GoldenGolden
Advanced Search
Autonomous vehicle

Autonomous vehicle

An autonomous vehicle, or a driverless vehicle, is one that is able to operate itself and perform necessary functions without any human intervention, through its ability to sense its surroundings.

All edits

Edits on 12 Aug, 2021
Charley Baker
Charley Baker edited on 12 Aug, 2021
Edits made to:
Infobox (+1 properties)
Infobox
Also known as
autonomous vehicles
Edits on 25 May, 2021
Amy Tomlinson Gayle
Amy Tomlinson Gayle edited on 25 May, 2021
Edits made to:
Description (+4/-23 characters)
Article (+396/-504 characters)
Topic thumbnail

Autonomous vehicle

An autonomous vehicle, or a driverless vehicle (self-driving vehicle), is one that is able to operate itself and perform necessary functions without any human intervention, through its ability to sense its surroundings.

Article

Autonomous vehicles (AV), also known as self-driving cars, driverless cars, or robo-cars, are vehicles that are capable of sensing their environment and moving safely with little or no human input.

...

AVs use a variety of sensors, artificial intelligence, and control systems to operate themselves, including: radar, lidar, sonar, GPS, odometry, and inertial measurement units. Another fundamental element of self-driving cars is their ability to communicate with each other along a string (also called a platoon) to maintain safety along the road, regardless of conditions or situations.

...

Self-driving vehicles have been a goal and challenge for inventors for hundreds of years, dating back to da Vinci’s Self-Propelled Cart in the 1500’s. Automated aircraft and boatcraftwatercraft were instrumental building blocks to autonomous vehicles, with self-propelled torpedoes and aircraft autopilot coming in 1868 and 1933. Ralph Teetor invented cruise control in 1945 after becoming frustrated by the car’s rocking motion when driving with his lawyer. The Stanford Cart, created in 1961 by James Adams amidst the space race, was a remote-controlled lunar rover that ultimately became the world’s first self-driving wheeled vehicle.

...

Autonomous VehicleVehicles are currently categorized by the Society of Automotive Engineers (SAE) levels of autonomy. There are 6 autonomy levels (level 0-level 5).:

  • Level 2: An ADAS on the vehicle can itself actually control both steering and braking/accelerating simultaneously under some circumstances. The human driver must continue to pay full attention (“monitor the driving environment”) at all times and perform the rest of the driving task.
  • Level 5: The ADAS on the vehicle can do all the driving in all circumstances. The human occupants are just passengers and never need neverto be involved in driving.
Manufacturer's sorted by level of autonomy for vehicles produced
Autonomous Vehicle Production and Availability

Autonomous vehicles range in levels of autonomy from SAE Level 0 which features no automation, to Level 5 which features full automation. Currently only LevelLevels 1 and 2 vehicles are in mass production, with Honda claiming they will release the first mass-produced Level 3 autonomous vehicle to Japan in March 2021.

...

A 2020 IDC report predicts that by 2024 more than 50% of all vehicles produced will have some degree of automation (levels 1-5). Lux Research reports that the self-driving vehicle market has an opportunity to reach $87 billion by 2030. Although there isare prototypes and training vehicles categorized as Levels 4 and 5, these vehicles are not expected to be on the mass produced for the road until 2025 or make up a significant portion of the consumer market until 2030.

...

Level 0 cars currently make up the majority of the automotive market share, requiring full driver control over the vehicle. A large number of recent model year vehicles are capable of Level 1, meaning they include a single service feature that assists in driving such adaptive cruise control or automated lane-centering.

...

As opposed toWhile Level 1 vehicles which only require one assistance feature, Level 2 vehicles must, at-a-minimumat a minimum, involve automation of at least two primary functions. These vehicles usually provide a combination of stop-and-go cruise control and automated lane centering. Although these vehicles are often marketed as "self-driving,", they still require partial driver control. Level 2 vehicles are expected to capture 92% of the total market share by 2030, with level 3 making up the remainder.

...

Autonomous vehicles utilize a number of different technologies, separately and as a connected system, in order to run efficiently and safely as an individual unit or as part of a "string." Common technologies include telematicstelematics and communication systems, computer vision and environment imaging technologies, and navigation and tracking technologies.

...

Telematics systems utilize cloud-based data transfer to determine vehicle insight, such as speed, location, mileage, and road conditions. These systems have been heavily researched for use in driverless autonomous vehicles due to the importance in programming artificial intelligence driving systems and tracking vehicles without a driver.

