Robot Cars and Trucks Market 2015 to 2021 – Industry Analysis, Market Size, Competitive Trends: Radiant Insights, Inc

23.04.2015 Views

Robot Cars and Trucks Market 2015 to 2021 Industry Analysis, Market Size, Competitive Trends: Radiant Insights, Inc WinterGreen Research announces that it has published a new study Robot Cars and Trucks: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to 2021. The 2015 study has 413 pages, 156 tables and figures. 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. Browse Full Report With TOC @ http://www.radiantinsights.com/research/robot-cars-and-trucksmarket 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,

<strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> <strong>Market</strong> <strong>2015</strong> <strong>to</strong> <strong>2021</strong> <strong>–</strong> <strong>Industry</strong> <strong>Analysis</strong>,<br />

<strong>Market</strong> <strong>Size</strong>, <strong>Competitive</strong> <strong>Trends</strong>: <strong>Radiant</strong> <strong>Insights</strong>, <strong>Inc</strong><br />

WinterGreen Research announces that it has published a new study <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong>: <strong>Market</strong><br />

Shares, Strategy, <strong>and</strong> Forecasts, Worldwide, <strong>2015</strong> <strong>to</strong> <strong>2021</strong>. The <strong>2015</strong> study has 413 pages, 156 tables <strong>and</strong><br />

figures. Worldwide markets are poised <strong>to</strong> achieve significant growth as robot cars <strong>and</strong> trucks permit users<br />

<strong>to</strong> implement au<strong>to</strong>mated driving. Fleet vehicles from Uber, Google <strong>and</strong> similar users are likely <strong>to</strong> be the<br />

early adopter groups.<br />

IBM <strong>and</strong> Google are sure <strong>to</strong> be a significant software vendors for all the robot car <strong>and</strong> truck market<br />

participants. IBM has a huge head start with its excellent middleware br<strong>and</strong>ed integrated solutions that are<br />

hardened <strong>and</strong> reliable. Google has mindshare <strong>and</strong> early market success with its early market trials.<br />

Browse Full Report With TOC @ http://www.radiantinsights.com/research/robot-cars-<strong>and</strong>-trucksmarket<br />

As au<strong>to</strong>mated process hits the au<strong>to</strong> industry as a disruptive force, it parallels the au<strong>to</strong>mated piloting of the<br />

airline industry that saw significant labor savings implementation. Au<strong>to</strong>mated vehicle driving can be done<br />

anywhere just by connecting the car <strong>to</strong> integrated adaptive cruise control, adaptive steering <strong>and</strong> braking,<br />

<strong>and</strong> lane assist systems all working off one central processor.<br />

<strong>Robot</strong> cars <strong>and</strong> trucks incrementally add au<strong>to</strong>mated process <strong>to</strong> driving. As software is added <strong>to</strong> cars <strong>and</strong><br />

trucks it is done in concert with modification <strong>to</strong> the steering, breaking, <strong>and</strong> other au<strong>to</strong>motive systems.<br />

Au<strong>to</strong>nomous functions for vehicles are increasingly adopted.<br />

Change is incremental, we do not have fully functioning robot cars immediately, rather, steering, collision<br />

avoidance, parking, test driving, series of camera <strong>and</strong> radar based moni<strong>to</strong>ring systems, lane assist, <strong>and</strong><br />

adaptive cruise control are being implemented, presaging rapid adoption of robot cars <strong>and</strong> trucks as the<br />

various functions mature <strong>and</strong> work in the real world.<br />

According <strong>to</strong> Susan Eustis, team leader for the preparation of the study, “The market for robot car <strong>and</strong><br />

truck vehicles is anticipated <strong>to</strong> exp<strong>and</strong> in parallel with the deployment of appropriate roadway controls<br />

funded by government programs. The large public investments for robot vehicles so far has been for<br />

development of technology that works for military purposes. The extension of this type of au<strong>to</strong>mated<br />

system <strong>to</strong> commercial fleet vehicles will be rapid after 2020”<br />

