODUCT DESCRIPTION

  • 3.1 Tesla
    • 3.1.1 Tesla Dual Motor Model S
    • 3.1.2 Tesla Hardware Safety Features
    • 3.1.3 Tesla Software Safety Features
    • 3.1.4 Tesla Model S
    • 3.1.5 Tesla Driverless Car Features
    • 3.1.6 Tesla Autopilot
    • 3.1.7 Tesla Autopilot Parking
    • 3.1.8 Tesla Safety
  • 3.2 Google
    • 3.2.1 Google in Talks with Ford, Toyota and Volkswagen
    • 3.2.2 Google Self Driving Car
    • 3.2.3 Google Ride Sharing
  • 3.3 Uber99
    • 3.3.1 Uber / Carnegie Mellon Partnership
    • 3.3.2 Uber Endorses Self-Driving Cars for Its Business
    • 3.3.3 Uber Ride Sharing App
  • 3.4 Apple
    • 3.4.1 Apple Testing Auto-Pilot
  • 3.5 IBM / Ford
    • 3.5.1 IBM Addresses The Internet of Things
    • 3.5.2 IBM Works With Ford On Self-Driving Cars
    • 3.5.3 IBM / Ford Automotive Vehicle System M2M
    • 3.5.4 Ford Leveraging IBM Partnership, Using Sensors
    • 3.5.5 IBM Smarter Planet Strategy
  • 3.6 Ford Self Driving Car
    • 3.6.1 Ford Robotic Auto Control System
    • 3.6.2 Ford Adaptive Cruise Control
    • 3.6.3 Ford / Lincoln
    • 3.6.4 Lincoln Adaptive Cruise Control
    • 3.6.5 Lincoln Active Park Assist
    • 3.6.6 Lincoln Lane-Keeping System
    • 3.6.7 Lincoln Intelligent Access with Push-Button Start
    • 3.6.8 Lincoln BLIS® with Cross-Traffic Alert
  • 3.7 Mercedes
    • 3.7.1 Mercedes Self Driving Car Interior
    • 3.7.2 Mercedes-Benz F 015
    • 3.7.3 Mercedes-Benz Leads In Concept Cars: Safety Leads the Research
    • 3.7.4 Daimler Robot Driving Truck
  • 3.8 Nissan
    • 3.8.1 Nissan and NASA Team Up To Build Zero-Emission Driverless Car
    • 3.8.2 Nissan EPORO Robot Car
  • 3.9 GM / Cadillac
  • 3.10 Toyota 138
    • 3.10.1 Toyota Lexus Division Modified Lexus LS Sedan.
    • 3.10.2 Toyota Lexus Adaptive Cruise Control
    • 3.10.3 Toyota: Automated Cars Won't Be Driverless Cars
  • 3.11 Volkswagon / Audi / Porsche
    • 3.11.1 First Fully Autonomous Audi Expected by 2017
    • 3.11.2 Audi Self-driving Car Travels 550 Miles from San Francisco to Las Vegas
    • 3.11.3 Volkswagen
    • 3.11.4 Porsche / Volkswagen
  • 3.12 Volvo 157
    • 3.12.1 Volvo's Self-Parking, Driverless Car
    • 3.12.2 Volvo Mobile App of the iPhone "Park Now" Button
  • 3.13 BMW 165
    • 3.13.1 BMW Partially Automated Driving Functions
    • 3.13.2 BMW Autonomous Car Safety Features
    • 3.13.3 BMW Performance Limits Of Its Driverless Car
    • 3.13.4 BMW's Driverless Cars in China
  • 3.14 Subaru Adaptive Cruise Control
  • 3.15 Honda
    • 3.15.1 Honda Self-Driving Car in Detroit
  • 3.16 Hyundai Genesis Smart Cruise Control
  • 3.17 Tata Motors Limited / Jaguar Adaptive Cruise Control
    • 3.17.1 Jaguar Driverless Cars
    • 3.17.2 Tata Motors Limited / Jaguar / Land Rover
    • 3.17.3 Land Rover Smart Driver Assistance Technologies
    • 3.17.4 Land Rover Reverse Traffic Detection
    • 3.17.5 Land Rover Electric Power-Assisted Steering with Park Assist
    • 3.17.6 Land Rover Powerful Braking With Lightweight Brembo Calipers
    • 3.17.7 Land Rover Enhanced Active Safety Technologies
