Abstract: A nearshore real-time positioning and mapping method for an unmanned surface vehicle with multiple distance measuring sensors comprises: acquiring predicted gesture data of the unmanned surface vehicle by an inertia measurement unit; acquiring radar point cloud data by a laser radar, projecting the radar point cloud data to a depth map, and reserving ground points and break points on the depth map; dividing the depth map into six sub depth maps, obtaining a feature point set via a curvature of each laser point, and converting all the feature point sets of the laser radar into coordinates of the unmanned surface vehicle; obtaining a relative gesture transformation matrix of the current unmanned surface vehicle via the radar cloud point data of two adjacent frames; accruing multiple factors, and optimizing a gesture of the unmanned surface vehicle in form of a factor pattern; and constructing a three-dimensional cloud point pattern.

Abstract: Methods and systems are provided including a flight guidance controller interface. The flight guidance controller interface includes a rotatable knob including a rotatable element disposed around a periphery of a touch control display. A graphical presentation is output on the touch control display including a plurality of sections. The plurality of sections includes an indication of respective functions of an automatic flight control system. A touch input is received to one of the plurality of sections, thereby activating control of a corresponding one of the respective functions of the automatic flight control system. A rotation input to the rotatable element is received, thereby providing information about a value for the corresponding one of the respective functions of the automatic flight control system.

Abstract: Remote controlling of a vehicle, such as an autonomous vehicle, may sometimes be more efficient and/or reliable. Such control, however, may require processes for ensuring safety of surrounding persons and objects. Aspects of this disclosure include using onboard sensors to detect objects in an environment and alter remote commands according to such objects, e.g. by reducing a maximum permitted velocity of the vehicle as a function of distance to detected objects. In some examples described herein, such remote controlling may be performed by using objects in the environment as control objects, with movements of the control objects resulting in movement of the vehicle.

Abstract: A vehicle control apparatus includes: a VSA-ECU and an ESB-ECU that perform braking control to apply a braking torque in response to a brake operation by a driver of a host vehicle, and also perform brake holding control to hold the braking torque even when the brake operation is cancelled; and an engine control unit that performs idling stop control to stop driving of an engine that is a drive source of the host vehicle when a stop condition is satisfied, including that a vehicle speed of the host vehicle enters a predetermined low vehicle speed region, and also performs restart control to restart the engine when a predetermined restart condition is satisfied. The engine control unit prohibits execution of the idling stop control during execution of the brake holding control.

Abstract: When a diagnostic period of a specific failure arrives, a management center transmits, to a vehicle, an instruction to order execution of a failure diagnosis of the specific failure. When an ECU of the vehicle receives the instruction to order execution of the failure diagnosis from the management center, the ECU of the vehicle determines whether or not the failure diagnosis can be executed. When the failure diagnosis cannot be executed, the ECU causes the vehicle to continue traveling without executing the failure diagnosis, and ends a process. In this case, the ECU postpones the failure diagnosis in the current diagnostic period, and executes the failure diagnosis when a next diagnostic period arrives. When the ECU determines that the failure diagnosis can be executed, the ECU executes the failure diagnosis.

Abstract: A system for flight control for managing actuators for an electric aircraft is provided. The system includes a controller, wherein the controller is designed and configured to receive a sensor datum from at least a sensor, generate an actuator performance model as a function of the sensor datum, identify a defunct actuator of the electric aircraft as a function of the sensor datum and the actuator performance model, generate an actuator allocation command datum as a function of at least the actuator performance model and at least the identification of the defunct actuator, and perform a torque allocation as a function of the actuator allocation command datum.

Abstract: Systems, methods, devices, and techniques for planning travel of an autonomous robot. A system identifies one or more obstacles that are located in proximity of at least a portion of a planned route for the autonomous robot. For each obstacle, the system: (i) determines a semantic class of the obstacle, including selecting the semantic class from a library that defines a set of multiple possible semantic classes for obstacles, and (ii) selects a planning policy for the obstacle that corresponds to the semantic class of the obstacle. The system can generate a trajectory along the at least the portion of the planned route using the selected planning policies. The robot can then initiate travel according to the trajectory.

Abstract: Systems and methods for formatting aviation data for improved aircraft fault detection, diagnosis, and maintenance are provided. One example method includes determining a plurality of available parameters associated with an aircraft. The method includes matching the plurality of available parameters against a plurality of desired parameters to identify a plurality of matched parameters that are both desired and available. The plurality of matched parameters are useful to perform fault diagnosis and prognosis for the aircraft. The method includes determining a priority level for each of the plurality of matched parameters. The method includes creating a standardized maintenance-optimized data frame configuration based at least in part on the plurality of matched parameters and the priority level for each of the plurality of matched parameters.

