Autoliv and MIT AgeLab to collaborate in the research of autonomous vehicle systems
Autoliv, Inc. (NYSE: ALV and SSE: ALIVsdb), the worldwide leader in automotive safety systems, signs research agreement with the Massachusetts Institute of Technology AgeLab. The two-year long research collaboration aims to develop a semi-autonomous vehicle prototype that demonstrates the future of human-centered artificial intelligence in the automotive space.
The mission of this research collaboration is to provide for the development of artificial intelligence systems that understand and manage the state of the driver to create a safe and enjoyable experience in semi-autonomous vehicles. At the core of the research effort, is the development and real world evaluation of deep learning algorithms that enable effective communication and transfer of control between human and machine. This includes sensing driver gaze, emotion, cognitive load, drowsiness, hand position, posture, and fusing this information with the perception of the driving environment to create safe, reliable vehicles that drivers can learn to trust.
“We are looking to lead the world in the application of state-of-the art deep learning methods for semi-autonomous vehicle systems in a way that ensures the human being is the core focus of every algorithm and interface we build,” says Lex Fridman, MIT. “It is clear that the global focus on autonomous vehicles must begin to consider increased investment in human centered vehicle system that support appropriate driver engagement through trusted safety and an enjoyable mobility experience,” says Bryan Reimer, MIT. “We believe that drivers will be traversing the world’s roadways for decades to come as higher levels of automation steadily increases.”
“Today, 1.4 million people die in traffic fatalities every year. Investments in vehicle automation such as Advanced Driver Assistance Systems (ADAS) will increase road safety, but the introduction of assistance technology is not enough. To save more lives, we need to establish trust between the driver and the car’s intelligence. I am confident that this collaboration with leading researchers will accelerate the industry’s ability to deliver future safety solutions,” says Ola Boström, VP Research at Autoliv.
Learnings from the research collaboration will likely be used in the development of software from Zenuity, the software joint venture of Autoliv and Volvo Cars.
Thomas Jönsson, Group Vice President Communications. Tel +46 (0)8 58 72 06 27
Autoliv, Inc. is the worldwide leader in automotive safety systems, and through its subsidiaries develops and manufactures automotive safety systems for all major automotive manufacturers in the world. Together with its joint ventures, Autoliv has more than 80 facilities with 70,000 employees in 27 countries. In addition, the Company has 22 technical centers in ten countries around the world, with 19 test tracks, more than any other automotive safety supplier. Sales in 2016 amounted to about US $10.1 billion. The Company’s shares are listed on the New York Stock Exchange (NYSE: ALV) and its Swedish Depository Receipts on Nasdaq Stockholm (ALIV sdb). For more information about Autoliv, please visit our company website at www.autoliv.com.
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This report contains statements that are not historical facts but rather forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Such forward-looking statements include those that address activities, events or developments that Autoliv, Inc. or its management believes or anticipates may occur in the future. All forward-looking statements, including statements regarding the ability of the parties to successfully collaborate in researching artificial intelligence technology for vehicles, are based upon our current expectations, various assumptions and data available from third parties. Our expectations and assumptions are expressed in good faith and we believe there is a reasonable basis for them. However, there can be no assurance that such forward-looking statements will materialize or prove to be correct as forward-looking statements are inherently subject to known and unknown risks, uncertainties and other factors which may cause actual future results, performance or achievements to differ materially from the future results, performance or achievements expressed in or implied by such forward-looking statements. Numerous risks, uncertainties and other factors may cause actual results to differ materially from those set out in the forward-looking statements. For any forward-looking statements contained in this or any other document, we claim the protection of the safe harbor for forward-looking statements contained in the Private Securities Litigation Reform Act of 1995, and we assume no obligation to update publicly or revise any forward-looking statements in light of new information or future events, except as required by law.