The robot car designs amalgamate a group of features <strong>to</strong> represent an au<strong>to</strong>mated process solution. These<br />

include the hardware, the software middleware, the steering system, adaptive cruise control, numerous<br />

software applications, an integrated systems approach, <strong>and</strong> related services. Significant investments in<br />

research <strong>and</strong> development are necessary as the emerging robot cars <strong>and</strong> trucks industry builds on<br />

incremental technology roll outs.<br />

<strong>Robot</strong> car <strong>and</strong> truck commercial au<strong>to</strong>nomous car market shipments forecasts indicate that markets<br />

beginning <strong>to</strong> develop in <strong>2015</strong> will rise <strong>to</strong> $868 million by <strong>2021</strong>. Growth is a result of various moves<br />

<strong>to</strong>ward au<strong>to</strong>nomous vehicles that park themselves, provide au<strong>to</strong>mated steering, are used as test vehicles,


are used as mapping vehicles, <strong>and</strong> that provide driver alerts but fall sort of complete robotically operated<br />

car vehicles.<br />

<strong>Market</strong> driving forces relate primarily <strong>to</strong> the need for increased safety <strong>and</strong> personalization for au<strong>to</strong>s. Car<br />

manufacturers are positioning with robot car models <strong>to</strong> meet dem<strong>and</strong> at the high end. Many robot vehicle<br />

car vendors are making au<strong>to</strong>mation for personal vehicles <strong>and</strong> trucks a reality.<br />

Table of Contents<br />

<strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> Executive Summary 30<br />

<strong>Robot</strong> Car <strong>and</strong> Truck <strong>Market</strong> Driving Forces 30<br />

<strong>Robot</strong> Car <strong>and</strong> Truck <strong>Market</strong> Shares 33<br />

<strong>Robot</strong> Car <strong>and</strong> Truck <strong>Market</strong> Forecasts 34<br />

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1. <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> <strong>Market</strong> Definition And <strong>Market</strong> Dynamics 37<br />

1.1 Advanced Technology 37<br />

1.1.1 Adaptive Cruise Control 38<br />

1.1.2 Driver-Assist Technologies 40<br />

1.1.3 Ford <strong>Robot</strong>ic Au<strong>to</strong> Control System 41<br />

1.2 Legal Hurdles Remain 43<br />

1.2.1 <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> Operation 45<br />

1.2.2 <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> Technology <strong>Trends</strong> 45<br />

1.2.3 Vehicle Sharing 45<br />

1.3 Urban Move <strong>to</strong> Mega Cities 46<br />

1.4 <strong>Robot</strong> Car Enabling Technologies 47<br />

1.4.1 Sensor Processing 47<br />

1.4.2 Machine Au<strong>to</strong>nomy 48<br />

2. <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> <strong>Market</strong> Shares And <strong>Market</strong> Forecasts 50


2.1 <strong>Robot</strong> Car <strong>and</strong> Truck <strong>Market</strong> Driving Forces 50<br />

2.2 <strong>Robot</strong> Car <strong>and</strong> Truck <strong>Market</strong> Shares 53<br />

2.2.1 Google 54<br />

2.2.2 Google Self-Driving Car 55<br />

2.2.3 Google Self-Driving Car from Au<strong>to</strong> Components 56<br />

2.2.4 First Fully Au<strong>to</strong>nomous Audi expected by 2017 56<br />

2.2.5 Ford / Lincoln 57<br />

2.2.6 Lincoln Adaptive Cruise Control 57<br />

2.2.7 Tesla 58<br />

2.2.8 Jaguar Driverless <strong>Cars</strong> 58<br />

2.2.9 IBM 59<br />

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2.2.10 IBM / Ford Au<strong>to</strong>motive Vehicle System M2M 59<br />

2.2.11 Ford <strong>Robot</strong>ically Controlled Vehicles On Test Track 60<br />

2.2.12 Toyota Production LS 2013 Model Self-Driving Tools Technology 61<br />

2.2.13 Hyundai Genesis Smart Cruise Control 61<br />

2.2.14 Nissan 62<br />

2.2.15 BMW 62<br />

2.2.16 Daimler AG / Mercedes-Benz Self Driving Car 62<br />

2.2.17 GM Chevrolet Impala <strong>2015</strong> 63<br />

2.2.18 Kairos Au<strong>to</strong>nami Pron<strong>to</strong>4 64<br />

2.3 <strong>Robot</strong> Car <strong>and</strong> Truck <strong>Market</strong> Forecasts 65<br />

