Vision-based Warning System for Maintenance Personnel on Short-Term Roadwork Site
This addresses safety for road maintenance workers, but it is incremental as it builds on existing vision-based methods with a specific filtering improvement.
The paper tackles the problem of protecting maintenance personnel on short-term roadwork sites by proposing a vision-based warning system that uses acoustic and visual signals to alert workers of approaching vehicles, with a traffic flow check algorithm reducing useless notices by about 80%.
We 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, our 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, we implemented our traffic flow check algorithm, by which about 80% of the useless notices can be filtered. We conduct the evaluations in laboratory conditions and the real world, proving our system's applicability and reliability.