Telematics technology applications include driving assistance systems, vehicle monitoring, inter-fleet (or platoon) communication, and emergency response. Location and usage data would not only help individual owners maintain their vehicle, but also assist businesses in tracking fleet maintenance schedules and usage logs.

...
Computer vision and environment imaging technologies
Computer vision and environment imaging technologies

Radar is an environment detection technology whichthat utilizes radio waves to sense objects, and has been present in cars dating back to the late 1990s. Radar is a cheap and reliable technology that is widespread in vehicles due to its effective at detecting other cars.

...
Autonomous vehicle telematics, navigation and tracking technology companies
Autonomous vehicle telematics, navigation, and tracking technologies
...

The automotive transportation has evolved in many ways since the automobile was first introduced, both solving and also creating problems in multiple industries since it has grown. Autonomous vehicle fleets have received widespread attention and investment, as large corporations and small-businessessmall businesses try to deal with driver shortages, compensation, and drive-time regulations. The concept has attracted a range of companies to autonomous vehicle research, surging development of fleet management systems, network-to-vehicle communication and coordinated driving technology.

Edits on 7 May, 2021
Kristen Hajduk
Kristen Hajduk edited on 7 May, 2021
Edits made to:
Article (+38/-38 characters)
Article

Autonomous Vehicle are currently categorized by the Society of Automotive Engineers (SAE) Society of Automotive Engineers (SAE) levels of autonomy. There are 6 autonomy levels (level 0-level 5).

Edits on 3 Feb, 2021
Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+16/-16 characters)
Article

Light detection and ranging, lidar for short, is a technology built on laser technologylaser technology. Lidar shoots millions of laser beams out around a vehicle every second, recording how long they take to bounce off the nearest object and return. An on-board processor analyzes these measurements and uses the data to create a three-dimensional map of the vehicle's surroundings. This map is not only more accurate than traditional radar, but is also easier for computers to process than traditional 2D camera imagery. While lidar is effective for obstacle detection and virtual environment mapping, it is expensive and hard to manufacture at scale.

Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+5/-5 characters)
Article

LightLight detection and ranging, lidar for short, is a technology built on laser technology. Lidar shoots millions of laser beams out around a vehicle every second, recording how long they take to bounce off the nearest object and return. An on-board processor analyzes these measurements and uses the data to create a three-dimensional map of the vehicle's surroundings. This map is not only more accurate than traditional radar, but is also easier for computers to process than traditional 2D camera imagery. While lidar is effective for obstacle detection and virtual environment mapping, it is expensive and hard to manufacture at scale.

Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+5/-5 characters)
Article

Autonomous vehicles range in levels of autonomy from SAE Level 0 which features no automation, to Level 5 which features full automation. Currently only Level 1 and 2 vehicles are in mass production, with Honda claiming they will release the first mass-produced Level 3 autonomous vehicle to JapanJapan in March 2021.

Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+14/-14 characters)
Article

Self-driving vehicles have been a goal and challenge for inventors for hundreds of years, dating back to da Vinci’s Self-Propelled Cart in the 1500’s. Automated aircraft and boatcraft were instrumental building blocks to autonomous vehicles, with self-propelled torpedoes and aircraft autopilot coming in 1868 and 1933. Ralph Teetor invented cruise controlcruise control in 1945 after becoming frustrated by the car’s rocking motion when driving with his lawyer. The Stanford Cart, created in 1961 by James Adams amidst the space race, was a remote-controlled lunar rover that ultimately became the world’s first self-driving wheeled vehicle.

Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+5/-5 characters)
Article

Autonomous vehicles range in levels of autonomy from SAE Level 0 which features no automation, to Level 5 which features full automation. Currently only Level 1 and 2 vehicles are in mass production, with HondaHonda claiming they will release the first mass-produced Level 3 autonomous vehicle to Japan in March 2021.

Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+12/-12 characters)
Article

A 2020 IDC report predicts that by 2024 more than 50% of all vehicles produced have some degree of automation (levels 1-5). Lux ResearchLux Research reports that the self-driving vehicle market has an opportunity to reach $87 billion by 2030. Although there is prototypes and training vehicles categorized as Levels 4 and 5, these vehicles are not expected to be on the mass produced for the road until 2025 or make up a significant portion of the consumer market until 2030.

Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+10/-10 characters)
Article

Autonomous vehicles utilize a number of different technologies, separately and as a connected system, in order to run efficiently and safely as an individual unit or part of a "string." Common technologies include telematicstelematics,

Charley Baker
Charley Baker approved a suggestion from Golden's AI on 3 Feb, 2021
Edits made to:
Article (+5/-5 characters)
Article

AVs use a variety of sensors, artificial intelligence and control systems to operate themselves including: radar, lidarlidar, sonar, GPS, odometry and inertial measurement units. Another fundamental element of self-driving cars is their ability to communicate with each other along a string (also called a platoon) to maintain safety along the road regardless of conditions or situations.