2.3.1 Au<strong>to</strong>nomous Vehicle Integration Software <strong>Market</strong> 68<br />

2.3.2 Advanced Au<strong>to</strong>nomous Car Software 70<br />

2.3.3 Au<strong>to</strong>motive <strong>Market</strong> Discussion 72


2.3.4 Commercial Car Adaptive Cruise Control 74<br />

2.4 <strong>Robot</strong> Car <strong>and</strong> Truck Regional <strong>Market</strong> Segments 74<br />

2.4.1 Ford North America 75<br />

2.4.2 Ford South America 78<br />

2.4.3 Ford Europe 78<br />

2.4.4 Ford Asia Pacific Africa 80<br />

2.4.5 <strong>Robot</strong> Car Regional <strong>Analysis</strong> 81<br />

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3. <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> Product Description 83M<br />

3.1 Tesla 83<br />

3.1.1 Tesla Dual Mo<strong>to</strong>r Model S 83<br />

3.1.2 Tesla Hardware Safety Features 85<br />

3.1.3 Tesla Software Safety Features 86<br />

3.1.4 Tesla Model S 87<br />

3.1.5 Tesla Driverless Car Features 89<br />

3.1.6 Tesla Au<strong>to</strong>pilot 91<br />

3.1.7 Tesla Au<strong>to</strong>pilot Parking 92<br />

3.1.8 Tesla Safety 93<br />

3.2 Google 94<br />

3.2.1 Google in Talks with Ford, Toyota <strong>and</strong> Volkswagen 95<br />

3.2.2 Google Self Driving Car 96<br />

3.2.3 Google Ride Sharing 99<br />

3.3 Uber 99<br />

3.3.1 Uber / Carnegie Mellon Partnership 99<br />

3.3.2 Uber Endorses Self-Driving <strong>Cars</strong> for Its Business 100


3.3.3 Uber Ride Sharing App 101<br />

3.4 Apple 101<br />

3.4.1 Apple Testing Au<strong>to</strong>-Pilot 102<br />

3.5 IBM / Ford 103<br />

3.5.1 IBM Addresses The Internet of Things 104<br />

3.5.2 IBM Works With Ford On Self-Driving <strong>Cars</strong> 107<br />

3.5.3 IBM / Ford Au<strong>to</strong>motive Vehicle System M2M 108<br />

3.5.4 Ford Leveraging IBM Partnership, Using Sensors 111<br />

3.5.5 IBM Smarter Planet Strategy 111<br />

3.6 Ford Self Driving Car 112<br />

3.6.1 Ford <strong>Robot</strong>ic Au<strong>to</strong> Control System 113<br />

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3.6.2 Ford Adaptive Cruise Control 115<br />

