Skip to main content

Digital Trends may earn a commission when you buy through links on our site. Why trust us?

The history of self-driving cars

Once little more than a Hollywood-esque pipe dream, autonomous cars became a reality in the 2010s thanks largely to the research carried out by tech companies like Google. Although they haven’t merged into the mainstream yet and you can’t buy one as of writing, self-driving prototypes log millions of miles on our nation’s roads annually.

Compressing the history of self-driving cars into fewer than 10 milestones isn’t easy, but we’ve done our best.

The driverless dream begins

History of self-driving cars

It didn’t take long after the birth of the automobile for inventors to start thinking about autonomous vehicles. In 1925, inventor Francis Houdina demonstrated a radio-controlled car, which he drove through the streets of Manhattan without anyone at the steering wheel. According to a period New York Times report, the radio-controlled vehicle was able to start its engine, shift gears, and sound its horn “as if a phantom hand were at the wheel.”

As an amusing aside, Houdina’s name sounded sufficiently like that of the famous escape artist and illusionist Harry Houdini that a lot of people thought this was Houdini’s latest trick. Houdini visited the Houdina Company and got into a physical altercation, during which he broke an electric chandelier.

John McCarthy’s robo-chauffeur

In 1969, John McCarthy — who is celebrated as one of the founding fathers of artificial intelligence — described something similar to the modern autonomous vehicle in an essay titled “Computer-Controlled Cars.” McCarthy referred to an “automatic chauffeur” capable of navigating a public road via a “television camera input that uses the same visual input available to the human driver.”

He wrote that users should be able to enter a destination using a keyboard, which would then prompt the car to immediately drive them there. Additional commands would allow users to change the destination, stop at a restroom or restaurant, slow down, or speed up in the case of an emergency. No such vehicle was built, but McCarthy’s essay laid out the mission for other researchers to work toward.

No Hands Across America

Neural Network-Based Autonomous Driving

In the early 1990s, Carnegie Mellon researcher Dean Pomerleau wrote a Ph.D. thesis describing how neural networks could allow a self-driving vehicle to take in raw images from the road and output steering controls in real time. Pomerleau wasn’t the only researcher working on self-driving cars, but his use of neural nets proved way more efficient than alternative attempts to manually divide images into “road” and “non-road” categories.

In 1995, Pomerleau and fellow researcher Todd Jochem took their Navlab self-driving car system on the road. Their bare-bones autonomous minivan (they had to control speed and braking) traveled 2,797 miles coast-to-coast from Pittsburgh to San Diego in a journey the pair dubbed “No Hands Across America.”

The Grand Challenge is too challenging

DARPA announced its first Grand Challenge in 2002. It offered scientists from top research institutions a $1 million prize if they could build an autonomous vehicle able to navigate a 142-mile course through the Mojave Desert.

The challenge was held in 2004. None of the 15 participants was able to complete the course. The “winning” entry covered less than 8 miles in several hours before catching fire. It was a damaging blow to the goal of building real self-driving cars; after news of the fire made headlines, many assumed full autonomy was impossible to reach.

Parking gets smarter

Audi Piloted Parking (Audi's self-parking car)

While autonomous vehicles still looked like science fiction in the 2000s, self-parking systems began to emerge either as standard or optional equipment (and mostly on luxury cars). They demonstrated that sensors were close to being able to deal with relatively challenging real-world conditions, like parallel parking in a tight space.

Toyota’s hybrid Prius offered automatic parallel-parking assistance in 2003, while Lexus soon added a similar system to the LS, its flagship sedan. Ford launched Active Park Assist in 2009, and BMW followed a year later.

Google searches for an answer

Google secretly launched its Self-Driving Car Project in 2009. Known as Waymo in 2020, it was initially led by Sebastian Thrun, the former director of the Stanford Artificial Intelligence Laboratory and the co-inventor of Google Street View. It took a few years for the company to announce its prototypes had collectively driven 300,000 miles under computer control without a single accident, an impressive feat that caught many off-guard.

In 2014, it revealed an autonomous prototype without a steering wheel, a gas pedal, or a brake pedal; it was 100% autonomous. Waymo is widely hailed as the uncontested leader in self-driving technology.

The big car manufacturers dive in

By 2013, car companies including General Motors, Ford, Mercedes-Benz, and BMW were working on their own self-driving technologies. True autonomy proved more difficult to achieve than many assumed, both from a technical and a legal standpoint, and the technology available to consumers in the 2010s was partially automated at best.

