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

  • June 6, 2016
    Autonomous driving – what can we really expect?
    Dave Marples of Technolution BV looks beyond the hype to the practical implementation of autonomous vehicles. Having looked at the development of this sector for some time, I am concerned about the current state of autonomous driving development as engineering (and marketing) have run way ahead of the wider systemic, and legislative, requirements to support an autonomous future.
  • March 8, 2024
    Brigade steals a march on camera market
    AI Connected Dashcam is dual camera system using AI tech to provide event warnings
  • November 14, 2018
    Aimsun takes part in driver data study to improve C/AVs
    Aimsun is taking part in a UK study which is using human driver data to help improve the performance and acceptability of connected and autonomous vehicles (C/AVs). The one-year project, Learning through Ambient Driving Styles for Autonomous Vehicles (LAMBDA-V), will also look at how driver behaviour can be analysed and used to accelerate the adoption of C/AVs. Aimsun says new rules for safer and more efficient driving behaviour could be created from existing vehicles, based on road laws and on how h
  • March 29, 2023
    What are AVs doing in rural Ohio?
    Autonomous vehicle pilots so far have been typically sighted in urban areas. But researchers in rural regions of Ohio are now trying to find out exactly what benefits they could bring to the countryside