3.6.3 Ford / Lincoln 117<br />

3.6.4 Lincoln Adaptive Cruise Control 117<br />

3.6.5 Lincoln Active Park Assist 118<br />

3.6.6 Lincoln Lane-Keeping System 118<br />

3.6.7 Lincoln Intelligent Access with Push-But<strong>to</strong>n Start 118<br />

3.6.8 Lincoln BLIS® with Cross-Traffic Alert 118<br />

3.7 Mercedes 119<br />

3.7.1 Mercedes Self Driving Car Interior 120<br />

3.7.2 Mercedes-Benz F 015 123<br />

3.7.3 Mercedes-Benz Leads In Concept <strong>Cars</strong>: Safety Leads the Research 128<br />

3.7.4 Daimler <strong>Robot</strong> Driving Truck 129<br />

3.8 Nissan 130


3.8.1 Nissan <strong>and</strong> NASA Team Up To Build Zero-Emission Driverless Car 132<br />

3.8.2 Nissan EPORO <strong>Robot</strong> Car 133<br />

3.9 GM / Cadillac 134<br />

3.10 Toyota 138<br />

3.10.1 Toyota Lexus Division Modified Lexus LS Sedan. 140<br />

3.10.2 Toyota Lexus Adaptive Cruise Control 144<br />

3.10.3 Toyota: Au<strong>to</strong>mated <strong>Cars</strong> Won‟t Be Driverless <strong>Cars</strong> 146<br />

3.11 Volkswagon / Audi / Porsche 147<br />

3.11.1 First Fully Au<strong>to</strong>nomous Audi Expected by 2017 148<br />

3.11.2 Audi Self-driving Car Travels 550 Miles from San Francisco <strong>to</strong> Las Vegas 149<br />

3.11.3 Volkswagen 151<br />

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3.11.4 Porsche / Volkswagen 154<br />

3.12 Volvo 157<br />

3.12.1 Volvo's Self-Parking, Driverless Car 157<br />

3.12.2 Volvo Mobile App of the iPhone "Park Now" But<strong>to</strong>n 162<br />

3.13 BMW 165<br />

3.13.1 BMW Partially Au<strong>to</strong>mated Driving Functions 166<br />

3.13.2 BMW Au<strong>to</strong>nomous Car Safety Features 167<br />

3.13.3 BMW Performance Limits Of Its Driverless Car 167<br />

3.13.4 BMW's Driverless <strong>Cars</strong> in China 170<br />

3.14 Subaru Adaptive Cruise Control 171<br />

3.15 Honda 174<br />

3.15.1 Honda Self-Driving Car in Detroit 177<br />

3.16 Hyundai Genesis Smart Cruise Control 179


3.17 Tata Mo<strong>to</strong>rs Limited / Jaguar Adaptive Cruise Control 181<br />

3.17.1 Jaguar Driverless <strong>Cars</strong> 181<br />

3.17.2 Tata Mo<strong>to</strong>rs Limited / Jaguar / L<strong>and</strong> Rover 182<br />

3.17.3 L<strong>and</strong> Rover Smart Driver Assistance Technologies 184<br />

3.17.4 L<strong>and</strong> Rover Reverse Traffic Detection 185<br />

3.17.5 L<strong>and</strong> Rover Electric Power-Assisted Steering with Park Assist 186<br />

3.17.6 L<strong>and</strong> Rover Powerful Braking With Lightweight Brembo Calipers 188<br />

3.17.7 L<strong>and</strong> Rover Enhanced Active Safety Technologies 190<br />

3.17.8 L<strong>and</strong> Rover Engineered for Maximum Occupant Protection 192<br />

3.17.9 Driverless <strong>Cars</strong> Shaped by L<strong>and</strong> Rover Technology 194<br />

3.18 GM <strong>2015</strong> 197<br />

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3.18.1 GM Safety Technology 198<br />

3.18.2 Buick LaCrosse <strong>2015</strong> 200<br />

3.19 Chrysler 300 SRT8 201<br />

3.19.1 Chrysler Technology Recognizes When Things Slow Down 202<br />

3.19.2 Chrysler Backup, Safety & Security 202<br />

3.19.3 Dodge Durango 2014 203<br />

3.20 Kongsberg CORTEX 205<br />

3.21 BAE Systems L<strong>and</strong> Vehicles Given a Brain of their Own 206<br />

3.22 Kairos Au<strong>to</strong>nami Pron<strong>to</strong>4 Retrofitting System for Existing Vehicles or Vessels 208<br />

3.22.1 Kairos Pron<strong>to</strong>4 Agnostic Au<strong>to</strong>nomy System Features 210<br />

3.22.2 Kairos Pron<strong>to</strong>Mimic Software Suite 211<br />

3.23 Lockheed Martin SMSS 212<br />

3.23.1 Lockheed Martin SMSS User-Proven Au<strong>to</strong>nomy 213


3.23.2 Lockheed Martin SMSS Unmanned Capabilities 213<br />

3.24 General Dynamics <strong>Robot</strong>ic Systems 214<br />

3.24.1 General Dynamics Mobile Detection Assessment <strong>and</strong> Response System (MDARS) 218<br />

3.24.2 General Dynamics Tactical Au<strong>to</strong>nomous Combat <strong>–</strong> Chassis (TAC - C) 219<br />

4. <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> Technology 222<br />

4.1 <strong>Robot</strong> Car Test Facility in UK 222<br />

4.2 MIT Demonstrates Swarm Of Modular <strong>Robot</strong>s That Self-Assemble In<strong>to</strong> Larger Shapes 222<br />