    • 3.17.8 Land Rover Engineered for Maximum Occupant Protection
    • 3.17.9 Driverless Cars Shaped by Land Rover Technology
  • 3.18 GM 2015
    • 3.18.1 GM Safety Technology
    • 3.18.2 Buick LaCrosse 2015
  • 3.19 Chrysler 300 SRT8
    • 3.19.1 Chrysler Technology Recognizes When Things Slow Down
    • 3.19.2 Chrysler Backup, Safety & Security
    • 3.19.3 Dodge Durango 2014
  • 3.20 Kongsberg CORTEX
  • 3.21 BAE Systems Land Vehicles Given a Brain of their Own
  • 3.22 Kairos Autonami Pronto4 Retrofitting System for Existing Vehicles
    • 3.22.1 Kairos Pronto4™ Agnostic Autonomy System Features
    • 3.22.2 Kairos ProntoMimic Software Suite
  • 3.23 Lockheed Martin SMSS
    • 3.23.1 Lockheed Martin SMSS User-Proven Autonomy
    • 3.23.2 Lockheed Martin SMSS Unmanned Capabilities
  • 3.24 General Dynamics Robotic Systems
    • 3.24.1 General Dynamics Mobile Detection Assessment and Response System (MDARS)
    • 3.24.2 General Dynamics Tactical Autonomous Combat - Chassis (TAC - C)

4. ROBOT CARS AND TRUCKS TECHNOLOGY

  • 4.1 Robot Car Test Facility in UK
  • 4.2 MIT Demonstrates Swarm Of Modular Robots That Self-Assemble Into Larger Shapes
  • 4.3 Robotic Car Fish-Inspired Technology
  • 4.4 Adaptive Cruise Control (ACC)
    • 4.4.1 Distance Measured By A Small Radar Unit
    • 4.4.2 ACC Technology
    • 4.4.3 Adaptive Cruise Control
    • 4.4.4 Lexus_IS250_ACC Adaptive Cruise Control
  • 4.5 Advanced Robot Technology: Navigation, Mobility, And Manipulation
    • 4.5.1 Robot Intelligence Systems
    • 4.5.2 Real-World, Dynamic Sensing
  • 4.6 User-Friendly Interfaces
    • 4.6.1 Tightly-Integrated, Electromechanical Robot Design
  • 4.7 Field Based Robotics Iterative Development
    • 4.7.1 Next-Generation Products Leverage Model
    • 4.7.2 Modular Robot Structure And Control
    • 4.7.3 Lattice Architectures
    • 4.7.4 Chain / Tree Architectures
    • 4.7.5 Deterministic Reconfiguration
    • 4.7.6 Stochastic Reconfiguration
    • 4.7.7 Modular Robotic Systems
  • 4.8 Intel Military Robot Cultivating Collaborations
  • 4.9 Hitachi Configuration Of Robots Using The SuperH Family
    • 4.9.1 Hitachi Concept of MMU And Logic Space
    • 4.9.2 Robotic Use of Solid State Thin Film Lithium-Ion Batteries
  • 4.10 Network Of Robots And Sensors
    • 4.10.1 Sensor Networks Part Of Research Agenda
    • 4.10.2 Light Sensing
    • 4.10.3 Acceleration Sensing
    • 4.10.4 Chemical Sensing
  • 4.11 Military Robot Technology Functions
  • 4.12 Carbon Nanotube Radio
  • 4.13 Military Robot Funded Programs
    • 4.13.1 XM1216 Small Unmanned Ground Vehicle (SROBOT CARS)
    • 4.13.2 UUV Sub-Pillars
    • 4.13.3 Hovering Autonomous Underwater Vehicle (HAUV)
    • 4.13.4 Alliant
    • 4.13.5 ATSP is a Government-Wide Contracting Vehicle
    • 4.13.6 Quick, Efficient Contracting Vehicle
    • 4.13.7 Facilitates Technology And Insertion Into Fielded Systems
    • 4.13.8 Access to All Northrop Grumman Sectors
  • 4.14 iRobot Technology
    • 4.14.1 iRobot AWARE Robot Intelligence Systems
    • 4.14.2 iRobot Real-World, Dynamic Sensing.
