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Groupement ADAS : Advanced Driver Assistance Systems
11 avril 2020

The Self-Driving Car Timeline – Predictions from the Top 11 Global Automakers

The Self-Driving Car Timeline – Predictions from the Top 11 Global Automakers

3D-Object Detection for Autonomous Vehicles - Towards Data Science

A company by company examination of the top car makers public investment and statements by their top executives makes it clear that most car companies are betting that artificial intelligence utilized in self-driving will be inevitable, and they’re all jumping in with investment and initiatives.

With billions of dollars in R&D and acquisitions, there’s plenty of fodder for media hype in machine learning, but there haven’t been many concerted efforts to bring together the facts and answer fundamental questions, such as:

  • What do companies like Ford, GM, BMW and others have as their self-driving car timelines?
  • What have the major automakers invested in their self-driving initiatives, in terms of internal investment and acquisitions?

At Emerj, the AI Research and Advisory Company, we provide business leaders with insight on how AI will affect their industry in the short and long-term and what they need to do to compete in the market. Part of our AI Opportunity Landscape methodology involves research into what executives at the top players in a given industry are saying about how their companies are investing in AI.

In this article, we do just that—laying out research and CEO quotes to determine the self-driving timelines of the world’s 11 largest automakers. All businesses and industries will be impacted by the impending transitions in autonomous vehicle tech, and we aim to put the most relevant facts together for business leaders and auto enthusiasts alike.

First, we’ll break down what “self-driving” means (in it’s 5 different levels of autonomy). The rest of the article will be an ordered list of the 11 top automakers, followed by their predictions, executive quotes, and any noteworthy financial data about their self-driving initiatives.

Defining “Self-Driving” in Levels

“Self-driving” is a rather vague term with a vague meaning. For this article, we’ll be referencing the “self-driving levels” as defined by the SAE International, which can be viewed below:

SAE's levels of autonomySource: SAE International – Levels of Driving Automation

This means the vehicle can safely drive itself under specific conditions but the driver will need to quickly intervene when called on. This is a car that could drive itself on the highway while you watch a movie but would need you to take control when you get off the highway. Some may view this as only partially self-driving.

  • Level 1 automation some small steering or acceleration tasks are performed by the car without human intervention, but everything else is fully under human control
  • Level 2 automation is like advance cruise control or original autopilot system on some Tesla vehicles, the car can automatically take safety actions but the driver needs to stay alert at the wheel
  • Level 3 automation still requires a human driver, but the human is able to put some “safety-critical functions” to the vehicle, under certain traffic or environmental conditions. This poses some potential dangers as humans pass the major tasks of driving to or from the car itself, which is why some car companies (Ford included) are interested in jumping directly to level 4
  • Level 4 automation is a car that can drive itself almost all the time without any human input, but might be programmed not to drive in unmapped areas or during severe weather. This is a car you could sleep in.
  • Level 5 automation means full automation in all conditions

Since these levels don’t mean much to people outside the industry, car makers often don’t talk about their technology in these specific SAE terms. The big potential promise for people is either car that drive themselves for a large part of a person’s highway commute (level 3) or cars that can drive themselves almost as long as you live in a covered metropolitan area (level 4).

As you read the rest of this article, it will be useful to understand that most executives referring to “self-driving” are referring to levels 3 and 4. Whenever possible, we distinguish between what kind of self-driving a specific executive is speaking about (i.e. Highway autonomy, or full metropolitan autonomy).

GM – Self-Driving Beyond 2020

In 2016, GM spent $581 million to acquire Cruise Automation, and in 2017, CEO Mary Barra wrote, “We expect to be the first high-volume auto manufacturer to build fully autonomous vehicles in a mass-production assembly plant.” The company intended to focus its self-driving car efforts on a ride-hailing service.

As such, in early 2017, Reuters reported that GM was rumored to have plans to deploy thousands of self-driving electric cars in 2018 with its ride-sharing affiliate Lyft. GM spent $500 million to buy part 9 percent stake in Lyft as part of its strategy to create an integrated network of on-demand autonomous vehicles.

Making mobility as a service the first use of GM self-driving cars has several clear advantages. It means these cars will only need to be programmed to operate in a limited geographic area. The significant external hardware additions needed for autonomous systems in cars might also turn away average car buyers in favor of something more traditional and pleasing to the eye.

Read more : https://emerj.com/ai-adoption-timelines/self-driving-car-timeline-themselves-top-11-automakers/

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Groupement ADAS is a Team of innovative companies with over 20 years experience in the field of technologies used in assistance driver systems (design, implementation and integration of ADAS in vehicles for safety features, driver assistance, partial delegation to the autonomous vehicle).

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