Skip to main content

Brigade detects potential collisions

Algorithm designed to calculate risk of a vehicle hitting cyclists and pedestrians nearby
By Ben Spencer November 24, 2021 Read time: 2 mins
Brigade's system can be used on coaches and buses with a maximum length of 5.2m (image credit: Brigade Electronics)

Brigade Electronics has launched a predictive collision system which it says can warn a driver with sufficient time for intervention. 

SideScan Predict uses artificial intelligence to constantly gather object detection data such as the speed and distance of a cyclist or other vulnerable road user from the lorry. Additional technology is embedded within the system to gather information like the speed, direction, acceleration, and the turning rate of a vehicle.

This data feeds an algorithm created by Brigade to calculate the risk of a collision with cyclists and pedestrians who are nearby the vehicle.

Brigade says the system will always remain switched on when the vehicle’s speed is below 22mph, regardless of the indicator selection.

The company explains that this is particularly important as some drivers become irritated by false alerts and therefore will avoid using their indicator so their system does not trigger alerts, potentially putting vulnerable road users at risk.

The system is designed for coaches and buses with a maximum length of 5.2m. 

According to Brigade, the solution comprises six sensors with a detection area of 2.5m, which helps to reduce the risk of fatalities by an additional 84%. 

An auto brightness feature adapts Sidescan Predict to lighting conditions in the cabin, so the visual alert is not lost among the numerous lights present in a cab. Additionally, an in-cab visual alert indicates if the system has a failure. 

Emily Hardy, marketing manager of Brigade Electronics UK, says: “Unlike existing systems, which simply register the presence of a potential obstacle, Sidescan Predict is constantly gathering data in a vehicle’s vicinity. This provides additional benefits to operators by significantly reducing false alarms and increasing confidence in the accuracy of warning alerts.”
 

For more information on companies in this article

Related Content

  • Olympic challenges in Sochi
    May 27, 2014
    Sporting events always create problems for traffic planners and none more so than the Winter Olympics. It is difficult to think of more diametrically opposite challenges for transport planners than the 2012 Olympics in London and this year’s Winter Olympics in Sochi: from a summer event in the heart of a megacity with well established transport infrastructure to winter games with unpredictable weather and events in remote and mountainous locations. The Winter Games are always a challenge and Sochi was no di
  • Xerox launches passenger detection system for HOV/HOT lanes
    April 4, 2014
    Recognising that the benefits of high occupancy carpooling lanes are severely limited when motorists do not abide by the rules, Xerox has launched its vehicle passenger detection system, a HOV/HOT lane compliancy test system that uses Xerox video analytics to identify the number of occupants in a vehicle. Unlike competing solutions, the Xerox system identifies the number of occupants in a vehicle with better than 95 per cent accuracy at speeds ranging from stop-go traffic to 100 mph. Using patented vi
  • How safe are smart motorways?
    March 3, 2020
    A valiant attempt to ease the UK’s congested strategic road system? Or an idea that should never have seen the light of day? Alan Dron reports on the controversy over smart motorways...
  • Waze adds Applied auto alerts
    January 23, 2023
    School beacons, emergency vehicles & faulty traffic signals automatically post notifications