Edits on 2 Feb, 2021
Holden Page
Holden Page edited on 2 Feb, 2021
Edits made to:
Article (+255/-273 characters)
Article
Overview
...
History
History
...

...
Manufacturer's sorted by level of autonomy for vehicles produced
Manufacturer's sorted by level of autonomy for vehicles produced
...

...
Computer vision and environment imaging technologies
Radar
Computer vision and environment imaging technologies
...
Lidar

...
Autonomous vehicle telematics, navigation and tracking technology companies
Autonomous vehicle telematics, navigation and tracking technology companies
...
Autonomous vehicle fleet management technology companies
Autonomous vehicle fleet management technology companies
Edits on 30 Jan, 2021
Joe Burns
Joe Burns edited on 30 Jan, 2021
Edits made to:
Infobox (+5 properties)
Infobox
Related industries
Automotive industry
Joe Burns
Joe Burns edited on 30 Jan, 2021
Edits made to:
Article (+9 rows) (+34 cells) (+3495/-346 characters)
Article
Categories of Autonomy
Categories of Autonomy

Autonomous Vehicle are currently categorized by levelthe Society of Automotive Engineers (SAE) levels of autonomy. There are 6 autonomy levels (level 0-level 5).

...
Manufacturer's sorted by level of autonomy for vehicles produced

Autonomous vehicles range in levels of autonomy from SAE Level 0 which features no automation, to Level 5 which features full automation. Currently only Level 1 and 2 vehicles are in mass production, with Honda claiming they will release the first mass-produced Level 3 autonomous vehicle to Japan in March 2021.

A 2020 IDC report predicts that by 2024 more than 50% of all vehicles produced have some degree of automation (levels 1-5). Lux Research reports that the self-driving vehicle market has an opportunity to reach $87 billion by 2030. Although there is prototypes and training vehicles categorized as Levels 4 and 5, these vehicles are not expected to be on the mass produced for the road until 2025 or make up a significant portion of the consumer market until 2030.

Level 0 cars currently make up the majority of the automotive market share, requiring full driver control over the vehicle. A large number of recent model year vehicles are capable of Level 1, meaning they include a single service feature that assists in driving such adaptive cruise control or automated lane-centering.

As opposed to Level 1 vehicles which only require one assistance feature, Level 2 vehicles must at-a-minimum involve automation of at least two primary functions. These vehicles usually provide a combination of stop-and-go cruise control and automated lane centering. Although these vehicles are often marketed as "self-driving", they still require partial driver control. Level 2 vehicles are expected to capture 92% of the total market share by 2030, with level 3 making up the remainder.

Current vehicle manufacturers mass producing Level 2 autonomous vehicles

Manufacturer
Models
Level 2 technology systems

Audi

A6, A8

Active Lane Assist with Stop & Go; Traffic Jam Assist

BMW

X5, 3 Series

Driving Assistant Pro

Cadillac

CT6, Escalade

Super Cruise

Ford/Lincoln

Mustang Mach-E

Co-Pilot 360

Kia/Hyundai

Telluride, Palisade, Sonata

Highway Drive Assist (HDA)

Mercedes-Benz

E-Class, S-Class

Driver Assistance Package PLUS

Nissan/Infiniti

QX50

ProPilot Assist

Tesla

Model 3, Y, S and X

Autopilot; Full-Self Driving

Volvo

XC90, XC60, XC40

Pilot Assist

...

Autonomous vehicles utilize a number of different technologies, separately and as a connected system, in order to run efficiently and safely as an individual unit or part of a "string." Common technologies include telematics,

...

Autonomous vehicles utilize cloud-based data transfer between moving vehicles to facilitate efficient navigation and reduce traffic congestion. Some AVs utilize map systems, run via cloud and on-board computers to choose routes based on the shortest travel time.

Telematics systems utilize cloud-based data transfer to determine vehicle insight such as speed, location, mileage and road conditions. These systems have been heavily researched for use in driverless autonomous vehicles due to the importance in programming artificial intelligence driving systems and tracking vehicles without a driver.

Telematics technology applications include driving assistance systems, vehicle monitoring, inter-fleet (or platoon) communication and emergency response. Location and usage data would not only help individual owners maintain their vehicle, but also assist businesses in tracking fleet maintenance schedules and usage logs.

