Abstract:
A system comprises a first sensor on a first end of a vehicle and an on-board controller coupled to the first sensor. The first sensor is configured to detect a radio frequency (RF) signature of a marker along a guideway. The first sensor is a radar detection device. The on-board controller is configured to determine a first position of the vehicle on the guideway or a first distance from the position of the vehicle to a stopping location along the guideway based on at least the RF signature received from the first sensor. The marker is a metasurface plate comprising a first diffused element, a first retroreflector element, a first absorbing element and a second diffused element between the first retroreflector element and the first absorbing element.
Abstract:
There is provided a method and system for providing a recommendation for a given problem by using a set of supervised machine learning (ML) models online by performing dynamic model evaluation and selection. An optional knowledge capture phase may be used to train the set of ML models offline using passive and/or active learning. Upon detection of a suitable initialization condition, the set of ML models is provided for inference and a feature vector is obtained. A set of predictions associated with accuracy metrics is generated by the set of models based on the feature vector. The accuracy metric may be global or class-specific. A recommendation is provided based on at least one of the set of predictions. The recommendation may be provided by selecting a best model, or by performing a vote weighted by the accuracy metrics. The set of ML models is retrained after obtaining an actual prediction.
Abstract:
A method and system include receiving positioning and motion information from one or more positioning and motion devices on a vehicle on a guideway, based on the positioning and motion information, receiving information from a database on the vehicle, the information comprising track geometry information and infrastructure information corresponding to the guideway, using the track geometry information and positioning and motion information to determine a path of the guideway and a trajectory of the vehicle along the path, receiving data from one or more electromagnetic sensors on the vehicle, and detecting an object by using the trajectory, the infrastructure information, and the information from the one or more electromagnetic sensors.
Abstract:
An SIL 4 over-speed protection device for a rail vehicle includes a first logical unit configured to be connected to a first power source, a first speed sensor and a first vital supervision circuit and a second logical unit configured to be connected to a second power source, a second speed sensor and a second vital supervision circuit. The first logical unit is configured to determine if the second logical unit is functioning properly and the second logical unit is configured to determine if the first logical unit is functioning properly.
Abstract:
A method includes detecting an initialization position of a processing zone within a graphical user interface, the processing zone having boundaries and a predefined direction extending away from the initialization position, the graphical user interface comprising displayed point cloud data, the displayed point cloud data being based on a scanning of a three dimensional space. The method also includes applying a Kalman filter to the track points to identify a trajectory of a guideway and generating a model of the guideway based on the track points and the trajectory. The method further includes detecting one or more of a turnout region or an object associated with the guideway. The method additionally includes generating a map comprising the model of the guideway and one or more of the turnout region or the object, and at least one label identifying the turnout region or the object included in the map.
Abstract:
A system comprises a set of sensors on a first end of a vehicle having the first end and a second end, and a controller. The sensors are configured to generate corresponding sensor data based on a detected marker along a direction of movement of the vehicle. A first sensor has a first inclination angle with respect to the detected marker, and a second sensor has a second inclination angle with respect to the detected marker. The controller is configured to compare a time at which the first sensor detected the marker with a time at which the second sensor detected the marker to identify the first end or the second end as a leading end of the vehicle, and to calculate a position of the leading end of the vehicle based on the sensor data generated by one or more of the first sensor or the second sensor.
Abstract:
A communication system for a guideway mounted vehicle includes a control system communication system configured to exchange information between the guideway mounted vehicle and an external control system. The communication system further includes a vehicle-to-vehicle communication system configured to exchange information between the guideway mounted vehicle and another vehicle along the guideway, wherein the vehicle-to-vehicle communication system is separate from the control system communication system, and the vehicle-to-vehicle communication system is configured to exchange information directly between the guideway mounted vehicle and the other vehicle. The communication system further includes a vital on-board controller (VOBC) configured to generate instructions for controlling the exchange of information between the guideway mounted vehicle and the control system through the control system communication system, and to generate instructions for controlling the exchange information between the guideway mounted vehicle and the other vehicle.
Abstract:
A method and system are disclosed for providing team-level metrics data, the method comprising for each member of a team, collecting sensor data originating from a plurality of sensors, and locally processing the collected sensor data to provide data representative of an individual functional assessment; wirelessly obtaining each of the data representative of an individual functional assessment and processing each of the obtained data representative of an individual functional assessment to generate data representative of a functional state of the team.
Abstract:
A method for estimating a radio network topology at a given node of a plurality of nodes, defining a radio network, located in a deployment zone. The method includes obtaining a position of the given node and at least one other node from the plurality of nodes; obtaining elevation data in the deployment zone; for each two given nodes selected from the given node and the at least one node from the plurality of nodes, computing a total radio path loss estimate between the two given nodes using part of the elevation data; comparing the computed total radio path loss estimate and a corresponding maximum permissible path loss value between the two given nodes to determine if a given radio link between the two given nodes is possible; storing an indication of the radio link possibility; and generating the estimated radio network topology using the stored indications.
Abstract:
An apparatus that determines that a vehicle has moved comprises a shaft member, a pin configured to attach the shaft member to a backing plate via an opening in the shaft member that enables the shaft member to move in a direction along the length of the shaft member, to rotate about the pin, and to contact a surface external to the vehicle when the shaft member is in a first position. The apparatus also comprises a first alignment magnet that attracts the shaft member to the surface external to the vehicle and a first sensor that determines that the shaft member is in the first position. The apparatus further comprises a first holding magnet, a second holding magnet, and at least one sensor that indicates that the shaft member is in contact with the first holding magnet or the second holding magnet, each indicating a direction of movement.