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

  • Weigh in motion reduces road wear, increases toll revenue
    January 24, 2012
    IRD, Inc's Terry Bergan discusses future applications of weigh in motion technology. The application in recent years of Weigh In Motion (WIM) at tollgates has been driven by recognition of the fact that there is economic value, which can be levied, attached to Heavy Goods Vehicles (HGVs) which haul laden (and are therefore heavy) rather than empty. As wear and damage to road surfaces increases exponentially with weight, the targeting of HGVs in particular makes sense from both the economic and maintenance p
  • Grey areas: who's legally responsible for C/AVs?
    October 22, 2018
    Connected and autonomous vehicles are an exciting development in the ITS sector – but amid the hype some big questions about their deployment remain unanswered, finds Ben Spencer Connected and autonomous vehicles (C/AVs) have the potential to change the way we travel - and to eliminate road fatalities. But policy makers and regulators will need to ensure user and public safety is included in future planning. The legal and insurance industries will have to catch up, too. For example, questions over who is
  • Spin pledges £100,000 to mobility research
    December 3, 2020
    Initial focus is on safety and will include data from Vivacity Labs' AI and IoT sensors 
  • New joint report outlines EU and US cooperation on connected vehicle standards
    October 24, 2012
    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.