Abstract: A method is provided for operating a railway network having a number of trains, the method comprises operating a scheduling machine that is in communication with the railway network over a data communication system, to receive time separated state data defining states of the railway network at respective times. The scheduling machine accesses a model of the railway network that is stored in an electronic data source. The model defines locations in the railway network that allows for passing of trains and paths for journeys of each of the trains. The method includes operating the scheduling machine to apply the state data to the model to determine, at each of the respective times, controls associated with each trains' path for each of the trains.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to, based on sensor data in a vehicle, determine a database that includes object data for a plurality of objects, including, for each object, an object identification, a measurement of one or more object attributes, and an uncertainty specifying a probability of correct object identification, for the object identification and the object attributes determined based on the sensor data, wherein the object attributes include an object size, an object shape and an object location. The instructions include further instructions to determine a map based on the database including the respective locations and corresponding uncertainties for the vehicle type and download the map to a vehicle based on the vehicle location and the vehicle type.

Abstract: A method of measuring a reduction in energy consumed by an electricity network supplying a fleet of transport vehicles, said method comprising the following steps: sending (S1), over a period of time P, at least one activation signal to at least one energy saving device of at least one item of equipment, said activation signal being configured to alternatingly activate and deactivate said energy saving device over the period of time P; obtaining (S2) a signal of electrical power consumed over the period of time P by said electricity network; and deducing (S3) a reduction in energy consumed by said electricity network in response to said activation signal.

Abstract: System, methods, and other embodiments described herein relate to emulating vehicle dynamics. In one embodiment, a method for emulating vehicle dynamics in a vehicle having a plurality of wheels and equipped with all-wheel steering, includes receiving emulation settings that indicate one or more environment parameters and/or vehicle parameters, detecting driver inputs including at least steering input and throttle input, executing a simulation model that receives the driver inputs and emulation settings, simulates the vehicle operating based on the driver inputs and the emulation settings, and outputs one or more simulated states of the vehicle based on the simulated operation of the vehicle, determining one or more actuation commands for each wheel of the vehicle to cause the vehicle to emulate the one or more simulated states, and executing the one or more actuation commands, wherein the actuation commands include at least wheel angle commands and torque commands.

Abstract: Systems and methods of the present disclosure are directed to a method. The method can include obtaining simplified scenario data associated with a simulated scenario. The method can include determining, using a machine-learned perception-prediction simulation model, a simulated perception-prediction output based at least in part on the simplified scenario data. The method can include evaluating a loss function comprising a perception loss term and a prediction loss term. The method can include adjusting one or more parameters of the machine-learned perception-prediction simulation model based at least in part on the loss function.

Abstract: A system and a method for adjusting a yielding space of a platoon are provided. The system can include camera modules, sensors, interface circuitry, processing circuitry, and memory. The sensors can detect one or more behaviors of one or more vehicles adjacent to the platoon. The processing circuitry can determine one or more triggering events between the one or more vehicles and the platoon based on the one or more behaviors. The processing circuitry can adjust the yielding space of the platoon.

Abstract: A vehicle remote control method controls a vehicle having an autonomous travel control function to execute autonomous travel control. The method includes detecting an input position at which a touch operation is performed by an operator on a touch panel of a remote operation device and making a gesture determination area variable in accordance with the input position. The gesture determination area is an area in which a gesture for remotely controlling the vehicle is received. The method further includes detecting the gesture from the gesture determination area and determining whether or not the detected gesture is a command gesture that is preliminarily set. When the gesture is the command gesture, the vehicle is controlled to execute the autonomous travel control.

Abstract: A moving target following method, which is executed by one or more processors of a robot that includes a camera and a sensor electrically coupled to the one or more processors, includes: performing a body detection to a body of a target based on images acquired by the camera to obtain a body detection result; performing a leg detection to legs of the target based on data acquired by die sensor to obtain a leg detection result; and fusing the body detection result and the leg detection result to obtain a fusion result, and controlling the robot to follow the target based on the fusion result.

Abstract: Methods and systems are provided for adjusting a power output strategy at a track. In one example, a method may include customizing the power output strategy in response to user inputs. The power output strategy may be associated with a user profile stored in an application, the user profile further comprising items desired by the user for a track day along with post-track day debriefs including data with regard to previous track days.

Abstract: Techniques relating to training a model for detecting that a vehicle is likely to perform a cut-in maneuver are described. Computing device(s) can receive log data associated with vehicles in an environment and can detect an event in the log data, wherein an event corresponds to a cut-in maneuver performed by a vehicle. In an example, the computing device(s) can generate training data based at least in part on converting a portion of the log data that corresponds to the event into a top-down representation of the environment and inputting the training data into a model, wherein the model is trained to output an indication of whether another vehicle is likely to perform another cut-in maneuver.

