Term of the Moment
data hoovering
Definition: self-driving car
A computer-controlled car that drives itself. Also called an "autonomous vehicle" and "driverless car," several companies have been developing self-driving cars, including Alphabet's Waymo, GM's Cruise, Uber, Baidu, Toyota, NVIDIA and Tesla. Even Apple was involved for a while (see Apple Car).
The Concept Goes Back Decades
Self-driving cars date back to the 1939 World's Fair in New York when General Motors predicted the development of radio-controlled electric cars. As TVs and modern appliances emerged in the 1950s, more predictions of self-driving cars debuted. In the 1980s, experiments detecting the lines in the road were performed in the U.S. and Europe.
DARPA Started It
The U.S. Defense Advanced Research Projects Agency (DARPA) jump-started the industry. In 2004, it offered rewards for the winners of a 150-mile self-driving race in California's Mojave Desert. 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. Nevada was the first state to legalize self-driving cars in 2011.
Why Self-Driving Cars?
Accident avoidance is the major incentive because computers can respond to dangerous situations a thousand times faster than a human. In addition, people can arrive more relaxed after a long trip. Vehicles can travel closer together and operate more economically when moving in a smooth traffic flow. The ultimate manifestation is the reduction of vehicles. For example, self-driving taxis can replace a second car, or a family's self-driving car could take everyone to work, pick them up and be available during the day for others to use; a far better allocation of resources than the millions of cars sitting in employee parking lots.
Not Foolproof
If thousands of lives could be saved each year, self-driving cars will be a huge benefit. However, there have been more than a dozen deaths and hundreds of accidents using Tesla's Autopilot mode, which requires the driver to take over at a moment's notice. Unfortunately, drivers fail to pay attention and might even fall asleep at the wheel on long trips.
Google Self-Driving Car Project
Although most automobile companies are in some stage of R&D for self-driving cars, Google undertook its own project in 2009. Seven years later, Google spun off the technology into Waymo, a new Alphabet division. See Waymo and Alphabet.
Self-Driving Taxis Are Coming
In 2016, Uber and MIT spinoff NuTonomy began self-driving taxi trials in various cities, but engineers were present to take over when necessary. In order to give passengers the full driverless experience, there was no conversation. However, in 2017, NuTonomy was acquired by automotive company Aptiv, and Uber sold its Advanced Technologies Group (ATG) in 2020 to Aurora, an autonomous vehicle startup.
The Transition to Driverless Cars
Along with the huge technology challenge, state laws are also being changed. Whether self-driving cars become mainstream in a few years remains to be seen. However, predictions abound that 20% or more of all vehicles worldwide will be driverless by 2040. As that unfolds, the infrastructure is also expected to change. For example, road signs, traffic lights and the very roads themselves are expected to communicate with the vehicles. In addition, personal ownership of family cars is expected to decline (see TaaS).
Automobiles With Their Own Satellites
Starting in 2022 and with an expected total of more than 70 low-earth orbit (LEO) satellites, Chinese aerospace company Geespace provides centimeter-level accuracy for Geely self-driving cars in more than 20 countries. Geely, China's second largest automaker, and Geespace are owned by parent company Zhejiang Geely Holding Group (ZGH).
In the Meantime
As a result of all the self-driving R&D, accident prevention in all new cars is increasingly more advanced and a boon to road safety (see automotive safety systems). See V2X, self-driving truck, autonomous racing, autonomous vehicle levels, semiautonomous vehicle, virtual traffic lights, e-highway and automotive systems.
Self-Driving Add-On
What the Car Sees
Tesla Autopilot
Sensing Technologies
First Self-Propelled Vehicle
The Concept Goes Back Decades
Self-driving cars date back to the 1939 World's Fair in New York when General Motors predicted the development of radio-controlled electric cars. As TVs and modern appliances emerged in the 1950s, more predictions of self-driving cars debuted. In the 1980s, experiments detecting the lines in the road were performed in the U.S. and Europe.
