DUBLIN, October 27, 2017 /PRNewswire/ --
The "Autonomous Vehicles Land, Water, Air 2017-2037" report has been added to Research and Markets' offering.
This report looks at the whole subject in a critical manner revealing how the electric vehicle business at over $0.7 trillion in 2017 will include many new autonomous forms creating one billion dollar businesses for both the vehicles and their components. On the other hand, it shows how part of this story is the arrival of peak internal combustion engine, peak lead acid battery and peak car within 15 years causing mayhem in the industries involved.
We note that suppliers plan to sell a lot of autonomous cars to private individuals yet 70% of us will live in cities soon where cars, autonomous or not, will be banned or severely dissuaded from entering. We question whether the necessary price increases can stick for private cars but note a host of applications where premium pricing will be no problem at all, such are the benefits.
The report reveals the many very different reasons for adoption of autonomous vehicles in commercial, industrial, military, marine, aerospace and other applications and the very different degree of difficulty in achieving what is needed. Impediments are inspected, from insurance, legal, privacy and multiple road use issues to cost reducing hardware and software and making it more capable. Will the biomimetic approach of minimal sensors and superb sensor fusion software and data management prevail or are we headed for a burgeoning amount of hardware of increasing sophistication?
Which types of electric vehicle land water and air are most promising for autonomy and when? What are the lessons of combining autonomy of navigation, task and energy such as electricity from sun, wind, waves, tide, thermals? Which developers are showing most promise? Where is the money being spent? Which projects will end in tears and where are things on the hype curve today? Why are search and rescue and agriculture such promising applications?
What robot vehicles form a good escape route for car makers seeing car sales collapse? The programmer of the autonomous vehicle may make it act and react in the interests of society as a whole, for example killing the minimum number of people in an accident rather than acting in the interests of any passengers. Which is the right approach? This report addresses the issues with a balanced appraisal of it all.
Key Topics Covered:
1. EXECUTIVE SUMMARY AND CONCLUSIONS
1.1. Autonomy of navigation, task and power
1.2. Levels of autonomy
1.3. Why have autonomy?
1.3.1. Aerospace
1.3.2. Agriculture
1.3.3. Car - taxi - bus
1.3.4. Industrial shipping
1.3.5. Search and rescue
1.3.6. Underwater
1.4. Many autonomous car trials
1.4.1. First-ever public trial of a robo-taxi service
1.5. Autonomy hits sales of cars but not of other vehicles
1.5.1. Increasing hostility to private cars in cities whether autonomous or not
1.6. Convergence of technologies and new challenges
1.6.1. Overview
1.6.2. Legal issues BMW view
1.6.3. Operational challenges
1.6.4. Technical challenges
1.6.5. Ethical challenges
1.6.6. Insurance challenges
1.6.7. US DOT Proving Grounds - January 2017
1.7. Hype curve for autonomy today
1.8. Strength of autonomy purchase propositions
1.9. Terminology
1.10. Autonomy of navigation, task and power: examples
1.10.1. Example: Vinerobot micro EV Europe
1.10.2. MARS boat UK
1.10.3. Seaglider AUV boat USA
1.10.4. US Navy Unmanned Autonomous 'Swarm Boats'
1.11. Technologies of EIVs
1.11.1. EIV technology past, present and concept on land
1.11.2. EIVs technology past, present and concept on and under water
1.11.3. EIV technology past, present and concept in the air
1.11.4. Space exploration
1.12. Technology of autonomy
1.12.1. Land water, air
1.12.2. Typical toolkit for autonomy of on-road vehicles
1.13. The current players in on-road autonomy
1.14. Market forecasts
1.14.1. EV and 48V mild hybrid global forecasts number K 2017-2027
1.14.2. EV and 48V mild hybrid global forecasts $ billion 2017-2027
1.14.3. EV Market Value US$ Billion 2017
1.14.4. EV Market Value US$ Billion 2027