    • 4.14.3 iRobot User-Friendly Interface
    • 4.14.4 iRobot Tightly-Integrated Electromechanical Design.
  • 4.15 Evolution Robotics Technology Solutions
  • 4.16 Military Robot Technology Enablers
    • 4.16.1 Military Robot Logistics
  • 4.17 MRAP ATV: Requirements and Contenders
  • 4.18 Military Robot Enabling Technology
  • 4.19 Intel Integrated Circuit Evidence-Based Innovation
    • 4.19.1 Open Robotic Control Software
    • 4.19.2 Military Robot Key Technology

5. ROBOT CARS AND TRUCKS COMPANY DESCRIPTION

  • 5.1 Apple
  • 5.2 Allen Vanguard
    • 5.2.1 Allen Vanguard Rapid Development
  • 5.3 BAE Systems
  • 5.4 BMW
    • 5.4.1 BMW Strategy
    • 5.4.2 BMW Revenue
  • 5.5 Bosch Group
    • 5.5.1 Evatran Group Plugless Sales Go Live with Bosch
    • 5.5.2 Bosch Business Overview
    • 5.5.3 Bosch Group Reorganized Its Business Sectors
    • 5.1.1 Bosch Consumer Goods sales
    • 5.1.2 Bosch Automotive Technology sales
    • 5.1.3 Bosch Industrial Technology Sales
    • 5.1.4 Bosch Group
    • 5.1.5 Bosch Healthcare Supports Independent Living At Home
    • 5.1.6 Bosch Security Systems Division
  • 5.6 Chrysler / Dodge
    • 5.6.1 Chrysler Revenue
  • 5.7 Daimler AG/Mercedes-Benz
    • 5.7.1 Daimler AG Revenue
  • 5.8 ECA Robotics
  • 5.9 Elbit Systems
    • 5.9.1 Elbit Systems Principal Market Environment
    • 5.9.2 Elbit Systems
    • 5.9.3 Elbit Systems Principal Market Environment
  • 5.10 Evatran Group
  • 5.11 Ford / Lincoln
    • 5.11.1 Ford Business
    • 5.11.2 Ford Motor Vehicle Fuel Economy
    • 5.11.3 Ford Revenue
  • 5.12 Fuji Heavy Industries / Subaru
    • 5.12.1 Subaru Automotive Business
    • 5.12.2 Subaru of America
  • 5.13 G-NIUS
  • 5.14 General Dynamics
    • 5.14.1 Sequester Mechanism
    • 5.14.2 General Dynamics Revenue
    • 5.14.3 General Dynamics Robotic Systems
    • 5.14.4 General Dynamics Robotic Systems (GDRS) Vision
    • 5.14.5 General Dynamics Robotic Systems (GDRS) Manufacturing
    • 5.14.6 General Dynamics Autonomous Land And Air Vehicle Development
  • 5.15 Google Self-Driving Car
    • 5.15.1 Google Cars Address Vast Majority Of Vehicle Accidents Due To Human Error
    • 5.15.2 Google Business
    • 5.1.7 Google Corporate
    • 5.15.3 Google Search
    • 5.1.8 Google Revenue
    • 5.1.9 Google Revenues by Segment and Geography
    • 4.19.3 Google Fourth Quarter and Fiscal Year 2014 Revenue
  • 5.16 GM / Cadillac
    • 5.16.1 GM Business
    • 5.16.2 GM Strategy
    • 5.16.3 GM Revenue
    • 4.19.4 GM / Buick
  • 5.17 Honda 341
  • 5.18 Hyundai
  • 5.19 Kairos Autonami
    • 5.19.1 Kairos Autonomi Autonomy ROI
    • 5.19.2 Kairos Autonomi Upgrades Robot Conversion Kit
  • 5.20 Kongsberg
  • 5.21 Lockheed Martin
    • 5.21.1 Lockheed Martin Symphony Improvised Explosive Device Jammer Systems
    • 5.21.2 Lockheed Martin Aeronautics Revenue
    • 5.21.3 Lockheed Martin Electronic Systems
    • 5.21.4 Lockheed Martin
  • 5.22 Mesa Robotics
    • 5.22.1 Systems Development Division of Mesa Associates
    • 5.22.2 Mesa Robotics Affordable Robotic Solutions
    • 5.22.3 Mesa Robotics Revenue
  • 5.23 Mitsubishi
  • 5.24 Nissan 364
    • 5.24.1 Nissan Revenue
  • 5.25 Qualcomm
    • 5.25.1 Qualcomm Business
    • 5.25.2 QMC Offers Comprehensive Chipset Solutions
    • 5.25.3 Qualcomm Government Technologies
