This paper provides a review of the literature on vision-based on-board obstacle detection
and distance estimation in railways. Environment perception is crucial for autonomous …

Accurate identification of obstacles shows great significance to improve the safety of
automatic operation trains. The ME Mask R-CNN is proposed to improve the accuracy of …

Obstacle detection plays an important role in train automatic operation. To overcome the low
accuracy and poor real-time performance of traditional detection methods, and better detect …

Object detection on railway tracks, which is crucial for train operational safety, face
numerous challenges such as multiple types of objects and the complexity of train running …

With the continuous development of rail transit fully automatic operation, the urgent need to
improve train operation safety makes obstacle detection become the research focus. In this …

Excellent active obstacle detection capability is critical to operate fully automatic trains safely
and reliably. There are some problems exist in the traditional sensor-based obstacle …

In railway systems, station safety is a critical aspect of the overall structure, and yet,
accidents at stations still occur. It is time to learn from these errors and improve conventional …

The automated inspection and detection of foreign objects help prevent potential accidents
and train derailments. Most existing approaches focus on the detection with prior labels …

In core computer vision tasks, we have witnessed significant advances in object detection,
localisation and tracking. However, there are currently no methods to detect, localize and …

Railway intrusion detection plays an important role in the railway intelligent transportation
system, assisting the safe operation of trains. The existing deep-learning-based object …