An Analysis Of Different Sensors For Turnout
Detection For Train-borne Localization Systems
Author(s)
D. Stein, M. Lauer & M. Spindler
Abstract
Safe railway operation requires a reliable localization of trains in the railway
network. Hence, this paper aims to improve the accuracy and reliability of
train-borne localization systems proposed recently. Most of these approaches are
based on a global navigation satellite system (GNSS) and odometers. However,
these systems turned out to have severe shortcomings concerning accuracy and
availability. We believe that the ability to detect turnouts and the branching
direction thereon is the most valuable clue for improvement. Knowing the
branching direction provides topological information about the train position.
Thus, it complements the geographical information of GNSS and the longitudinal
position information of odometers in an ideal way. With such a sensor setup
a track-selective localization would be possible even if GNSS is unavailable
or disturbed. Therefore, this paper compares the individual benefits of different
sensor principles for turnout detection such as inertial measurement units (IMUs),
cameras, and lidar (light detection and ranging) sensors. As a consequence, we
focus on lidar sensors. For those we define requirements, review the market, and
report the results of a case study in a tramway scenario. We proved that it is
possible to detect rails, turnouts, and platforms. Finally we discuss our findings
intensively and give an outlook on our further research.
Keywords: train-borne localization, turnout detection, sensor comparison, lidar
sensor, GNSS, IMU, camera, eddy current sensor, digital track map.
Keywords
train-borne localization, turnout detection, sensor comparison, lidar
sensor, GNSS, IMU, camera, eddy current sensor, digital track map.
Related Book
Other papers in this volume
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