4.3 <strong>Robot</strong>ic Car Fish-Inspired Technology 223<br />

4.4 Adaptive Cruise Control (ACC) 225<br />

4.4.1 Distance Measured By A Small Radar Unit 226<br />

4.4.2 ACC Technology 226<br />

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4.4.3 Adaptive Cruise Control 227<br />

4.4.4 Lexus_IS250_ACC Adaptive Cruise Control 228<br />

4.5 Advanced <strong>Robot</strong> Technology: Navigation, Mobility, And Manipulation 229<br />

4.5.1 <strong>Robot</strong> Intelligence Systems 230<br />

4.5.2 Real-World, Dynamic Sensing 230<br />

4.6 User-Friendly Interfaces 231<br />

4.6.1 Tightly-Integrated, Electromechanical <strong>Robot</strong> Design 232<br />

4.7 Field Based <strong>Robot</strong>ics Iterative Development 232<br />

4.7.1 Next-Generation Products Leverage Model 233<br />

4.7.2 Modular <strong>Robot</strong> Structure And Control 233<br />

4.7.3 Lattice Architectures 234<br />

4.7.4 Chain / Tree Architectures 234


4.7.5 Deterministic Reconfiguration 235<br />

4.7.6 S<strong>to</strong>chastic Reconfiguration 235<br />

4.7.7 Modular <strong>Robot</strong>ic Systems 235<br />

4.8 Intel Military <strong>Robot</strong> Cultivating Collaborations 236<br />

4.9 Hitachi Configuration Of <strong>Robot</strong>s Using The SuperH Family 236<br />

4.9.1 Hitachi Concept of MMU And Logic Space 238<br />

4.9.2 <strong>Robot</strong>ic Use of Solid State Thin Film Lithium-Ion Batteries 242<br />

4.10 Network Of <strong>Robot</strong>s And Sensors 242<br />

4.10.1 Sensor Networks Part Of Research Agenda 243<br />

4.10.2 Light Sensing 244<br />

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4.10.3 Acceleration Sensing 245<br />

4.10.4 Chemical Sensing 245<br />

4.11 Military <strong>Robot</strong> Technology Functions 245<br />

4.12 Carbon Nanotube Radio 246<br />

4.13 Military <strong>Robot</strong> Funded Programs 247<br />

4.13.1 XM1216 Small Unmanned Ground Vehicle (SROBOT CARS) 248<br />

4.13.2 UUV Sub-Pillars 248<br />

4.13.3 Hovering Au<strong>to</strong>nomous Underwater Vehicle (HAUV) 251<br />

4.13.4 Alliant 251<br />

4.13.5 ATSP is a Government-Wide Contracting Vehicle 252<br />

4.13.6 Quick, Efficient Contracting Vehicle 253<br />

4.13.7 Facilitates Technology And Insertion In<strong>to</strong> Fielded Systems 253<br />

4.13.8 Access <strong>to</strong> All Northrop Grumman Sec<strong>to</strong>rs 253<br />

4.14 i<strong>Robot</strong> Technology 253


4.14.1 i<strong>Robot</strong> AWARE <strong>Robot</strong> Intelligence Systems 254<br />

4.14.2 i<strong>Robot</strong> Real-World, Dynamic Sensing. 254<br />

4.14.3 i<strong>Robot</strong> User-Friendly Interface 255<br />

4.14.4 i<strong>Robot</strong> Tightly-Integrated Electromechanical Design. 255<br />

4.15 Evolution <strong>Robot</strong>ics Technology Solutions 256<br />

4.16 Military <strong>Robot</strong> Technology Enablers 258<br />

4.16.1 Military <strong>Robot</strong> Logistics 260<br />

4.17 MRAP ATV: Requirements <strong>and</strong> Contenders 262<br />

4.18 Military <strong>Robot</strong> Enabling Technology 267<br />

4.19 Intel Integrated Circuit Evidence-Based Innovation 269<br />

4.19.1 Open <strong>Robot</strong>ic Control Software 271<br />

4.19.2 Military <strong>Robot</strong> Key Technology 272<br />

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5. <strong>Robot</strong> <strong>Cars</strong> <strong>and</strong> <strong>Trucks</strong> Company Description 275<br />

