Deerfield Beach, FL -- (SBWire) -- 07/13/2016 --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.
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.
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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.
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Table Of Content Of Robot Cars and Trucks Market:
ROBOT CARS AND TRUCKS EXECUTIVE SUMMARY 30
Robot Car and Truck Market Driving Forces 30
Robot Car and Truck Market Shares 33
Robot Car and Truck Market Forecasts 34
1. ROBOT CARS AND TRUCKS MARKET DEFINITION AND MARKET DYNAMICS37
1.1 Advanced Technology 37
1.1.1 Adaptive Cruise Control 38
1.1.2 Driver-Assist Technologies 40
1.1.3 Ford Robotic Auto Control System 41
1.2 Legal Hurdles Remain 43
1.2.1 Robot Cars and Trucks Operation 45
1.2.2 Robot Cars and Trucks Technology Trends 45
1.2.3 Vehicle Sharing 45
1.3 Urban Move to Mega Cities 46
1.4 Robot Car Enabling Technologies 47
1.4.1 Sensor Processing 47
1.4.2 Machine Autonomy 48
2. ROBOT CARS AND TRUCKS MARKET SHARES AND MARKET FORECASTS 50
2.1 Robot Car and Truck Market Driving Forces 50
2.2 Robot Car and Truck Market Shares 53
2.2.1 Google 54
2.2.2 Google Self-Driving Car 55
2.2.3 Google Self-Driving Car from Auto Components 56
2.2.4 First Fully Autonomous Audi expected by 2017 56
2.2.5 Ford / Lincoln 57
2.2.6 Lincoln Adaptive Cruise Control 57
2.2.7 Tesla58
2.2.8 Jaguar Driverless Cars 58
2.2.9 IBM 59
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Global Robot Cars and Trucks Market 2016: Industry Demand, Segment and Forecast to 2021
Intense Research releases a new market research report "Robot Cars and Trucks: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to 2021" to add to its collection of research reports.