A Video-Based Object Detection System for Improving Safety at Level Crossings

Abstract

Improving transport users' safety is a priority of research into transport system attractiveness. Level crossings are one of the most critical weak point involving road and rail users' infrastructure. They have become increasingly dangerous and unsafe due to road and railway users' behavior. Furthermore, rail and highway safety professionals from several countries must deal with the same subject: providing safer level crossing. Actions are planned in order to exchange information and provide experiences for improving the management of level crossing safety and performance. This has enabled us to discuss sharing knowledge gained from research into improving safety at level crossings. This article provides results of research done on possible technological solution to reduce the number of accidents at level crossings. The main contribution is that we discuss and prove the effectiveness of the use of video sensing for object detection. Furthermore, we have tested and adapted a robust technique for moving object detection, which is followed by a new approach for 3D object localization