5.1 Apple 275<br />

5.2 Allen Vanguard 276<br />

5.2.1 Allen Vanguard Rapid Development 278<br />

5.3 BAE Systems 283<br />

5.4 BMW 286<br />

5.4.1 BMW Strategy 287<br />

5.4.2 BMW Revenue 287<br />

5.5 Bosch Group 290<br />

5.5.1 Evatran Group Plugless Sales Go Live with Bosch 290<br />

5.5.2 Bosch Business Overview 292<br />

5.5.3 Bosch Group Reorganized Its Business Sec<strong>to</strong>rs 292


5.1.1 Bosch Consumer Goods sales 295<br />

5.1.2 Bosch Au<strong>to</strong>motive Technology sales 295<br />

5.1.3 Bosch Industrial Technology Sales 296<br />

5.1.4 Bosch Group 297<br />

5.1.5 Bosch Healthcare Supports Independent Living At Home 297<br />

5.1.6 Bosch Security Systems Division 298<br />

5.6 Chrysler / Dodge 298<br />

5.6.1 Chrysler Revenue 300<br />

5.7 Daimler AG/Mercedes-Benz 300<br />

5.7.1 Daimler AG Revenue 301<br />

5.8 ECA <strong>Robot</strong>ics 302<br />

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5.9 Elbit Systems 304<br />

5.9.1 Elbit Systems Principal <strong>Market</strong> Environment 307<br />

5.9.2 Elbit Systems 308<br />

5.9.3 Elbit Systems Principal <strong>Market</strong> Environment 309<br />

5.10 Evatran Group 311<br />

5.11 Ford / Lincoln 311<br />

5.11.1 Ford Business 313<br />

5.11.2 Ford Mo<strong>to</strong>r Vehicle Fuel Economy 315<br />

5.11.3 Ford Revenue 315<br />

5.12 Fuji Heavy Industries / Subaru 316<br />

5.12.1 Subaru Au<strong>to</strong>motive Business 317<br />

5.12.2 Subaru of America 317<br />

5.13 G-NIUS 318


5.14 General Dynamics 319<br />

5.14.1 Sequester Mechanism 320<br />

5.14.2 General Dynamics Revenue 320<br />

5.14.3 General Dynamics <strong>Robot</strong>ic Systems 322<br />

5.14.4 General Dynamics <strong>Robot</strong>ic Systems (GDRS) Vision 322<br />

5.14.5 General Dynamics <strong>Robot</strong>ic Systems (GDRS) Manufacturing 323<br />

5.14.6 General Dynamics Au<strong>to</strong>nomous L<strong>and</strong> And Air Vehicle Development 323<br />

5.15 Google Self-Driving Car 324<br />

5.15.1 Google <strong>Cars</strong> Address Vast Majority Of Vehicle Accidents Due To Human Error 328<br />

5.15.2 Google Business 328<br />

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5.1.7 Google Corporate 330<br />

