A switch gap detection system is disclosed herein that is configured to monitor a switch installed on a railway, detect a switch gap, and notify a train operator or otherwise take action to prevent a derailment, accident, or other dangerous situation. The switch gap detection system may include one or more switch gap sensors installed on or adjacent to a rail at a location proximate to a switch. The one or more switch gap sensors may be configured to determine a status of the switching points on the switch (e.g., open, closed, or switch gap detected). If the one or more switch gap sensors detect a switch gap, a notification may be provided to a train operator, for example, in the form of an audible and/or visual alert. In some embodiments, a signal may also be sent to automatically stop the train to prevent a derailment.

A switch gap detection system is disclosed herein that is configured to monitor a switch installed on a railway, detect a switch gap, and notify a train operator or otherwise take action to prevent a derailment, accident, or other dangerous situation. The switch gap detection system may include one or more switch gap sensors installed on or adjacent to a rail at a location proximate to a switch. The one or more switch gap sensors may be configured to determine a status of the switching points on the switch (e.g., open, closed, or switch gap detected). If the one or more switch gap sensors detect a switch gap, a notification may be provided to a train operator, for example, in the form of an audible and/or visual alert. In some embodiments, a signal may also be sent to automatically stop the train to prevent a derailment.

A rail-guided vehicle is capable of accurately determining an abnormality of a position of rail peripheral equipment. The rail-guided vehicle travels along a rail. The rail-guided vehicle is provided with: a vehicle body including a body part and a traveling part; a light projecting/receiving sensor and contact type sensors provided in the vehicle body that each detect a position of rail peripheral equipment; and a length measuring sensor that measures behavior of the vehicle body at the time of detection of the rail peripheral equipment by the light projecting/receiving sensor and the contact type sensors.

Disclosed is a technique for a railway disaster monitoring system for monitoring a foreign matter on a railway, which includes a camera and an image processing unit that receives a railway image captured by the camera. The image processing unit includes a segmented image acquisition unit that obtains a plurality of segmented images including a rail from the railway image received from the camera and scales the segmented images to obtain segmented image blocks of a predetermined size, and a segmented image determination unit which includes deep neural network (DNN) discriminators trained with deep learning neural networks and inputs the segmented image blocks to the DNN discriminators to determine whether the railway is in a normal state in which there is no foreign matter on the railway except a train passing by. Using the segmented images, a foreign matter on a railway can be rapidly and easily determined using a deep learning neural network even with a small number of resources.

A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.

The Automated Wayside Asset Monitoring system utilizes a camera-based optical imaging device and an image database to provide intelligence, surveillance and reconnaissance of environmental geographical information pertaining to railway transportation. Various components of the Automated Wayside Asset Monitoring system can provide features and functions that can facilitate the operation and improve the safety of transportation via a railway vehicle.

The Automated Wayside Asset Monitoring system utilizes a camera-based optical imaging device and an image database to provide intelligence, surveillance and reconnaissance of environmental geographical information pertaining to railway transportation. Various components of the Automated Wayside Asset Monitoring system can provide features and functions that can facilitate the operation and improve the safety of transportation via a railway vehicle.

A farming system (1) for row crop installations (10) comprises: a first plurality of plants (10A) and a second plurality of fruit or vegetable plants (10B), disposed along a first longitudinal axis (L1) and a second longitudinal axis (L2), respectively, and mutually spaced along a transverse direction (T) to form a first row (F1) and a second row (F2); a supporting structure (11), configured to support the plants and including, for the first row (F1) and the second row (F2), a first plurality of posts (11A) and a second plurality of posts (11B); a first rail (12A), connected to the first plurality of posts (11A); a second rail (12B), connected to the second plurality of posts (11B). The first rail (12A) and the second rail (12B) are oriented longitudinally and spaced transversely from each other to define a track (12). The system comprises a trolley (13), movable along the track (12) and including a movement actuator (131), configured to move the trolley (13) on the track (12).

An imaging apparatus is mounted on a moving object and configured to capture an image while moving along a moving direction of the moving object. The imaging apparatus includes a sensor unit including a sensor substrate on which an image sensor is mounted, and a main unit including a main substrate on which an electronic component configured to process an output signal from the sensor substrate is mounted. The imaging apparatus further includes a heat dissipation fin configured to dissipate heat generated in at least one of the sensor unit and the main unit. The heat dissipation fin is provided in a direction substantially parallel to the moving direction.

A method uses a track-side obstacle identification arrangement and a vehicle-side obstacle identification arrangement in order to identify obstacles in a danger zone in front of a rail vehicle. In order to allow improved autonomous driving of the rail vehicle, it is provided that, as it approaches a relevant one of the obstacles, at least one reaction or response of the rail vehicle is derived depending on an evaluation signal of the track-side obstacle identification arrangement and an actual value of at least one variable which characterizes the effectiveness or performance of the vehicle-side obstacle identification arrangement. A system for identifying obstacles is also provided.