Alongside the development of high-speed rail, rail flaw detection is of great importance to
ensure railway safety, especially for improving the speed and load of the train. Several …

We present a robust multi-robot convoying approach that relies on visual detection of the
leading agent, thus enabling target following in unstructured 3-D environments. Our method …

A collision avoidance system for railroad vehicles needs to determine their location in the
railroad network precisely and reliably. For a vehicle-based system, that is independent from …

Railway tracks detection and turnouts recognition are the basic tasks in driver assistance
systems, which can determine the interesting regions for detecting obstacles and signals. In …

The vehicle-to-vehicle (V2V) distance ranging system is a critical component of
transportation automation, including the railroad industry. Although the mainline rail traffic is …

The ability to detect, localize and classify objects that are anomalies is a challenging task in
the computer vision community. In this paper, we tackle these tasks developing a framework …

Maintenance trains travel in convoy. In Australia, only the first train of the convoy pays
attention to the track signalization (the other convoy vehicles simply follow the preceding …

Pedestrian Detection (PD) is one of the most studied issues of driver assistance systems.
Although a tremendous effort is already given to create datasets and to develop classifiers …

Determining the position and the alignment of the rails ahead of a train is an essential
element of camera based driver support systems, which aim to detect the obstacles around …

The automatic inspection of railways for the detection of obstacles is a fundamental activity
in order to guarantee the safety of the train transport. Therefore, in this paper, we propose a …