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 11, 2015
    Machine vision’s image of road management’s future
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi
  • February 11, 2016
    US regulator ‘paves the way for Google’s self-driving car’
    A letter to Google, the US federal transport regulator, National Highway Traffic Safety Administration (NHTSA), appears to pave the way for self-driving cars, but adds the proviso that the rule-making could take some time. Google had requested clarification of a number of provisions in the Federal Motor Vehicle Safety Standards (FMVSSs) as they apply to Google’s described design for self-driving vehicles (SDVs). “If no human occupant of the vehicle can actually drive the vehicle, it is more reasonable
  • February 28, 2025
    Fare game with Cubic's FEnX
    New gate can accurately detect, record and flag fare evasion as it’s happening
  • July 18, 2024
    PTV drives into simulation of automotive development
    PTV Vissim Automotive designed to create responsive digital vehicle testing environment