Automotive Fleet
MenuMENU
SearchSEARCH

BMW to Sell Fully Autonomous Car by 2021

The companies hope to align the industry on a standards-based platform to accelerate bringing self-driving vehicles to market.

by Staff
July 1, 2016
BMW to Sell Fully Autonomous Car by 2021

Photo courtesy of BMW.

3 min to read


Photo courtesy of BMW.

BMW Group, Intel, and Mobileye are collaborating in the quest to bring fully automated driving technologies into series production by 2021, BMW Group said.

The three partners, according to BMW, are committed to development of an industry standard and an open platform for autonomous driving. The common platform will address Level 3 to Level 5 automated driving and will be made available to multiple car vendors and other industries.

Ad Loading...

“This partnership underscores our strategy to shape the individual mobility of the future,” said Harald Krüger, BMW AG chairman of the board. “Following our investment in high definition live map technology at HERE, the combined expertise of Intel, Mobileye and the BMW Group will deliver the next core building block to bring fully automated driving technology to the street.”

The companies have agreed to a set of milestones. In the near term, they will demonstrate an autonomous test drive with a highly automated driving prototype. In 2017, the platform will extend to fleets with extended autonomous test drives.

To handle the complex workloads required for autonomous cars in urban environments, Intel will provide the necessary compute power. Mobileye will contribute its expertise in sensing, localization, and driver policy.

The National Highway Traffic Safety Administration defines vehicle automation as having five levels:

No-Automation (Level 0): The driver is in complete and sole control of the primary vehicle controls — brake, steering, throttle, and motive power — at all times.

Ad Loading...

Function-specific Automation (Level 1): Automation at this level involves one or more specific control functions. Examples include electronic stability control or pre-charged brakes, where the vehicle automatically assists with braking to enable the driver to regain control of the vehicle or stop faster than possible by acting alone.

Combined Function Automation (Level 2): This level involves automation of at least two primary control functions designed to work in unison to relieve the driver of control of those functions. An example of combined functions enabling a Level 2 system is adaptive cruise control in combination with lane centering.

Limited Self-Driving Automation (Level 3): Vehicles at this level of automation enable the driver to cede full control of all safety-critical functions under certain traffic or environmental conditions. The driver is expected to be available for occasional control, but with sufficiently comfortable transition time. The Google car is an example of limited self-driving automation.

Full Self-Driving Automation (Level 4): Vehicles at this level are designed to perform all safety-critical driving functions and monitor roadway conditions for an entire trip. Such a design anticipates that the driver will provide destination or navigation input, but is not expected to be available for control at any time during the trip. This includes both occupied and unoccupied vehicles.

Full Self-Driving Automation With No Option for Human Driving (Level 5): Vehicles at this level are fully autonomous and have no option for human driving — no steering wheel or controls.

More Safety

A person with hands on the steering wheel driving
Safetyby Judie NuskeyMay 15, 2026

The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle

Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.

Read More →
Hail covers the windshield and hood of a black vehicle with text overlay about FLASH Weather AI’s new hail prediction model.
Safetyby News/Media ReleaseMay 13, 2026

FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting

FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.

Read More →
Coca-Cola fleet executive smiling beside graphic text reading “Rolling Dollar Signs” about the company’s trucking and fleet strategy.
Safetyby Chris BrownMay 12, 2026

How Coca-Cola United Protects Its Fleet from Growing Legal Risk

As litigation risk rises, vehicles are increasingly targeted. This Coca-Cola bottler shares how it’s reducing exposure through driver training, technology, and a proactive risk management approach.

Read More →
Ad Loading...
Two trucking industry workers talk in front of semi-trucks beside text reading, “The issue isn’t lack of safety technology — it’s lack of alignment.”
SafetyMay 12, 2026

How to Speak the Same Language on Fleet Safety

Drivers, supervisors, and data often speak different safety “languages.” Getting on the same page will drive better results.

Read More →
pictures of a lock with the words Cybersecurity 101
Safetyby Jeanny RoaMay 11, 2026

Fleet Cybersecurity 101: What You Need from Your Technology Vendors

From identity management to third-party certifications, the right technology partner should make security easier to manage. Here are the three building blocks that fleet managers need to stay in control as connected systems scale.

Read More →
Chris Brown sits across from safety experft at Lifesaver mobile in an interview about distracted driving and phone use tech.
Safetyby Chris BrownMay 1, 2026

Reducing Risk by Eliminating Phone Use Behind the Wheel

Distracted driving remains one of the most persistent risks in fleet operations. New approaches focus on removing mobile device use entirely while adding real-time safety support.

Read More →
Ad Loading...
Safetyby Jeanny RoaApril 15, 2026

Distracted Driving in the Age of Smart Tech – Part 2

As distraction risks evolve, fleets are turning to smarter, more connected technologies to better understand what’s happening behind the wheel. Part 2 explores how these tools are helping identify risky behaviors and improve visibility across operations.

Read More →
Safetyby Jeanny RoaApril 11, 2026

 Data Rights, Risks, and Responsibilities After a Crash

What fleets capture to improve safety can also expose them in litigation, forcing leaders to rethink how data is managed, stored, and shared.

Read More →
Driver holding a phone while steering, illustrating distracted driving and the importance of mental awareness and attention on the road for fleet safety.
Safetyby Judie NuskeyApril 10, 2026

From Distraction to Detection: Strengthening Awareness in Fleet Drivers

Distracted driving is often measured by what we can see—phones in hand, eyes off the road. But what about the distractions we can’t? A recent incident raises a bigger question about awareness, attention, and why subtle risks so often go unnoticed.

Read More →
Ad Loading...
Safetyby StaffApril 8, 2026

Lytx 2026 Road Safety Report

While serious crashes are declining, a rise in minor incidents and ongoing risk hotspots underscore the need for continued fleet safety investment.

Read More →