    • 5.25.4 Qualcomm Internet Services
    • 5.25.5 Qualcomm Ventures
    • 5.25.6 Qualcomm / WiPower
    • 5.25.7 Qualcomm Standardization Capabilities
    • 5.25.8 Qualcomm Regulatory and Compliance Capabilities
  • 5.26 Tata Motors Limited / Jaguar / Land Rover
    • 5.26.1 Jaguar Land Rover
  • 5.27 Tesla
    • 5.27.1 Tesla's Mission Is To Accelerate The World's Transition To Sustainable Transport
    • 5.27.2 Tesla Autopilot
  • 5.31 Thales Group
    • 5.30.1 Thales Core Businesses
    • 5.30.2 Thales: - A Global Player
    • 5.30.4 Thales Key Technology Domains
    • 5.30.5 Thales Open Research
    • 5.30.6 Thales Stance on Environment
    • 5.30.7 Thales Product Design
    • 5.30.8 Thales Site Management
    • 5.30.9 Thales Alenia Space Integration Of Service Module For The Fourth ATV
    • 5.30.10 Thales Sonar 'Excels' In Anti-Submarine Warfare Exercise
    • 5.30.11 Thales Group Ground Alerter 10
    • 5.30.12 Thales Group Ground Master 400 (GM 400)
    • 5.30.13 Thales Group Ground Smarter 1000
    • 5.30.14 Thales Group
  • 5.31 Toyota / Lexus
    • 5.31.1 Lexus Division of Toyota Motor Sales
    • 5.31.2 Toyota / Lexus
    • 5.31.3 Toyota
    • 5.31.4 Toyota Avalon Wireless Charging Pad
  • 5.32 Uber 396
  • 5.33 Vecna Technologies
  • 5.34 Volkswagen
    • 5.34.1 Volkswagon Brands
    • 5.34.2 Porsche SE
    • 5.34.3 Porsche SE
    • 5.34.4 Volkswagen / Audi
    • 5.34.5 Audi Gets The Second Driverless Car Permit In Nevada
  • 5.35 Volvo 402
    • 5.35.1 Volvo Revenue
  • 5.36 Visteon
    • 5.36.1 Visteon Revenue
  • 5.37 WiTricity

List of Tables and Figures

  • Table ES-1 Robot Cars and Trucks Market Driving Forces
  • Table ES-2 Autonomous Vehicle Safety Features Used in Robotic Cars
  • Table ES-3 Leaders in Development of Robot Cars and Trucks
  • Figure ES-4 Robot Commercial Car Market Shipments Forecasts Dollars, Worldwide, 2015-2021
  • Figure 1-1 Ford Robotic Auto Control System
  • Table 1-2 Highly Homogenized Global Car Market Characteristics
  • Table 2-1 Robot Cars and Trucks Market Driving Forces
  • Table 2-2 Autonomous Vehicle Safety Features Used in Robotic Cars
  • Table 2-3 Leaders in Development of Robot Cars and Trucks
  • Figure 2-4 Google Driverless Car
  • Figure 2-5 IBM MessageSight Ford
  • Table 2-6 Toyota Production LS 2013 Model Self-Driving Tools Technology
  • Figure 2-8 Robot Commercial Car Market Shipments Forecasts Dollars, Worldwide, 2015-2021
  • Table 2-9 Robot Car Shipments and Installed Base, Dollars and Units, Worldwide, 2015-2021
  • Table 2-10 Autonomous Vehicle Integration Software Components
  • Figure 2- Children Look Inside A Self-Driving Car At Google Headquarters in Mountain View, Calif., on April 25, 2013
  • Table 2-13 Automotive Industry Market Factors
  • Table 2-14 Automotive Industry Limits On The Ability To Reduce Costs
  • Figure 2-21 Military Ground Robot Regional Market Segments, Dollars, 2012
  • Table 2-22 Military Ground Robot Regional Market Segments, 2012
  • Figure 3-1 Tesla Dual Motor Model S and Autopilot
  • Table 3-2 Tesla Hardware Safety Features
  • Table 3-3 Tesla Software Safety Features
  • Figure 3-4 Tesla Model S
  • Figure 3-5 Tesla Model S All-Wheel Drive Dual Motor
  • Figure 3-6 Tesla Autopilot
  • Figure 3-7 Google Self Driving Car
  • Table 3-8 IBM Robot Car EcoSystem Positioning
