Continental and Oxford University jointly researching artificial intelligence

International technology company Continental and the Department of Engineering Science at the University of Oxford are now conducting joint research in the field of artificial intelligence in a partnership which will focus on the possible uses and development of artificial intelligence algorithms, which have the potential to further enhance future mobility applications. These deep-learning algorithms have the potential to deliver future visual object detection and human–machine dialogue.
November 11, 2016 Read time: 2 mins

International technology company 260 Continental and the Department of Engineering Science at the University of Oxford are now conducting joint research in the field of artificial intelligence in a partnership which will focus on the possible uses and development of artificial intelligence algorithms, which have the potential to further enhance future mobility applications. These deep-learning algorithms have the potential to deliver future visual object detection and human–machine dialogue.

Continental expects the partnership to yield findings on the use of artificial intelligence methods, including in the areas of automated and autonomous driving, the improvement of future vehicle access systems, accident minimisation through intelligent warning systems, and the sensitive dialogue that will take place in the future between drivers and vehicles – between humans and their machines.

The first phase of the proposed three-year partnership began in early November 2016 and includes new postdoctoral research positions at Oxford. There are plans to extend the research scope and the time frame at a later date.

Location Based Systems

For more information on companies in this article

Related Content

  • Aimsun enters partnership to develop tool for managing mixed-autonomy traffic
    January 15, 2019
    Aimsun has partnered with UC Berkeley’s Institute of Transportation Studies to develop Flow, a tool for managing large-scale traffic systems where human-driven and autonomous vehicles (AVs) operate together. Flow offers a suite of pre-built traffic scenarios and is now integrated with Aimsun Next mobility modelling software. The open source architecture knits together microsimulation tools with deep reinforcement learning libraries in the cloud. Launched last September, Flow allows users to build and
    Read More
  • Vitronic tests sensor tech in Hamburg
    May 24, 2021
    Vitronic aims to improve VRU safety using V2X on German city's real-world 'test' track
    Read More
  • Orange County to manage traffic with trial interoperable CCTV
    September 12, 2014
    Interoperable CCTV can provide early warning of problems and help improve traffic management and incident response as Morteza Fahrtash and Carlos Ortiz explain. California’s transportation system is one of the state’s defining features and Caltrans (California Department of Transportation) strives to improving mobility across the state through the design, construction, operation and maintenance of the network of highway, freeways, toll roads and expressways.
    Read More
  • Russia's high speed toll link - aims and opportunities
    July 31, 2012
    Construction of a new toll link between the Russian capital of Moscow and the country's second-largest city, the port of St Petersburg, is due to start in 2012. Here, ITS International takes look at the project to date and the opportunities for foreign companies to get involved. The construction of a new toll link between the Russian capital Moscow and the country's second-largest city St Petersburg has a number of aims. It will lead to the creation of a high-speed vehicular link between the two which will
    Read More

Highlighted Content