5.15.3 Google Search 331<br />

5.1.8 Google Revenue 332<br />

5.1.9 Google Revenues by Segment <strong>and</strong> Geography 333<br />

4.19.3 Google Fourth Quarter <strong>and</strong> Fiscal Year 2014 Revenue 334<br />

5.16 GM / Cadillac 335<br />

5.16.1 GM Business 337<br />

5.16.2 GM Strategy 337<br />

5.16.3 GM Revenue 338<br />

4.19.4 GM / Buick 340<br />

5.17 Honda 341<br />

5.18 Hyundai 344<br />

5.19 Kairos Au<strong>to</strong>nami 345<br />

5.19.1 Kairos Au<strong>to</strong>nomi Au<strong>to</strong>nomy ROI 346


5.19.2 Kairos Au<strong>to</strong>nomi Upgrades <strong>Robot</strong> Conversion Kit 346<br />

5.20 Kongsberg 347<br />

5.21 Lockheed Martin 349<br />

5.21.1 Lockheed Martin Symphony Improvised Explosive Device Jammer Systems 353<br />

5.21.2 Lockheed Martin Aeronautics Revenue 353<br />

5.21.3 Lockheed Martin Electronic Systems 358<br />

5.21.4 Lockheed Martin 359<br />

5.22 Mesa <strong>Robot</strong>ics 359<br />

5.22.1 Systems Development Division of Mesa Associates 359<br />

5.22.2 Mesa <strong>Robot</strong>ics Affordable <strong>Robot</strong>ic Solutions 361<br />

5.22.3 Mesa <strong>Robot</strong>ics Revenue 362<br />

Browse Full Report With TOC @ http://www.radiantinsights.com/research/robot-cars-<strong>and</strong>-trucksmarket<br />

5.23 Mitsubishi 363<br />

5.24 Nissan 364<br />

5.24.1 Nissan Revenue 366<br />

5.25 Qualcomm 367<br />

5.25.1 Qualcomm Business 367<br />

5.25.2 QMC Offers Comprehensive Chipset Solutions 368<br />

5.25.3 Qualcomm Government Technologies 369<br />

5.25.4 Qualcomm Internet Services 370<br />

5.25.5 Qualcomm Ventures 371<br />

5.25.6 Qualcomm / WiPower 373<br />

5.25.7 Qualcomm St<strong>and</strong>ardization Capabilities 374<br />

5.25.8 Qualcomm Regula<strong>to</strong>ry <strong>and</strong> Compliance Capabilities 374<br />

5.26 Tata Mo<strong>to</strong>rs Limited / Jaguar / L<strong>and</strong> Rover 375


5.26.1 Jaguar L<strong>and</strong> Rover 375<br />

5.27 Tesla 375<br />

5.27.1 Tesla‟s Mission Is To Accelerate The World‟s Transition To Sustainable Transport 376<br />

5.27.2 Tesla Au<strong>to</strong>pilot 378<br />

5.31 Thales Group 379<br />

5.30.1 Thales Core Businesses 379<br />

5.30.2 Thales: - A Global Player 380<br />

5.30.4 Thales Key Technology Domains 381<br />

5.30.5 Thales Open Research 382<br />

Browse Full Report With TOC @ http://www.radiantinsights.com/research/robot-cars-<strong>and</strong>-trucksmarket<br />

5.30.6 Thales Stance on Environment 383<br />

5.30.7 Thales Product Design 383<br />

5.30.8 Thales Site Management 383<br />

5.30.9 Thales Alenia Space Integration Of Service Module For The Fourth ATV 384<br />

5.30.10 Thales Sonar „Excels‟ In Anti-Submarine Warfare Exercise 385<br />

5.30.11 Thales Group Ground Alerter 10 386<br />

5.30.12 Thales Group Ground Master 400 (GM 400) 387<br />

5.30.13 Thales Group Ground Smarter 1000 388<br />

5.30.14 Thales Group 389<br />

5.31 Toyota / Lexus 391<br />

5.31.1 Lexus Division of Toyota Mo<strong>to</strong>r Sales 392<br />

5.31.2 Toyota / Lexus 392<br />

5.31.3 Toyota 393<br />

5.31.4 Toyota Avalon Wireless Charging Pad 393<br />

5.32 Uber 396


5.33 Vecna Technologies 396<br />

5.34 Volkswagen 397<br />

5.34.1 Volkswagon Br<strong>and</strong>s 399<br />

5.34.2 Porsche SE 400<br />

5.34.3 Porsche SE 400<br />

5.34.4 Volkswagen / Audi 401<br />

5.34.5 Audi Gets The Second Driverless Car Permit In Nevada 402<br />

5.35 Volvo 402<br />

5.35.1 Volvo Revenue 403<br />

5.36 Visteon 405<br />

5.36.1 Visteon Revenue 406<br />

5.37 WiTricity 408<br />

Browse Full Report With TOC @ http://www.radiantinsights.com/research/robot-cars-<strong>and</strong>-trucksmarket<br />

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