  • Table 3-9 Value of IBM Advanced Analytics And Optimization
  • Figure 3-10 IBM MessageSight Ford
  • Figure 3-11 Ford Self Driving Car
  • Figure 3-12 Ford Robotic Auto Control System
  • Figure 3-13 Ford Robotic Auto Control System
  • Figure 3-14 Mercedes Self Driving Car Open Interior
  • Figure 3-15 Mercedes Self Driving Car Interior
  • Figure 3-16 Mercedes-Benz F 015
  • Figure 3-17 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 3-18 Mercedes-Benz Self Driving Car Interior
  • Figure 3-19 Mercedes-Benz Self Driving Car Impact-Protected Installation Of F-Cell Plug-In Hybrid Drive System
  • Figure 3-20 Nissan Self Driving Car
  • Figure 3-21 Nissan Zero-Emission Driverless Car
  • Figure 3-22 GM Cadillac Self Driving Car
  • Figure 3-23 GM EN-V Hands Free Driverless Auto
  • Figure 3-24 GM EN-V Hands Free Driverless Auto
  • Figure 3-25 2013 Red Sonic General Motors Auto Driving
  • Figure 3-26 Toyota Self Driving Car
  • Figure 3-27 Toyota Self Driving Car Wheel
  • Table 3-28 Toyota Autonomous Driving Tools
  • Table 3-29 Toyota Production LS Model Self-Driving Tools Technology
  • Figure 3-30 Lexus Adaptive Cruise Control
  • Figure 3-31 Lexus_IS250_ACC Adaptive Cruise Control
  • Figure 3-32 Audi Connect
  • Figure 3-33 Volkswagen Self Driving Car
  • Figure 3-34 Volkswagen TAP Autopilot
  • Table 3-35 Volkswagen TAP Automatic Driving Support Technology
  • Figure 3-36 Porsche Adaptive Cruise Control Illustrated
  • Figure 3-37 Volvo Self Driving Car Functions
  • Figure 3-38 Volvo Self Driving Car Auto Parking
  • Table 3-39 Technologies Needed To Equip A Car With A Self-Parking Capability
  • Figure 3-40 Volvo Self Driving Vehicle
  • Figure 3-41 High End Volvo With Safety Package
  • Figure 3-42 BMW Self Driving Car
  • Figure 3-43 BMW Autonomous Driving Race Car
  • Figure 3-44 BMW Autonomous Car GPS Systems
  • Table 3-45 Subaru Adaptive Cruise Control Features
  • Figure 3-46 Honda Car Safety Adapter Systems
  • Table 3-47 Hyundai Genesis Smart Cruise Control
  • Figure 3-48 Land Rover Range Rover
  • Figure 3-49 Land Rover Range Rover
  • Table 3-50 Land Rover Terrain Response® Functions
  • Figure 3-51 Land Rover Range Rover
  • Table 3-52 Land Rover Enhanced Active Safety Technologies
  • Figure 3-53 Land Rover Range Rover
  • Figure 3-54 LandRover Velodyne LIDAR Sensor
  • Figure 3-55 GM Self Driving Cadillac
  • Table 3-56 GM Safety Technology
  • Figure 3-57 Buick LaCrosse 2015
  • Figure 3-58 Chrysler Adaptive Cruise Control
  • Figure 3-59 Dodge Durango 2015
  • Figure 3-60 Kongsberg CORTEX
  • Figure 3-61 BAE Systems Remote Military Land Vehicles
  • Figure 3-62 Kairos Autonami Pronto4 Retrofitting System for Existing Vehicles or Vessels
  • Figure 3-63 Kairos Pronto4™ Agnostic Autonomy System
  • Table 3-64 Kairos Pronto4™ Agnostic Autonomy Sub-Systems
  • Table 3-65 Kairos ProntoMimic Software Suite Features
  • Figure 3-66 Lockheed Martin SMSS
  • Table 3-67 General Dynamics GDRS Functions Needed To Perform A Variety Of Military, Government And Civilian Missions
  • Table 3-68 General Dynamics Autonomous Systems Implementation Functions
  • Table 3-69 General Dynamics Military Robots Functions
  • Table 3-70 General Dynamics Military Robot Positioning
  • Table 3-71 General Dynamics Military Warfighter Support