The first autonomous car fatality

uber autonomous crash volvo
Claims that self-driving technology is safer than human drivers were called into question when one of Uber’s Volvo XC90-based prototypes hit and killed 49-year-old Elaine Herzberg as she crossed a street in Arizona. Although she was jaywalking, the crash was deemed entirely avoidable. Police officers concluded Uber’s safety driver (who is supposed to take over in the event of an emergency) was watching Hulu until half a second before the impact.

A.I. comes to self-driving cars


At CES 2018, Nvidia unveiled a new self-driving car chip, called Xavier, that incorporates artificial intelligence. The company then announced that it was partnering with Volkswagen to develop A.I. for future self-driving cars. While not the first effort to imbue autonomous cars with A.I. (Toyota was already researching the concept with MIT and Stanford), the Volkswagen-Nvidia collaboration is the first to connect A.I. to production-ready hardware. It opens up the possibility for self-driving cars to perform better, as well as for new convenience features like digital assistants.

What’s next?

In 2020, most automakers have cooled their self-driving car ambitions and taken a far more realistic approach to developing the technology. There is not a single autonomous car that members of the general public can buy, but some firms think they’re close to cracking the code. Billions of dollars and an enviable monopoly are at stake.

Tesla sells an option package named Full Self-Driving, but its cars aren’t autonomous by any means of measurement; the German government notably asked it to stop using this term. Volkswagen is developing the technology in-house, and it pledged to deploy retro autonomous vans during the 2022 World Cup. And German supplier Bosch joined forces with Mercedes-Benz parent company Daimler to put autonomous S-Class-based prototypes on the streets of San Jose. Other partnerships, projects, successes, and failures will undoubtedly emerge in the early 2020s.

Autonomy levels explained

While the terms “self-driving” and “autonomous” are thrown around a lot, not all vehicles have the same capabilities. The SAE autonomy scale is used to determine different levels of autonomous capability. Here’s a breakdown.

Level 0: No automation. The driver controls steering and speed (both acceleration and deceleration) at all times, with no assistance at all. This includes systems that only provide warnings to the driver without taking any action.

Level 1: Limited driver assistance. This includes systems that can control steering and acceleration/deceleration under specific circumstances, but not both at the same time.

Level 2: Driver-assist systems that control both steering and acceleration/deceleration. These systems shift some of the workload away from the human driver, but still require that person to be attentive at all times.

Level 3: Vehicles that can drive themselves in certain situations, such as in dense traffic on divided highways. Human intervention is not needed when autonomous mode is engaged, but the driver must be ready to take over when the vehicle encounters a situation that exceeds its limits.

Level 4: Vehicles that can drive themselves most of the time, but may need a human driver to take over in certain situations.

Level 5: Fully autonomous. Level 5 vehicles can drive themselves at all times, under all circumstances. They have no need for manual controls.

Editors' Recommendations

Ronan Glon
Ronan Glon is an American automotive and tech journalist based in southern France. As a long-time contributor to Digital…
Tesla hopes full self-driving beta will be out globally by the end of 2022
Beta of Tesla's FSD in a car.

At the Tesla AI Day 2022 event, the electric car maker revealed some key statistics about the Full Self Driving (FSD) tech that is currently still in the beta testing phase. The company divulged that the number of FSD beta testers has gone up from 2,000 last year to roughly 1,60,000 users in 2022, despite a few regulatory hiccups and incidents that raised questions about its safety.

Tesla still hasn’t provided a timeline for when the FSD package will formally exit the beta phase, but it doesn’t seem too far off. In a TED interview this year, Musk claimed that the FSD system, which now costs $15,000, will most likely be out by the end of 2022 for all customers. There are also plans for a global rollout by the end of this year, pending regulatory approval, of course.

Read more
Tesla to fix window software on 1M of its U.S. cars
A 2021 Tesla Model S.

Tesla is sending out an over-the-air update to a million of its vehicles in the U.S. to fix faulty window software that could leave occupants with pinched fingers.

According to a document issued by the National Highway Traffic Safety Administration (NHTSA), Tesla engineers discovered that the affected vehicles may not meet certain automatic window reversal system requirements. It said that in some cases, the window may exert more force before automatically retracting when sensing an obstruction such as a person’s fingers. The condition “may increase the risk of a pinching injury to the occupant,” the NHTSA’s document says.

Read more
Nvidia’s Drive Concierge will fill your car with screens
An interior view of Nvidia's Drive Concierge in-car infotainment system, showing various in-car displays in use.

At Nvidia’s GTC show today, the company announced two new systems in its in-car computing efforts, including a new product that could outfit your vehicle with an array of AI-powered screens and dashboards.

The first announcement is a new in-car infotainment system that includes graphics and visuals for drivers alongside game and movie streaming for passengers. Dubbed Drive Concierge, Nvidia says it will make driving “more enjoyable, convenient and safe.”

Read more