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

  • Peru highway speeds up incident detection time with Valerann
    February 23, 2024
    Average on Lima Expresa network was 12 minutes - now it's five with data fusion approach
  • Foundation funds research for informed campaigning
    April 29, 2015
    ITS International talks to Professor Stephen Glaister, director of the transport research and lobbying organisation, the RAC Foundation. It is through the eyes of an economist that Professor Stephen Glaister, emeritus professor of transport and infrastructure at Imperial College London and director of the RAC Foundation, views current and future transport problems. Having spent 30 years at the London School of Economics and another 10 at Imperial, the move to the RAC Foundation was a radical departure from
  • Honda world first can detect the potential for traffic congestion
    April 27, 2012
    Honda Motor Company has announced the successful development of what it claims is the world’s first technology to detect the potential for traffic congestion and determine whether the driving pattern of the vehicle is likely to create traffic jams. The company developed this technology while recognising that the acceleration and deceleration behaviour of one vehicle influences the traffic pattern of trailing vehicles and can trigger the traffic congestion.
  • Derq embarks on smart corridor project 
    December 14, 2021
    Derq software will detect 'near miss' interactions at intersections and pavements