1.14.5. On-road Level 3-5 autonomous vehicles forecasts
1.14.6. Autonomous Underwater Vehicle AUV market 2016-2022
1.14.7. Relative importance of powertrain and autonomy hardware markets 2017-2037
1.14.8. Software in on-road applications 2014-2030
1.14.9. AMoD Demand for autonomous cars 2016-2035
1.14.10. US on-road addressable market
1.14.11. Ten-year market forecasts for all agricultural robots and drones segmented by type and/or function
1.14.12. Autonomous Underwater Vehicle AUV market 2016-2022
1.15. Autonomy roadmap
1.15.1. Autonomy roadmap 2018-2020
1.15.2. Autonomy roadmap 2023-2040
1.15.3. Sensor and allied technology roadmap
1.15.4. EIV technology roadmap 2017-2036
1.16. Mining
1.17. Consolidation of hardware suppliers
1.18. The boat that climbs mountains: vanquisher coming soon
1.19. Ford Motor Co $1 billion investment
1.20. Ultrafast camera for self-driving vehicles and drones
1.21. Some companies involved in autonomous vehicle technology
1.22. World's first autonomous and zero emissions ship
1.23. Estonian electric minibuses
1.24. South Korea driverless electric pods
1.25. UBS forecast for 'robotaxis'
1.26. Autonomous Heavy Rail
2. INTRODUCTION
2.1. Definition and building blocks
2.2. Progress towards full autonomy
2.2.1. Simplifying the environment
2.3. Connectivity and automation reduce fuel consumption
2.4. Level 5 autonomous vehicles
2.5. Autonomous vehicles are best when they are electric
2.6. Benefits of autonomy
2.7. Huge impact of autonomous car as bus is calculated in 2017
2.8. Jaguar Land Rover: Autonomy Insights 2017
3. SOME IMPORTANT APPLICATIONAL SECTORS
3.1. Agricultural Robots and Drones
3.1.1. Ultra precision farming
3.1.2. Transition to swarms of slow cheap, unmanned agricultural robots
3.1.3. Market and technology readiness by agricultural activity
3.2. Autonomous ships
3.3. Autonomous Underwater Vehicles AUV
3.3.1. Why AUVs are necessary
3.3.2. Features
3.3.3. Examples: Seastick
3.3.4. Urashima AUV Japan
3.4. Autonomous inland boats: Roboat project
4. LEVEL 5 AUTONOMOUS VEHICLE SYSTEM TECHNOLOGY
4.1. Degree of difficulty
4.2. Autonomous vehicles in warehousing and logistics
4.3. Autonomy technology overview: land water, air
4.3.1. Examples of technologies
4.3.2. Five basic building blocks.
4.4. Hardware toolkit on land
5. SOFTWARE AND PROCESSOR TECHNOLOGY FOR AUTONOMY
5.1. Mission centric advances
5.1.1. Airware
5.1.2. Skydio
5.1.3. Gateway
5.2. Autonomous vehicle platform: functional diagram for sensing and control
5.3. Processing for fully autonomous vehicles
5.3.1. Overview
5.3.2. Capabilities/limitations
5.3.3. Beyond microcontrollers
5.3.4. System on a Chip (SoC)
5.3.5. Sensor fusion
5.3.6. MCU architectures
5.3.7. Consolidation on the ARM architecture
5.3.8. Open source hardware
5.3.9. Moore's Law for processing
5.3.10. Prices equilibrating
5.3.11. Trends
5.3.12. SBC market
6. LIDAR FOR AUTONOMOUS VEHICLES
6.1. LIDAR for autonomous vehicles
7. AUTONOMOUS ENERGY INDEPENDENT VEHICLES EIV; AEROSPACE LAND, WATER
7.1. End game is energy independent pure electric not dynamic charging
7.2. Electric vehicle powertrain evolution: typical figures expected for cars
7.3. Key enabling technologies by powertrain
7.4. Perpetual drones
7.4.1. Overview
7.4.2. Com-BAT surveillance bat
7.4.3. Solar Ship EIV helium inflatable fixed wing aircraft Canada autonomous, sun alone
7.4.4. Northrop Grumman surveillance airship up for 10 years
7.4.5. Mitre DARPA airship USA
7.4.6. Titan Aerospace UAV USA
7.4.7. Solar Eagle UAV USA
7.4.8. Self assembling autonomous unmanned EIV aircraft Aurora Flight Sciences
7.5. Charge autonomous delivery truck UK
7.6. New Airbus autonomous aircraft November 2016
7.7. Tesla surprises November 2016
7.8. Driverless-vehicle options now include scooters November 2016
7.9. World's first test site for marine autonomous vehicles opens
7.10. IBM and Local Motors shuttle bus that can speak sign language
7.11. Volkswagen's self-driving Sedric
For more information about this report visit https://www.researchandmarkets.com/research/cbj99r/autonomous
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