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."

For more information on companies in this article

Related Content

  • Intertraffic Awards 2022: shortlist announced!
    February 4, 2022
    Winners will be revealed at the opening ceremony of Intertraffic Amsterdam in March
  • The red light camera choice: 60 killed or save US$231 million a year
    June 5, 2015
    David Crawford investigates new cost-benefit analysis of red light cameras. US states can now realistically calculate the economic benefits of using red light safety cameras, alone or in combination with other measures, to cut road traffic accident levels. The results could be of material value in making the case for the cameras as a number of state legislatures continue to debate their acceptability.
  • Global number of car sharing users to reach 650 million by 2030
    March 12, 2015
    Car and ride sharing is just one example of the new on-demand economy allowing real-time matching of supply and demand through connected smartphone applications. According to ABI Research, successive forms of vehicle sharing approaches represent paradigm shifts in uptake and popularity; each new generation seeing adoption rates at least an order of magnitude larger than the previous: Car sharing 1.0 - street rental service: Cars parked on the street can be located, unlocked, used, and left behind. Examples
  • Inrix, Big Data & the fine art of anonymity
    January 9, 2025
    How do you protect personal privacy while still allowing data to be of use in intelligent transportation? Ahmed Darrat of Inrix offers some thoughts on finding that balance...