Brigade Electronics has had products independently tested to meet the requirements of the Direct Vision Standard (DVS) Phase Two.
Overview of Changes in the Direct Vision Standard for 2024
Changes to the DVS from October 2024 include an increased star rating from one star to three stars. If operators fall short of the minimum star rating, they must fit extra equipment to minimise blind spots. Previously the scheme for fitting extra safety equipment was called the safe permit but in October 2024, which will become the Progressive Safe system (PSS).
As well more stringent requirements for operators, Transport for London (TfL) have also increased the responsibility for original equipment manufacturer (OEMS) and component manufacturers, such as Brigade Electronics, to demonstrate the quality of devices for indirect vision.
One of these requirements includes conducting a test as laid out in the PSS technical specifications for both the side detection systems or Blind Spot information Systems (BSIS) and front detection or Moving Off Information systems (MOIS).
The specification states that the tests do not need to be done by a third party, but Brigade Electronics takes quality extremely seriously and wanted to have their BSIS and MOIS solutions independently verified, which would also increase the validity of claims that a product is certified to the latest DVS standards.
Comprehensive Testing and Certification of Brigade’s Safety Solutions at Loughborough University
Brigade presented products for testing to Loughborough University including Sidescan® Predict for rigid vehicles and Radar Predict for both rigid vehicles and articulated vehicles, also enabling coverage of the trailer. In addition, Brigade’s Front Radar was tested for the MOIS solution.
The PSS testing involved a static vehicle with detection zones mapped out around the vehicle. A vulnerable road user and cyclist were used to pass by the vehicle at multiple specified speeds on the nearside of the vehicle and at specified lateral distances from the vehicle edge.
Compliance with the distance and speed were demonstrated using calibrated and traceable measuring equipment and via markings on the test area which were evidenced in video documentation.
One of the key pass indicators in the test is that all of the sensors should provide an alert when the VRU is in the coverage area. So, for instance if any of the sensors fail to provide an alert, the system would not pass.
Based on the vehicle presented, Loughborough University provided a test report to confirm that Sidescan® Predict and Radar Predict had passed the requirements to meet the PSS specifications for BSIS and Front Radar for MOIS.
Manufacturers must also provide a sensor functionality statement that operators must upload when applying for their PSS permits. The senor functionality statement sets out basic functions that systems must meet in accordance with the technical specifications. These requirements include a specific alarm strategy based on time to collision, the minimisation of false alerts and how the system must be active regardless of indicator selection.
Loughborough University provided a test report to confirm that Brigade’s Sidescan® Predict and Radar Predict had passed the requirements to meet the PSS specifications for BSIS and Front Radar for MOIS.
Brigade’s DVS Solutions
Radar Predict
Using AI technology, the single dual-radar analyses data such as the speed and direction of both the vehicle and the cyclist. By differentiating between static and moving objects, the Radar Predict algorithm alerts the driver when an impact with a cyclist is likely.
Front Radar
Specifically designed to meet the 2024 DVS requirements, Brigade’s DVS Front Radar is an advanced dual-radar collision prediction system with a 180° detection angle to the front of the vehicle. The driver is alerted through visual and audible signals if a vulnerable road user is detected in close proximity.
Sidescan® Predict
Utilising ultrasonic technology, this intelligent system predicts if a collision is likely to occur. By analysing data such as speed, direction and acceleration of both the vehicle and detected object, and differentiating between static and moving objects, the Sidescan® Predict algorithm assesses the risk and calculates the likelihood of an impact.
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