LiDAR for Cars and Light Trucks Market 2018 Global Analysis By Key Players – Pioneer, Valeo, Continental, Velodyne, 3DEO, MIT Lincoln Lab

WiseGuyReports.Com Publish a New Market Research Report On –“ LiDAR for Cars and Light Trucks Market 2018 Global Analysis By Key Players – Pioneer, Valeo, Continental, Velodyne, 3DEO, MIT Lincoln Lab”.

Description:-

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.

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Companies Profiled
Market Leaders

• Pioneer
• Valeo
• Continental
• Velodyne
• 3DEO
• MIT Lincoln Lab

Market Participants
• 3d Laser Mapping Specialists, Airborne Lidar And Imagery
• Avent Lidar Technology
• AImotive
• Alphabet, Waymo: Google
• Google / Intel Target Driverless Cars with LiDAR
• Waymo Deal with Fiat Chrysler Automobiles
• Alps Electric
• Argo AI
• Autoliv
• 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
• Firmatek Llc
• Fiat Chrysler
• Ford
• Ford Argo AI Artificial Intelligence Company
• General Motors
• GM Investment in Lyft
• Geniarp Group
• Geniarp Group / Mosaic 3d
• Geophysical Survey Systems, Inc. (GSSI)
• GMR Group / Geokno India Pvt. Ltd. (India)
• Harris
• Here
• Honda
• Hyundai
• Infineon Technologies AG
• Intel Corporation
• Intel Buys Mobileye
• Intermap Technologies
• Knorr-Bremse Group
• Mesa LiDAR
• MIT Lincoln Lab
• MIT Agreement with Geophysical Survey Systems, Inc. (GSSI)
• Mitsubishi
• Nissan
• NVIDIA
• NXP
• Pix4D
• Pioneer
• Qualcomm
• Quantum Spatial

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Table Of Contents – Major Key Points

1. LiDAR for Cars and Light Trucks Market Definition and Market Dynamics 50
1.1 Light Detection and Ranging (LiDAR) 50
1.2 LiDAR in Cars 52
1.1.1 Airplanes Utilize Radar to Land Themselves 54
1.3 Advanced Technology 57
1.3.1 LiDAR Adaptive Cruise Control 58
1.3.2 Automatic Braking Technologies 60
1.3.3 Automatic Brakes 61
1.3.4 Driver-Assist Technologies 62
1.3.5 Ford TAP Auto Control System 62
1.4 Car Self-Driving Enabling Technologies 65
1.4.1 Sensor Processing 65
1.4.2 Advanced Autonomous Car Software 68
1.4.3 Autonomous Vehicle Software Areas That Need Improvement 69
1.4.4 Collision Detection Machine Vision 70
1.5 LiDAR Car and Truck Challenges 75
1.5.1 Electric Car Ownership Stimulates Customized Speeds and Performance in Autonomous Cars 79

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4. LiDAR Cars and Light Trucks Technology 348
4.1 High Resolution Digital Cameras 348
4.2 Vehicle To Vehicle Communication (V2V) Safety 348
4.2.1 Euro NCAP’s Rating Scheme 351
4.2.2 In the US, Rear-Visibility Requirements 351
4.3 IoT Standards Ecosystem Growth 351
4.3.1 Unified Communication Standards 352
4.4 Standards 353
4.4.1 SAE International 353
4.4.2 U.S. Department of Transportation 353
4.4.3 European Union and European Commission LiDAR Standards 354
4.5 Self-Driving Car Test Facility in UK 354
4.6 MIT Demonstrates Swarm Of Modular Cars That Self-Assemble Into Larger Shapes 355
4.7 LiDAR Single-Photon-Sensitive Imagers 355
4.7.1 Geiger-Mode LiDAR Technology Offers Accurate Data 359
4.7.2 Geiger-Mode LiDAR Technology 359
4.7.3 Geiger-Mode LiDAR 359
4.7.4 3deo® builds upon US Department of Defense investments in Geiger-Mode LiDAR 361
4.7.5 Harris Geiger LiDAR 361
4.7.6 MIT Lincoln Lab Geiger LiDAR Technology 363
4.8 LiDAR Car Fish-Inspired Technology 364
4.9 Adaptive Cruise Control (ACC) 366
4.9.1 Distance Measured By A Small Radar Unit 367
4.9.2 ACC Technology 367
4.9.3 Adaptive Cruise Control 368
4.9.4 Lexus_IS250_ACC Adaptive Cruise Control 369
4.10 Advanced LiDAR Technology: Navigation, Mobility, And Manipulation 371
4.10.1 LiDAR Intelligence Systems 371
4.10.2 Real-World, Dynamic Sensing 372
4.11 User-Friendly Interfaces 372
4.11.1 Tightly-Integrated, Electromechanical LiDAR Design 373
4.11.2 Modular LiDAR Structure And Control 373
4.11.3 Lattice Architectures 374
4.11.4 Chain / Tree Architectures 374
4.11.5 Deterministic Reconfiguration 374
4.11.6 Stochastic Reconfiguration 375
4.11.7 Modular LiDAR Systems 375
4.12 Network of LiDAR Software and Sensors 376
4.12.1 Sensor Networks Part Of Research Agenda 377
4.12.2 Light Sensing 378
4.12.3 Acceleration Sensing 378
4.12.4 Chemical Sensing 378
4.13 Self-Driving Car Software Technology Functions 379
4.14 Intel Integrated Circuit Evidence-Based Innovation 380
4.14.1 Open Control Software 381

5. LiDAR Cars and Trucks Company Descriptions 385
5.1 3d Laser Mapping Specialists, Airborne Lidar And Imagery 385
5.2 Avent Lidar Technology 385
5.3 AImotive 387
5.3.1 AImotive Location Engine 388
5.3.2 AImotive Recognition Engine 388
5.3.3 AImotive Motion Engine 389
5.3.4 AImotive Control Engine 389
5.3.5 Aimotive 389
5.4 Alphabet, Waymo: Google 390
5.4.1 Google / Intel Target Driverless Cars with LiDAR 391
5.4.2 Alphabet Google Positioning 395
5.4.3 Alphabet / Google 396
5.4.4 Alphabet Revenue 399
5.4.5 Google Revenue 400
5.4.6 Alphabet / Waymo 401
5.4.7 Alphabet Waymo LiDAR Car Fleet 401
5.4.8 Waymo Deal with Fiat Chrysler Automobiles 403
5.4.9 Google 406
5.4.10 Google Search Technology 406
5.4.11 Google Recognizes World Is Increasingly Mobile 407
5.4.12 Google LiDAR Car 407
5.4.13 Google Cars Address Vast Majority Of Vehicle Accidents Due To Human Error 410
5.4.14 Google Business 411
5.4.15 Google Corporate 412
5.4.16 Google Search 413

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