Vision-Based Warning System for Maintenance Personnel on Short-Term Roadwork SiteAuthor/Presenter: Ni, Xiao; Perera, Walpola Layantha; Kühnel, Carsten; Vollrath, Christian
Researchers propose a vision-based warning system for the maintenance personnel working on short-term construction sites. Traditional solutions use passive protection, like setting up traffic cones, safety beacons, or even nothing. However, such methods cannot function as physical safety barriers to separate working areas from used lanes. In contrast, their system provides active protection, leveraging acoustic and visual warning signals to help road workers be cautious of approaching vehicles before they pass the working area. To decrease too many warnings to relieve a disturbance of road workers, they implemented their traffic flow check algorithm, by which about 80% of the useless notices can be filtered. They conduct the evaluations in laboratory conditions and the real world, proving their system’s applicability and reliability.