Skip to main content

Camera-based DMS to be chief enablers of safe, semi-autonomous driving, says research

ABI Research has identified camera-based driver monitoring systems (DMS) as the chief enablers of safe, semi-autonomous driving. The market is forecast to reach 17.5 million camera-based DMS shipments in 2026. Biometric availability encompasses the driver's alertness, his or her engagement with the driving process and even the driver's ability to manually interact with the system as required. The key to enabling such a holistic driver monitoring system (DMS) is the use of internal cameras, either stereos
October 21, 2016 Read time: 2 mins
5725 ABI Research has identified camera-based driver monitoring systems (DMS) as the chief enablers of safe, semi-autonomous driving. The market is forecast to reach 17.5 million camera-based DMS shipments in 2026.

Biometric availability encompasses the driver's alertness, his or her engagement with the driving process and even the driver's ability to manually interact with the system as required. The key to enabling such a holistic driver monitoring system (DMS) is the use of internal cameras, either stereoscopic or time-of-flight, to identify and track facial features, gaze direction, and upper body position. ABI Research identifies a number of vision analytics companies active in this space, including EDGE3 Technologies, FotoNation, Jungo Connectivity and gestigon.

According to James Hodgson, industry analyst at ABI Research, a number of semi-autonomous system launches from OEMs like Mercedes-Benz, Nissan, and Tesla have highlighted the importance of a robust human machine interface, or HMI, in scenarios that require an automated system to work in tandem with a human driver. Leveraging camera-based DMS to provide the host autonomous system with a comprehensive understanding of the driver's biometric availability is the foundation of safe, semi-autonomous HMI.

"In many ways, this represents a new cost burden to OEMs looking to deploy semi-autonomous systems," concludes Hodgson. "As gesture control and driver identification emerge as popular features to justify the additional cost of an autonomous system to the end users, OEMs are exploring how these new features can be offered via the enabling hardware for next generation DMS, in order to capitalise on this movement."

Related Content

  • June 13, 2014
    EV inductive charging set to gain traction
    New analysis from Frost & Sullivan, Strategic Analysis of Inductive Charging for Global Electric Vehicles (EV) Market, finds that the total market for inductive charging is expected to experience a compound annual growth rate of 126.6 per cent from 2012 to 2020, with approximately 351,900 units likely to be sold. Inductive charging will account for 1.2 per cent of both public and residential charging in North America and more than 2.6 per cent in Europe. Residential charging will be the most popular method,
  • January 6, 2015
    Big data, virtualisation to dominate smart transportation says ABI Research
    ABI Research’s latest report, Smart Transportation Market Research, covers ITS data, physical roadside transportation infrastructure virtualisation technologies and a systems approach to transportation management, as well as relevant connectivity, analytics, cloud platform, security and identity technologies. Traditional smart transportation approaches to address traffic congestion, safety, pollution, and other urbanisation challenges are expected to hit scalability and efficiency obstacles by the end of
  • October 7, 2016
    Gartner says connected car production to grow rapidly over next five years
    Connected car production is growing rapidly in both mature and emerging automobile markets, according to the latest forecast by Gartner, Forecast: Connected Car Production, Worldwide. The production of new automobiles equipped with data connectivity, either through a built-in communications module or by a tether to a mobile device, is forecast to reach 12.4 million in 2016 and increase to 61 million in 2020.
  • October 23, 2015
    TRL to contribute to new autonomous vehicle research programme
    The UK’s Transport Research Laboratory (TRL) the, has announced it is part of a new US$17 million five-year research programme to develop fully autonomous cars. The programme, jointly funded by Jaguar Land Rover and the Engineering and Physical Sciences Research Council (EPSRC), will look at some key technologies and questions that need to be addressed before driverless cars can be allowed on the roads without jeopardising the safety of other road users, including cyclists and pedestrians. TRL is the on