  • Table 3-72 General Dynamics MDARS Features:
  • Figure 3-73 General Dynamics Tactical Autonomous Combat - Chassis (TAC - C)
  • Figure 3-74 General Dynamics Tactical Autonomous Combat TAC-C Capabilities
  • Figure 3-75 General Dynamics Tactical Autonomous Combat TAC-C Vehicle Specifications
  • Figure 4-1 Nissan Fish Behavior Rules Model for Robot Car
  • Table 4-2 Fish Behavior Rules
  • Table 4-3 Automakers With Adaptive Cruise Control (Mid-2015)
  • Figure 4-4 Hitachi Modular Robot Configuration
  • Table 4-5 Military Robot Key Product Technology Factors
  • Table 4-6 Military Robot Technology Functions
  • Table 4-6 (Continued) Military Robot Technology Functions
  • Table 4-7 Missions (UUV "Sub-Pillars") In Priority Order
  • Figure 4-8 UUVMP Vision
  • Table 4-9 Alliant Features:
  • Table 4-9 (Continued) Alliant Features:
  • Figure 4-10 iRobot / Evolution Robotics Technology Solutions
  • Figure 4-11 Military Robot Technology Enablers
  • Table 4-12 Military Robot Technology Characteristics
  • Figure 4-13 Military Ground Robot Ground Domain Technology Enablers
  • Table 4-14 US Army Military Robot Logistics Positioning
  • Figure 4-15 Robot Systems Associated with Force Application Description
  • Figure 4-16 Robotic Performance Characteristics
  • Table 4-17 Military Robotics Enabling Technology
  • TABLE 4-18 Military Robots Development Challenges
  • Table 4-19 Military Robot Integrated Circuit-Based Innovation Functions
  • Table 4-20 Military Robot Key Technology
  • Table 4-21 Robot Communications Key Technology
  • Table 4-22 Military Robot Key Navigation Technologies
  • Figure 5-1 Allen Vanguard Threat Intelligence
  • Table 5-2 Allen-Vanguard R&D Team Mandate:
  • Table 5-3 Allen-Vanguard Scientific And Engineering Topics Researched and Developed
  • Table 5-4 Allen-Vanguard R&D Fundamental Research
  • Table 5-5 Allen-Vanguard R&D Engineers And Scientists Comprehensive Research
  • Table 5-6 BAE Systems Standards
  • Figure 5-7 BAE Systems Revenue in Defense Market
  • Table 5-8 ECA Robotics Range Of Products
  • Table 5-9 Elbit Systems Activities:
  • Table 5-10 Elbit Systems Activities:
  • Table 5-11 Factors Impacting Ford Profitability Of Business
  • Table 5-12 G-NIUS Unmanned Ground Systems (UGS) Solutions
  • Table 5-13 Google Autonomous Vehicles Technology
  • Table 5-14 GM Market Positioning
  • Figure 5-15 Lockheed Martin Segment Positioning
  • Table 5-16 Lockheed Martin's operating units
  • Figure 5-17 Lockheed Martin Aeronautics Segment Positioning
  • Figure 5-18 Lockheed Martin Aeronautics Segment Portfolio
  • Figure 5-19 Lockheed Martin Aeronautics C130 Worldwide Airlift
  • Figure 5-20 Lockheed Martin Aeronautics Falcon Fighter
  • Figure 5-21 Lockheed Martin Electronic Systems Portfolio
  • Table 5-22 Mesa Robotics Technical Experience
  • Table 5-23 Thales Key Technology Domains
  • Figure 5-24 Thales Group Ground Master 400
  • Table 5-25 Thales Group GROUND Master 400 Key Features:
  • Table 5-26 Thales Group Ground Smarter 1000 Key Features:
  • Figure 5-27 Thales Critical Decision Chain
  • Table 5-28 Toyota / Lexus Advanced Active Safety Research Vehicle Features
  • Figure 5-29 Toyota Qi Wireless Charging
  • Figure 5-30 Volkswagon Brands
  • Figure 5-31 WiTricity Technology
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