Skip to main content

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.

Related Content

  • May 15, 2017
    University research shows a few self-driving cars can improve traffic flow
    The presence of just a few autonomous vehicles can eliminate the stop-and-go driving of the human drivers in traffic, along with the accident risk and fuel inefficiency it causes, according to new research by the University of Illinois at Urbana-Champaign. Funded by the National Science Foundation’s Cyber-Physical Systems program, the research was led by a multi-disciplinary team of researchers with expertise in traffic flow theory, control theory, robotics, cyber-physical systems, and transportation engine
  • May 18, 2018
    New ANPR solutions overcome variables
    The sheer range of variables makes it difficult to find a single algorithm to ensure a 100% standard of ANPR. David Crawford investigates new processing technology. Automatic number plate recognition (ANPR), using optical character recognition and image-processing to identify vehicles, plays key roles in traffic monitoring and law enforcement, access and parking control, electronic toll collection, vehicle security and crime deterrence. Overall, system performance is well rated, with high levels of
  • October 24, 2012
    New joint report outlines EU and US cooperation on connected vehicle standards
    The United States and the European Union (EU) are working together to foster international connected vehicle research and international harmonisation of the technology and standards necessary for broad deployment of connected vehicle systems.
  • November 29, 2022
    ITS Australia Awards: finalists revealed
    Cisco, Moovit and Q-Free are among the companies up for 13th ITS Australia Annual Awards