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

  • Mercedes traffic tech set for Long Beach 
    September 30, 2021
    Intelligent intersection control system aims to safely adapt traffic signal timing
  • Huawei opens door to new opportunities in transport & logistics
    December 18, 2024
    By addressing the four key elements of a transportation network’s composition with a state-of-the-art digital solution, Huawei is bringing significant performance uplifts to all aspects of railway operations
  • Kistler Group shows KiTraffic WIM solutions
    March 19, 2018
    The Kistler Group is showcasing its comprehensive KiTraffic Weigh-in-Motion (WIM) solutions, which support road owners and authorities in road and traffic monitoring, weight enforcement and weight-based tolling. The extended service package facilitates a wide range of applications and ensures high performance throughout the system’s lifecycle. KiTraffic Plus is a new WIM solution for automated road monitoring. Applications include weight enforcement and toll-by-weight. With its Lineas quartz sensors, KiTra
  • Missouri’s smart solution for rural road monitoring
    July 7, 2017
    David Crawford sees how Missouri is using commercially available information to rapidly improve monitoring and driver information on rural highways. Missouri is a predominantly rural state with the second largest number of farms in the country and agriculture the main occupation in 97 of its 114 counties. US statistics starkly reveal how road accidents in rural areas tend to be more serious than in urban regions and of the 32,000 US motorists killed each year, 54% die on roads in rural areas even though onl