Skip to main content

Seeing Machines releases monitoring system for autonomous research vehicles

Australian technology company Seeing Machines says its monitoring system for autonomous research vehicles will help drivers remain alert and ready to take back control of driving tasks. The company says the Guardian Backup-driver Monitoring System (Guardian BdMS) was designed to improve safety for on-road testing of autonomous and semi-autonomous vehicles. The retrofit solution tracks the driver’s face and eyes during on-road automated or semi-automated vehicle testing. It also tracks the driver’s
September 13, 2018 Read time: 1 min
Australian technology company 7861 Seeing Machines says its monitoring system for autonomous research vehicles will help drivers remain alert and ready to take back control of driving tasks.


The company says the Guardian Backup-driver Monitoring System (Guardian BdMS) was designed to improve safety for on-road testing of autonomous and semi-autonomous vehicles.

The retrofit solution tracks the driver’s face and eyes during on-road automated or semi-automated vehicle testing. It also tracks the driver’s on-road attention and identifies distracted behaviour.

Guardian BdMS utilises the company’s Fovio driver monitoring technology in a retrofit system for the Society of Automotive Engineers’ Level 3 to Level 5 test vehicle fleets.

Related Content

  • February 21, 2018
    Autonomous vehicles, smart cities: moving beyond the hype
    There is a lot of excited chatter about autonomous vehicles – but 2getthere’s Robbert Lohmann suggests we might need to take a step back and look realistically at what is achievable. You might be surprised that the chief commercial officer of a company delivering autonomous vehicles would begin an article with the suggestion that we need to get past the hype. And yet I do; because we have to, and urgently so. The hype prevents the development of autonomous vehicles that address actual transit needs. And
  • September 7, 2018
    Affectiva and Nuance to develop humanised automotive assistant
    US company Affectiva plans to develop a joint automotive assistant which detects driver distraction and drowsiness and voices recommendations such as navigating to a coffee shop. The solution is intended to align its dialogue to a motorist’s emotional state based on facial and verbal expressions. The integrated solution will combine the Affectiva Automotive AI solution with UK-based Nuance Communications’ Dragon Drive platform. Affectiva Automotive AI measures facial expressions and emotions such as anger
  • December 6, 2018
    Affectiva and Nuance to offer assistance
    US company Affectiva plans to develop a joint automotive assistant which detects driver distraction and drowsiness and voices recommendations such as navigating to a coffee shop. The solution is intended to align its dialogue to a motorist’s emotional state based on facial and verbal expressions. The integrated solution will combine the Affectiva Automotive AI solution with UK-based Nuance Communications’ Dragon Drive platform. Affectiva Automotive AI measures facial expressions and emotions such as ange
  • October 17, 2019
    Getting C/AVs from pipedream to reality
    The UK government has suggested that driverless cars could be on the roads by 2021. But designers and engineers are grappling with a number of difficult issues, muses Chris Hayhurst of MathWorks Earlier this year, the UK government made the bold statement that by 2021, driverless cars will be on the UK’s roads. But is this an achievable reality? Driverless technology already has its use cases on our roads, with levels of autonomy ranked on a scale. At one end of the spectrum, level 1 is defined by th