...

As driverless cars begin to be produced, telematic services will be important in transitioning vehicles from individually-driven to operation along an interconnected vehicle network.

...

Autonomous vehicles utilize cloud-based data transfer between moving vehicles to facilitate driver assistance, efficient navigation and reduce traffic congestion. Some AVs utilize map systems, run via cloud and on-board computers to choose routes based on the shortest travel time. Telematic system technology is heavily researched for use in autonomous vehicles, providing key data for monitoring vehicle location, operating on-board systems and communicating with larger networks.

...

Autonomous vehicle fleet management technology companies

Autonomous vehicle fleet management technology companies

The automotive transportation has evolved in many ways since the automobile was first introduced, solving and also creating problems in multiple industries since it has grown. Autonomous vehicle fleets have received widespread attention and investment, as large corporations and small-businesses try to deal with driver shortages, compensation and drive-time regulations. The concept has attracted a range of companies to autonomous vehicle research, surging development of fleet management systems, network-to-vehicle communication and coordinated driving technology.

Holden Page
Holden Page edited on 29 Jan, 2021
Edits made to:
Article (+1057/-1057 characters)
Article

...

Level 0: The human driver does all the driving.

Level 1: An advanced driver assistance system (ADAS) on the vehicle can sometimes assist the human driver with either steering or braking/accelerating, but not both simultaneously.

Level 2: An ADAS on the vehicle can itself actually control both steering and braking/accelerating simultaneously under some circumstances. The human driver must continue to pay full attention (“monitor the driving environment”) at all times and perform the rest of the driving task.

Level 3: AN ADAS can perform all parts of the driving task in some conditions, but the human driver is required to be able to regain control when requested to do so by the ADAS. In the remaining conditions, the human driver executes the necessary tasks.

Level 4: The ADAS is able to perform all driving tasks independently in certain conditions in which human attention is not required.

...

Level 5: The ADAS on the vehicle can do all the driving in all circumstances. The human occupants are just passengers and need never be involved in driving.

  • Level 0: The human driver does all the driving.
  • Level 1: An advanced driver assistance system (ADAS) on the vehicle can sometimes assist the human driver with either steering or braking/accelerating, but not both simultaneously.
  • Level 2: An ADAS on the vehicle can itself actually control both steering and braking/accelerating simultaneously under some circumstances. The human driver must continue to pay full attention (“monitor the driving environment”) at all times and perform the rest of the driving task.
  • Level 3: AN ADAS can perform all parts of the driving task in some conditions, but the human driver is required to be able to regain control when requested to do so by the ADAS. In the remaining conditions, the human driver executes the necessary tasks.
  • Level 4: The ADAS is able to perform all driving tasks independently in certain conditions in which human attention is not required.
  • Level 5: The ADAS on the vehicle can do all the driving in all circumstances. The human occupants are just passengers and need never be involved in driving.
Joe Burns
Joe Burns edited on 29 Jan, 2021
Edits made to:
Article (+56 characters)
Article

Autonomous vehicle fleet management technology companies

Autonomous vehicle fleet management technology companies

Joe Burns
Joe Burns edited on 29 Jan, 2021
Edits made to:
Article (+2170 characters)
Article

Autonomous vehicles can dramatically reduce the frequency of automotive crashes, with the Insurance Institute for Highway Safety (IIHS) estimating that if every vehicle had forward collision and lane departure warning systems, blind spot assist technology and adaptive headlights, almost 1/3 of all crashes and fatalities could be prevented.

...

...

Autonomous vehicle technology systems

Autonomous vehicles utilize a number of different technologies, separately and as a connected system, in order to run efficiently and safely as an individual unit or part of a "string."

Telematics and communication systems

Autonomous vehicles utilize cloud-based data transfer between moving vehicles to facilitate efficient navigation and reduce traffic congestion. Some AVs utilize map systems, run via cloud and on-board computers to choose routes based on the shortest travel time.

Computer vision and environment imaging technologies
Radar

Radar is an environment detection technology which utilizes radio waves to sense objects, and has been present in cars dating back to the late 1990s. Radar is a cheap and reliable technology that is widespread in vehicles due to its effective at detecting other cars.

Lidar

Light detection and ranging, lidar for short, is a technology built on laser technology. Lidar shoots millions of laser beams out around a vehicle every second, recording how long they take to bounce off the nearest object and return. An on-board processor analyzes these measurements and uses the data to create a three-dimensional map of the vehicle's surroundings. This map is not only more accurate than traditional radar, but is also easier for computers to process than traditional 2D camera imagery. While lidar is effective for obstacle detection and virtual environment mapping, it is expensive and hard to manufacture at scale.

