Autonomous Vehicle From University Project to Commercialisation

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Autonomous Vehicle From University Project to Commercialisation por Mind Map: Autonomous Vehicle From University Project to Commercialisation

1. Levels of Vehicle Automation (Based on SAE J3016)

1.1. Level 1

1.1.1. Driver Assistance: Feel Off

1.2. Level 2

1.2.1. Partial Automation : Hands-off

1.3. Level 3

1.3.1. Conditional Automation: Eyes-off

1.4. Level 4

1.4.1. High Automation: Attention-off

1.5. Level 5

1.5.1. Full Automation: Driverless

2. Autonomous Vehicle : How it works?

2.1. Articulating radars

2.1.1. Scan a wide field to detect vehicles, pedestrians, objects

2.2. Cameras

2.2.1. Provide a 360-degree view of surroundings

2.3. Vehicle location

2.3.1. High-definition maps are created using lidar scans of roads

2.4. Short-range radar

2.4.1. Detects objects, pedestrians, vehicles near the car

2.5. Long-range radar

2.5.1. Detects and measures velocity of traffic down the road

2.6. Electric Motor

2.6.1. Battery power drives wheels

2.7. High-speed processors

2.7.1. Crunch data from sensors to direct the car's movement

2.8. LIdar

2.8.1. Bounces laser light off objects to detect shape and location

3. Innovating Throughout the Autonomous Driving Stack

3.1. MooAV Autonomous driving software stack

3.1.1. Modular and highly scalable to meet different application

3.1.2. Leveraging on best-in-class sensors and compute technologies, our solutions meet industry requirements of SWAP

4. Diversifying product based on our core automation driving software stack

4.1. Mobility as a Service : Autonomous Electric Shuttle

4.1.1. First and Last Mile

4.1.1.1. Smart city

4.1.1.2. Transportation hub to residential and commercial area

4.1.2. Designated Areas

4.1.2.1. Private Campus

4.1.2.2. Residential connections

4.1.2.3. Hospitals

4.1.2.4. Tourist attractions

4.1.3. Private Compound

4.1.3.1. Airport shuttles

4.1.3.2. Commercial and industrial Lot

4.1.3.3. Resort and Recreational Park

4.2. Robotic as a Service: Logistic and Agriculture

4.2.1. Agriculture Robotic

4.2.2. Health Care Robotic

5. Potential effects of shift to future mobility ecosystem

5.1. Finance

5.2. Insurance

5.3. Transportation

5.4. Automotive

5.5. Retail

5.6. Technology

5.7. Telecom

5.8. Media

5.9. Medical & Legal

5.10. Public Sector

6. Policy and Regulation related to Autonomous Vehicle

6.1. United States of America

6.1.1. 33 states had either passed legislation, issued executive orders, or announced initiatives to accommodate self-driving vehicles on public roads.

6.1.2. California allowing fully autonomous vehicles with no driver to operate on its public roads

6.2. China

6.2.1. Shanghai issued its first self-driving licenses, allowing two automakers to test their autonomous vehicles on public roads.

6.2.2. Hangzhou open an autonomous driving test track

6.2.3. Guangzhou allowed Pony.ai and JingChi.ai to test vehicles in certain districts

6.2.4. Introduced the Chongqing Autonomous Vehicle Road Test Management Implementation Rules to regulate testing on local public roads.

6.3. Netherlands

6.3.1. WEpods world’s first electric driverless shuttle, it can hold six people, and operate on fixed lanes across the Gelderland city.

6.4. Sweden

6.4.1. Volvo launched its Drive Me project, which provided self-driving cars to a number of people in Gothenburg for use in their everyday lives. The project is aimed at collecting user feedback to hone Volvo’s technology.

6.5. Germany

6.5.1. Allows companies to begin testing self-driving cars on public roadways

6.6. United Kingdom

6.6.1. Aiming for a wide adoption of autonomous vehicles on its roads

6.7. Singapore

6.7.1. The first Asian country to widely adopt autonomous driving — or even the world’s first

6.8. South Korea

6.8.1. The homeland of Samsung, Hyundai and LG allows autonomous vehicles with issued licences to operate on public roads and is building an entire artificial town for autonomous vehicle testing.

6.9. New Zealand

6.9.1. Encourages the testing of semi and fully autonomous vehicles and is facilitating the early adoption of autonomous driving technology