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 object along a direction of movement of the vehicle. The controller is configured to compare a time at which the first sensor detected the object with a time at which the second sensor detected the object 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. The controller is also configured to generate a map of the plurality of objects based on the sensor data.

Abstract: A metasurface includes a dielectric material, a ground plane on a back side of the dielectric material; and at least one conductive element on a top surface of the dielectric material, wherein the at least one conductive element includes at least one of a ground-backed dipole or a slot array.

Abstract: A controller for a vehicle includes a processor configured to repeatedly perform operations, at each control iteration among a plurality of control iterations along a path of the vehicle from a start location to a target location. The operations include, based on a current state of the vehicle, generating a travel plan for a remainder of the path from a current position of the vehicle to the target location, by solving an optimization problem. The operations further include controlling a motoring and braking system of the vehicle to execute the generated travel plan until a next control iteration among the plurality of control iterations.

Abstract: A self-learning vehicle control system, the control system including: a controller configured to receive one or more of the following inputs: actual propulsion effort command; actual braking effort command; requested speed command; change in the requested speed command; change in the requested acceleration command; measured vehicle location; measured vehicle 3-D speed; measured vehicle 3-D acceleration; and measured vehicle 3-D angular speed; and one or more position determination sensors communicably connected with the controller; one or more 3-D speed determination sensors communicably connected with the controller; one or more 3-D acceleration determination sensors communicably connected with the controller; one or more 3-D angular speed determination sensors communicably connected with the controller; and an output device communicably connected with the controller and for providing requested speed and acceleration commands.

Abstract: A system includes a neural network encoder, an environmental filter and a neural network decoder. The neural network encoder is configured to generate encoded data from input data. The environmental filter is communicably connected with the encoder and configured to combine the encoded data with at least one randomized image to generate signature data corresponding to the input data. The neural network decoder is configured to be trained together with the encoder and the environmental filter to decode the signature data to generate decoded data corresponding to the input data.

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 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: 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 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 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: An infant chair having a seat portion carried by a support portion is provided. The seat portion includes two support pins at a proximal end thereof received within the support portion for connecting the seat portion thereto. The support pins are disposed above a center of gravity of the seat portion and define a substantially vertical swing axis therebetween. The seat portion is configured to oscillate about the swing axis.

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 multimodal guideway vehicle sensor includes a passive sensor, an active sensor and an unique identification (ID) sensor. The passive sensor is configured to receive and detect a first electromagnetic radiation from a guideway vehicle. The active sensor configured to transmit a second electromagnetic radiation and receive and detect the second electromagnetic radiation reflected from the guideway vehicle. The ID sensor that detects an ID associated with the guideway vehicle. The multimodal guideway vehicle sensor also includes a data fusion center that combines signals from the passive sensor, the active sensor and the ID sensor to produce guideway vehicle information about the guideway vehicle.

Abstract: A fusion sensor arrangement includes a first sensor configured to detect the presence of an object along a wayside of a guideway, wherein the first sensor is sensitive to a first electromagnetic spectrum. The fusion sensor arrangement further includes a second sensor configured to detect the presence of the object along the wayside of the guideway, wherein the second sensor is sensitive to a second electromagnetic spectrum different from the first electromagnetic spectrum. The fusion sensor arrangement further includes a data fusion center connected to the first sensor and to the second sensor, wherein the data fusion center is configured to receive first sensor information from the first sensor and second sensor information from the second sensor, and to resolve a conflict between the first sensor information and the second sensor information.

Abstract: A system comprises a speed detector, a marker sensor, a controller, a sensor unit, and a processor. The speed detector is configured to generate speed data associated with a movement of a vehicle. The marker sensor is configured to generate marker data based on a detection of an object along a wayside of a guideway. The controller is configured to calculate a distance the vehicle moved, generate location information, and generate an indication the vehicle is stationary. The sensor unit comprises an accelerometer, a gyroscope, and a magnetometer. The sensor unit is configured to generate sensor data based on information gathered by one or more of the accelerometer, the gyroscope, or the magnetometer. The processor is configured to process the sensor data to determine a vehicle position based on the sensor data and the location information. The controller is further configured to compare the location information with the vehicle position.

Abstract: A system comprises a speed detector, a marker sensor, a controller, a sensor unit, and a processor. The speed detector is configured to generate speed data associated with a movement of a vehicle. The marker sensor is configured to generate marker data based on a detection of an object along a wayside of a guideway. The controller is configured to calculate a distance the vehicle moved, generate location information, and generate an indication the vehicle is stationary. The sensor unit comprises an accelerometer, a gyroscope, and a magnetometer. The sensor unit is configured to generate sensor data based on information gathered by one or more of the accelerometer, the gyroscope, or the magnetometer. The processor is configured to process the sensor data to determine a vehicle position based on the sensor data and the location information. The controller is further configured to compare the location information with the vehicle position.

Abstract: A fusion sensor arrangement includes a first sensor configured to detect the presence of an object along a wayside of a guideway, wherein the first sensor is sensitive to a first electromagnetic spectrum. The fusion sensor arrangement further includes a second sensor configured to detect the presence of the object along the wayside of the guideway, wherein the second sensor is sensitive to a second electromagnetic spectrum different from the first electromagnetic spectrum. The fusion sensor arrangement further includes a data fusion center connected to the first sensor and to the second sensor, wherein the data fusion center is configured to receive first sensor information from the first sensor and second sensor information from the second sensor, and to resolve a conflict between the first sensor information and the second sensor information.

Abstract: A multimodal guideway vehicle sensor includes a passive sensor, an active sensor and an unique identification (ID) sensor. The passive sensor is configured to receive and detect a first electromagnetic radiation from a guideway vehicle. The active sensor configured to transmit a second electromagnetic radiation and receive and detect the second electromagnetic radiation reflected from the guideway vehicle. The ID sensor that detects an ID associated with the guideway vehicle. The multimodal guideway vehicle sensor also includes a data fusion center that combines signals from the passive sensor, the active sensor and the ID sensor to produce guideway vehicle information about the guideway vehicle.

Abstract: A method of treating unwanted hair is disclosed. The method comprises: transmitting acoustic waves through the hair so as to generate heat at a follicle, a dermal papilla, a hair bulge and/or a germinal matrix of the hair. The heat itself is sufficient to damage or destroy the follicle, the dermal papilla, the hair bulge and/or the germinal matrix.