Allstate Insurance partners with Stanford University on AV research

Allstate Insurance Company is to work with the Intelligent Systems Laboratory at Stanford University, California to learn about and contribute to the tools and standards related to autonomous vehicles. The research project scope includes machine learning, artificial intelligence and highly autonomous vehicle systems. “We are proactively embracing and participating in the evolving landscape around personal transportation through our work with world-class institutions at the forefront of this automotive
December 19, 2016 Read time: 1 min
4941 Allstate Insurance Company is to work with the Intelligent Systems Laboratory at Stanford University, California to learn about and contribute to the tools and standards related to autonomous vehicles.

The research project scope includes machine learning, artificial intelligence and highly autonomous vehicle systems.

“We are proactively embracing and participating in the evolving landscape around personal transportation through our work with world-class institutions at the forefront of this automotive revolution,” says Allstate’s senior vice president of Product Innovation, Howard Hayes.

Allstate sees an autonomous vehicle future more as a matter of when, not if, according to its director of Innovation and Research, Sunil Chintakindi, who will lead the project for the insurer. “Allstate has long supported auto highway and safety reforms like seat belts, air bags and teen driver education. This is the logical next step as driverless technology continues to evolve,” he said.
Location Based Systems

For more information on companies in this article

Related Content

  • Machine vision - cameras for intelligent traffic management
    January 25, 2012
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
    Read More
  • Bringing V2I and V2V communications to workzone safety
    January 26, 2012
    Imran Hayee of the University of Minnesota Duluth's Department of Electrical and Computer Engineering talks about efforts to bring V2I and V2V communications into work zones. With USDOT backing and under the auspices of the ITS Joint Program Office Connected Vehicle Research (formerly IntelliDrive) research programme, M. Imran Hayee of the University of Minnesota Duluth's Department of Electrical and Computer Engineering along with team of his students, have been conducting research into the application of
    Read More
  • U-M offers open-access automated cars to advance driverless research
    November 22, 2016
    The University of Michigan (U-M) is offering use of its new research vehicles as test beds for academic and industry researchers to test self-driving and connected vehicle technologies at its proving ground. These open connected and automated research vehicles, or open CAVs, are equipped with sensors including radar, lidar and cameras, among other features and will be able to link to a robot operating system. An open development platform for connected vehicle communications will be added later. The op
    Read More
  • New survey shows technology revolutionising tolling
    September 14, 2016
    Advances in electronic tolling are transforming highway transportation by providing greater mobility, smoother traffic flow, and improved safety for drivers and their passengers, according to new survey data released by the International Bridge, Tunnel and Turnpike Association (IBTTA). The new survey, Toll Technology Transforms Mobility for Customers, conducted during the third quarter of 2016, collected technology-related data from 36 tolling facilities in 18 states, representing all regions of the cou
    Read More

Highlighted Content