Computer vision and environment imaging technologies

Autonomous vehicle telematics, navigation and tracking technology companies

Autonomous vehicles utilize cloud-based data transfer between moving vehicles to facilitate efficient navigation and reduce traffic congestion. Some AVs utilize map systems, run via cloud and on-board computers to choose routes based on the shortest travel time.

Autonomous vehicle telematics, navigation and tracking technology companies

Edits on 12 Jan, 2021
Henry Ogolla
Henry Ogolla approved a suggestion from Golden's AI on 12 Jan, 2021
Edits made to:
Article (+12/-12 characters)
Article

Self-driving vehicles have been a goal and challenge for inventors for hundreds of years, dating back to da Vinci’s Self-Propelled Cart in the 1500’s. Automated aircraft and boatcraft were instrumental building blocks to autonomous vehicles, with self-propelled torpedoes and aircraft autopilot coming in 1868 and 1933. Ralph TeetorRalph Teetor invented cruise control in 1945 after becoming frustrated by the car’s rocking motion when driving with his lawyer. The Stanford Cart, created in 1961 by James Adams amidst the space race, was a remote-controlled lunar rover that ultimately became the world’s first self-driving wheeled vehicle.

Joe Burns
Joe Burns edited on 11 Jan, 2021
Edits made to:
Infobox (+1/-1 properties)
Article (+1483 characters)
Topic thumbnail

Autonomous vehicle

An autonomous vehicle, or a driverless vehicle, is one that is able to operate itself and perform necessary functions without any human intervention, through its ability to sense its surroundings.

Article
Overview

Autonomous vehicles (AV), also known as self-driving cars, driverless cars or robo-cars are vehicles that are capable of sensing their environment and moving safely with little or no human input.

AVs use a variety of sensors, artificial intelligence and control systems to operate themselves including: radar, lidar, sonar, GPS, odometry and inertial measurement units. Another fundamental element of self-driving cars is their ability to communicate with each other along a string (also called a platoon) to maintain safety along the road regardless of conditions or situations.

History

Self-driving vehicles have been a goal and challenge for inventors for hundreds of years, dating back to da Vinci’s Self-Propelled Cart in the 1500’s. Automated aircraft and boatcraft were instrumental building blocks to autonomous vehicles, with self-propelled torpedoes and aircraft autopilot coming in 1868 and 1933. Ralph Teetor invented cruise control in 1945 after becoming frustrated by the car’s rocking motion when driving with his lawyer. The Stanford Cart, created in 1961 by James Adams amidst the space race, was a remote-controlled lunar rover that ultimately became the world’s first self-driving wheeled vehicle.

Tesla Autopilot, released in 2015, created one of the biggest kickstarts to autonomous vehicle technology. The feature allowed hands-free control highway driving and was released to Tesla owners in the form of a single software update.

Categories of Autonomy
Infobox
Also known as
self-driving vehicle
Also known as
Self-driving vehicle
Edits on 17 Nov, 2020
Charley Baker
Charley Baker edited on 17 Nov, 2020
Edits made to:
Description (+215 characters)
Article (+1171 characters)
Topic thumbnail

Autonomous vehicle

An autonomous vehicle, or a driverless vehicle (self-driving vehicle), is one that is able to operate itself and perform necessary functions without any human intervention, through ability to sense its surroundings.

Article

Autonomous Vehicle are currently categorized by level of autonomy. There are 6 autonomy levels (level 0-level 5).

Level 0: The human driver does all the driving.

Level 1: An advanced driver assistance system (ADAS) on the vehicle can sometimes assist the human driver with either steering or braking/accelerating, but not both simultaneously.

Level 2: An ADAS on the vehicle can itself actually control both steering and braking/accelerating simultaneously under some circumstances. The human driver must continue to pay full attention (“monitor the driving environment”) at all times and perform the rest of the driving task.

Level 3: AN ADAS can perform all parts of the driving task in some conditions, but the human driver is required to be able to regain control when requested to do so by the ADAS. In the remaining conditions, the human driver executes the necessary tasks.

Level 4: The ADAS is able to perform all driving tasks independently in certain conditions in which human attention is not required.

...

Level 5: The ADAS on the vehicle can do all the driving in all circumstances. The human occupants are just passengers and need never be involved in driving.

Golden logo
Text is available under the Creative Commons Attribution-ShareAlike 4.0; additional terms apply. By using this site, you agree to our Terms & Conditions.