DARPA Started It
The U.S. Defense Advanced Research Projects Agency (DARPA) jump-started the industry. In 2004, it offered rewards for the winners of a 150-mile self-driving race in California's Mojave Desert. 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. Nevada was the first state to legalize self-driving cars in 2011.
Why Self-Driving Cars?
Accident avoidance is the major incentive because computers can respond to dangerous situations a thousand times faster than a human. In addition, people can arrive more relaxed after a long trip. Vehicles can travel closer together and operate more economically when moving in a smooth traffic flow. The ultimate manifestation is the reduction of vehicles. For example, self-driving taxis can replace a second car, or a family's self-driving car could take everyone to work, pick them up and be available during the day for others to use; a far better allocation of resources than the millions of cars sitting in employee parking lots.
Not Foolproof
If thousands of lives could be saved each year, self-driving cars will be a huge benefit. However, there have been more than a dozen deaths and hundreds of accidents using Tesla's Autopilot mode, which requires the driver to take over at a moment's notice. Unfortunately, drivers fail to pay attention and might even fall asleep at the wheel on long trips.
Google Self-Driving Car Project
Although most automobile companies are in some stage of R&D for self-driving cars, Google undertook its own project in 2009. Seven years later, Google spun off the technology into Waymo, a new Alphabet division. See Waymo and Alphabet.
Self-Driving Taxis Are Coming
In 2016, Uber and MIT spinoff NuTonomy began self-driving taxi trials in various cities, but engineers were present to take over when necessary. In order to give passengers the full driverless experience, there was no conversation. However, in 2017, NuTonomy was acquired by automotive company Aptiv, and Uber sold its Advanced Technologies Group (ATG) in 2020 to Aurora, an autonomous vehicle startup.
The Transition to Driverless Cars
Along with the huge technology challenge, state laws are also being changed. Whether self-driving cars become mainstream in a few years remains to be seen. However, predictions abound that 20% or more of all vehicles worldwide will be driverless by 2040. As that unfolds, the infrastructure is also expected to change. For example, road signs, traffic lights and the very roads themselves are expected to communicate with the vehicles. In addition, personal ownership of family cars is expected to decline (see TaaS).
Automobiles With Their Own Satellites
Starting in 2022 and with an expected total of more than 70 low-earth orbit (LEO) satellites, Chinese aerospace company Geespace provides centimeter-level accuracy for Geely self-driving cars in more than 20 countries. Geely, China's second largest automaker, and Geespace are owned by parent company Zhejiang Geely Holding Group (ZGH).
In the Meantime
As a result of all the self-driving R&D, accident prevention in all new cars is increasingly more advanced and a boon to road safety (see automotive safety systems). See V2X, self-driving truck, autonomous racing, autonomous vehicle levels, semiautonomous vehicle, virtual traffic lights, e-highway and automotive systems.
Founded in 2013, Cruise Automation made self-driving kits for Audis. Three years later, General Motors acquired the company to turn the Chevy Bolt into an autonomous vehicle. (Image courtesy of Cruise Automation Inc.)
Self-driving computers are processing billions of operations per second to identify and catalog their surroundings as in this example. See NVIDIA DRIVE. (Image courtesy of NVIDIA Corporation.)
This Tesla example taken in 2017 shows the driver what it detects in the environment. The first self-driving option in a production car, drivers must put their hands on the wheel at least once every 30 seconds. Autopilot alerts the driver when cars are too close, and it automatically changes lanes and parallel parks. See semiautonomous vehicle.
Self-driving cars can use a combination of cameras, radar, LIDAR and sound to detect the lanes and objects on the road, and this chart shows their usefulness from worst (red) to best (green). Newer Teslas use only cameras. See radar and LIDAR. (Image courtesy of Phantom Intelligence.)
Hardly self-driving but a first in automated transportation in 1478, Leonardo da Vinci used coiled springs to build a self-propelled vehicle. Very revolutionary, it never worked all that well. This replica is in IBM's conference center in Palisades, New York.