Abstract
This paper presents a vision-based people detection system for improving safety in heavy machines. We propose a perception system composed of a monocular fisheye camera and a LiDAR. Fisheye cameras have the advantage of a wide field-of-view, but the strong distortions that they create must be handled at the detection stage. Since people detection in fisheye images has not been well studied, we focus on investigating and quantifying the impact that strong radial distortions have on the appearance of people, and we propose approaches for handling this specificity, adapted from state-of-the-art people detection approaches. These adaptive approaches nevertheless have the drawback of high computational cost and complexity. Consequently, we also present a framework for harnessing the LiDAR modality in order to enhance the detection algorithm for different camera positions. A sequential LiDAR-based fusion architecture is used, which addresses directly the problem of reducing false detections and computational cost in an exclusively vision-based system. A heavy machine dataset was built, and different experiments were carried out to evaluate the performance of the system. The results are promising, in terms of both processing speed and performance.
Highlights
Construction sites are always considered a high-risk working environment
The individual contributions have never been published together, and the aim of this paper is to show the global scope of vision-based perception systems that have been proposed for detecting people in heavy machine applications
Lower curves indicate better performances of the detector. We use this curve throughout the paper, and we focus on the MR value when the FPR is in the range 10−2 –100 false positives per image (FPPI)
Summary
Construction sites are always considered a high-risk working environment. People who work near heavy machines are constantly at risk of being struck by machines or their components. Accidents between machines and people represent a significant proportion of health and safety hazards in construction. Well-trained operators and protective equipment can reduce injuries and deaths, but it is difficult to eliminate these hazards completely. Accidents are caused by operators who are experienced, but who encounter problems of visibility, especially when using large vehicles. Drivers must keep watching all around their vehicles while performing a productive task. The most experienced and watchful driver may not notice people working in the vicinity of a machine, especially in blind angles. Without the help of effective detection devices, safety is very difficult to maintain
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
