autonomous vehicle

(redirected from autonomous driving)

autonomous vehicle

[ȯ¦tän·ə·məs ′vē·ə·kəl]
(engineering)
A vehicle that is able to plan its path and to execute its plan without human intervention.

autonomous vehicle

A computer-controlled car that drives itself. Autonomous vehicles date back to the 1939 World's Fair in New York where the General Motor's exhibit predicted the development of driverless, radio-controlled electric cars. As TVs and modern appliances emerged in the U.S. in the 1950s, more images of driverless cars debuted. In the 1980s, experiments that detected the painted lines in the road were actually performed in the U.S. and Europe. In 2011, Nevada was the first state in the U.S. to legalize their use.

Why?
Accident avoidance is the major incentive because the car can respond faster than a human. In addition, people can arrive more relaxed after a long trip. Vehicles can travel closer together on the road, and computers can operate them more economically than people. The ultimate manifestation is the reduction of vehicles. For example, driverless taxis could replace a family's second car that sits idle most of the time. Of course, fewer cars overall has other implications (see computer ethics).

DARPA Grand Challenges
The Defense Advanced Research Projects Agency jump-started the driverless industry in the U.S. In 2004, DARPA offered monetary rewards for the winners of a 150-mile driverless vehicle race in the Mojave Desert in California. No vehicle completed the course, but 22 out of 23 finished the next race in 2005 with more curves and narrower roads. In 2007, six teams completed a 60-mile run through urban streets.

LIDAR and Maps
Driverless cars use lasers that scan the environment more than a million times per second (see LIDAR). Combined with digital GPS maps of the area, driverless cars detect white and yellow lines on the road as well as every stationary and moving object in their perimeter. Autonomous vehicles can drive themselves as long as a human driver can take control immediately when necessary.

Google Self-Driving Car Project
Although most automobile companies are in some stage of R&D for driverless cars, Google undertook its own project in 2009. Some 23 Google-equipped Lexus SUVs driven by Google employees mostly in California racked up nearly two million miles in both driverless and manual modes by 2016. There were 12 minor accidents caused by human drivers primarily rear ending the Google car; however, in February 2016, a Google car changing lanes was hit by an oncoming bus at very low speed with no injuries. If it seems odd that a search engine company is pioneering autonomous vehicles, its effectiveness and success lies greatly with the software algorithms. See Alphabet.

Public Taxi Trials Have Begun
In 2016, Uber and nuTonomy began driverless taxi trials in Pittsburgh and Singapore respectively. Engineers are present in the vehicles during these pilot programs to take over the wheel if necessary, but drivers do not talk to passengers in order to give them the full driverless experience. Also in September 2016, California sanctioned the trials of completely driverless cars (no steering wheel, brakes, etc.) in a Contra Costa County private business park. See Uber.

The Transition to Driverless Cars
Along with the huge technology challenge, state laws are being changed to allow them on the road. Whether autonomous vehicles become mainstream in a few years or decades away remains to be seen. However, in the meantime, accident prevention systems in regular cars are becoming much more advanced as a result of all the research (see adaptive cruise control). See semiautonomous vehicle, e-highway and automotive systems.


The Driverless Audi
Cruise Automation started taking pre-orders in 2014 for its RP-1 kit for late model Audis. The rooftop sensor pod contains the cameras and radar for highway cruising. (Images courtesy of Cruise Automation Inc., www.getcruise.com)


The Driverless Audi
Cruise Automation started taking pre-orders in 2014 for its RP-1 kit for late model Audis. The rooftop sensor pod contains the cameras and radar for highway cruising. (Images courtesy of Cruise Automation Inc., www.getcruise.com)







Tesla Model S Driverless - 2015
Using GPS and sensors, Tesla's Autopilot keeps a steady pace on the highway. The first driverless option in a production vehicle, Autopilot alerts the driver when cars are too close to the side, and it automatically changes lanes and parallel parks. See semiautonomous vehicle. (Image courtesy of Tesla Motors, www.teslamotors.com)







Auto-Propelled Wagon - 1478
Equally as revolutionary, Leonardo da Vinci attempted to create an auto-propelled vehicle with coiled springs, but he never made it work. This replica is in IBM's conference center in Palisades, New York.
References in periodicals archive ?
is considering developing its own computer chips and sensors used in autonomous driving to gain fuller control over components seen as being crucial to future development of cars.
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Car manufacturers and related businesses are responding through development of technologies aimed at making autonomous driving a reality.
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Areas of future collaboration between the two companies could include autonomous driving technologies and the utilisation of data generated from connected cars to create new services.
Autonomous driving systems still need a degree of participation, but when the systems are allowed to take full control, that could leave drivers with nothing to do.
Not a special edition named after controversial Tory Ian Duncan Smith, but an electric vehicle that's an autonomous driving prototype.
These projects will bring some of the UK's leading academics together with our autonomous driving team to address the fundamental realworld challenges.
These collaborative projects will bring some of the UK's leading academics together with our autonomous driving team to address the fundamental real-world challenges that are part of our journey towards autonomous driving.
Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) wireless technologies, also known as Vehicle-to-everything (V2X), are paving the way to the transportation of the future, and ultimately autonomous driving.
The maps are especially useful in the development of autonomous driving systems.
Nissan has said it hopes to introduce at least some autonomous driving technologies--such as self-parking cars and collision detection systems, to cars by 2016.

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