Abstract: Systems and methods described in this disclosure provide methods and systems for automatic deployment of a vehicle covering apparatus to protect the vehicle from environmental conditions such as severe weather.

Abstract: A robot including an input interface configured to receive a service identifier in response to a service request; a camera configured to capture a video of a user who has presented the service identifier; a transceiver configured to receive service information associated with the service identifier; and a processor configured to identify the user who has presented the service identifier from the video using an artificial neural network based learning model; and in response to successfully identifying the user, perform a task corresponding to the service request for the user based on the service information.

Abstract: A processor is operably coupled to a time of flight (TOF) camera, a light detection and ranging (LIDAR) sensor, and an optical camera. The processor can receive a TOF signal representative of a first coordinate associated with a stick-up height of a tool joint of a pipe of a drill string during a tripping operation on a rig drill floor, and a pitch and a roll of the tool joint. The processor can receive a LIDAR signal representative of a second coordinate associated with the stick-up height, and the pitch of the tool joint. The processor can receive an optical camera signal representative of a third coordinate associated with the stick-up height of the tool joint and the roll of the tool joint. The processor can generate a pose estimate and an orientation estimate based on the signals.

Abstract: Systems, methods, and other embodiments described herein relate to improving trajectory forecasting in a device. In one embodiment, a method includes, in response to receiving sensor data about a surrounding environment of the device, identifying an object from the sensor data that is present in the surrounding environment. The method includes determining category probabilities for the object, the category probabilities indicating semantic classes for classifying the object and probabilities that the object belongs to the semantic classes. The method includes forecasting trajectories for the object based, at least in part, on the category probabilities and the sensor data. The method includes controlling the device according to the trajectories.

Abstract: A method of operating a vehicle may include determining if a vehicle speed is controlled by a driver, and if the vehicle speed is controlled by the driver, determining if the vehicle is operating during night conditions. If the vehicle is operating during night conditions, activating a night drive mode that limits a maximum speed of the vehicle without regard to road speed limits.

Abstract: A motion control system that can detect a change in a an operating characteristic and send a stabilizing command to an actuator system based on the change is described. A motion control component in the system includes a first component with an electropermanent magnet having a coil, differing first and second permanent magnet materials, and differing first and second states. The motion control component includes a second component configured to magnetically interact with the first component to define a damping characteristic that affects motion between the first component and the second component and a controller configured to supply a current pulse to the electropermanent magnet to switch the electropermanent magnet between the first and second states. The electropermanent magnet retains the respective first or second state after cessation of the current pulse.

Abstract: Disclosed are a vehicle including an electric motor and a method of controlling the same for providing a notification function to an occupant of the vehicle by controlling a pitching motion of a vehicle body. The method includes calculating a first torque value for providing the pitching motion based on driving state information including a vehicle speed, a driving mode, and an environment of a driving road; calculating a second torque value based on a request of a driver; and calculating a final torque value for controlling the electric motor based on the first torque value and the second torque value.

Abstract: A plurality of thermal images forward of a vehicle are collected. Thermal data in the plurality of thermal images is normalized based on an ambient air temperature to generate a plurality of normalized thermal images. The plurality of normalized thermal images are input to a machine learning program trained to output an identification of an object based on the ambient air temperature and a risk of collision between the vehicle and the object. A vehicle component is actuated based on the identification of the object and the risk of collision with the object.

Abstract: A device for setting a target vehicle that sets a target vehicle to be subjected to driving assistance control of a host vehicle includes: a detection signal acquisition device capable of acquiring a first detection signal representing an object by an image, and a second detection signal representing the object by a reflection point; and setting control unit, which determines whether to set a forward object as a target vehicle, wherein if a movement history is not associated with the forward object, and a combination history is associated with the forward object, then as a selection threshold of a first determination parameter for determining whether to set the forward object as the target vehicle, a selection threshold is used such that the forward object is less likely to be selected as the target vehicle than with the selection threshold which would be used if a movement history is associated with the forward object.

Abstract: Systems, methods, devices and computer-readable storage mediums are disclosed for correcting a compass view using map data. In an implementation, a method comprises: receiving, by one or more sensors of a mobile device, sensor data; determining, by a processor of the mobile device, compass offset data for a compass view based on the sensor data and map data; determining, by the processor, a corrected compass view based on the compass offset data; and presenting, by the processor, the corrected compass view.