Abstract: Data elements are identified, from a diagnostic request received from a remote server, to collect from controllers of the vehicle. The data elements are captured for inclusion in a diagnostic data message, responsive to receipt of the diagnostic request to allow the data elements to be collected without approval of the diagnostic request. The data elements are stored to the data storage. The remote server is queried for an approval status of the diagnostic request. Responsive to the approval status specifying that the diagnostic request is approved, the diagnostic data message is sent to the server. Responsive to the approval status failing to specify within a predefined time period that the diagnostic request is approved, the data elements are discarded from the data storage to maintain data privacy for the diagnostic request upon condition that the diagnostic request is not approved.

Abstract: The invention relates to an inertial/video hybridisation device (2) intended to be mounted on a carrier (2), the device comprising: a camera (6) configured to acquire a first image showing a predetermined landmark (12) attached to the carrier (2), a processing unit (8) configured to estimate a velocity of the carrier (2) from the acquired first image, with a view to hybridising the estimated velocity with inertial data relating to the carrier (2) produced by an inertial unit (4), locating a position of the landmark (12) in the first acquired image, calculating a deviation between the located position and a reference position of the landmark (12), comparing the calculated deviation with a predetermined threshold, and signalling an alert when the calculated deviation is greater than the predetermined threshold.

Abstract: A calibration and repair system for advanced driver assistance systems (“ADAS”) and features is configured to provide secure, automated workflow management related to the calibration of User Remote ADAS. Automated workflows include steps and interfaces to aid in preparation of a vehicle for calibration, local-remote collaboration during calibration, customer interactions, workflow and event notification, user authentication, remote system management, and other tasks. The system is also capable of automatically and dynamically adding new and updated calibration specifications that are usable during local-remote collaboration.

Abstract: Provided are embodiments for a method for monitoring a wiper system, the method includes reading a radio frequency identification (RFID) tag embedded in a wiper blade using a reader, comparing the read RFID tag to stored wiper blade information, determining a blade usage ratio for the wiper blade based on determining whether the wiper blade has been replaced, and providing an indication of a status of the wiper blade based at least in part on the blade usage ratio. Also provided are embodiments for a system for monitoring the health of the wiper system.

Abstract: Methods, systems and a kit for indicating brake air pressure status in brake pipes of multiple interconnected train cars are provided. The methods include operating at least one end-hose adapter per train car. Each end-hose adapter is mounted between a train car end hose and a brake pipe to be in fluid communication therewith and are configured to sense the brake air pressure in the brake pipe. Each end-hose adapter kit includes connections adapters for connecting either end to different parts of the train car system. The end-hose adapter provides a first visual indication when the brake air pressure is within an operable range and/or a second visual indication when the brake air pressure is below an operable value and is experiencing leakage.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle with a controller to control one or more light emitters to produce a light pattern that uniquely identify the vehicle. It may also be directed to a system to receive image data from one or more video cameras located in a location vicinity of the CA/AD vehicle emitting a pattern of light, and to analyze the received image data to determine a physical location of the vehicle.

Abstract: An electronic logging and track detection system for mobile telematics devices and method are provided. In particular, an electronic logging and track detection system and system for mobile telematics devices, as smart phones and/or mobile cellular phones is proposed, which tend to change their sensing and measuring orientation and direction in respect to the main direction of movement/motion or moving sense, as for example given by a person with proper motion holding a mobile phone within a moving vehicle. Instantaneous movement telematics data are measured by and logged from sensors of the mobile telematics devices and trips and/or trip-segments based on the instantaneous movement sensory telematics data are automatically identified and detected at least by the telematics sensors comprising an accelerometer sensor and a gyroscope sensor and a Global Positioning System sensor.

Abstract: A method for determining the heading of an unmanned aerial vehicle and an unmanned aerial vehicle are provided. The method includes: acquiring a first heading angle of an unmanned aerial vehicle by means of a first sensing system, and acquiring a second heading angle of the unmanned aerial vehicle by means of a second sensing system (S102); judging whether the second heading angle is valid according to a comparing result (S104); and if the second heading angle is invalid, determining the first heading angle as a current heading angle of the unmanned aerial vehicle (S106).

Abstract: A motor vehicle includes at least one camera capturing images of an environment outside of the motor vehicle. A proximity sensor detects an object disposed adjacent to the motor vehicle. An electronic processor receives the images captured by the at least one camera, and receives a proximity signal from the proximity sensor. The proximity signal is indicative of whether an object is disposed adjacent to the motor vehicle. The electronic processor determines, based upon the images captured by the at least one camera and the proximity signal, whether the motor vehicle is disposed within an enclosure. The electronic processor receives an engine start request signal that has been wirelessly transmitted by a user. In response to receiving the engine start request signal, the electronic processor causes the engine start system to start an engine of the motor vehicle when the motor vehicle is not disposed within an enclosure.

Abstract: Provided is a method for an autonomous vehicle to handle goods in collaboration with an unmanned aerial vehicle. The method comprises recognizing an unmanned aerial vehicle loading goods by the autonomous vehicle, capturing an image of the recognized unmanned aerial vehicle by the autonomous vehicle, analyzing the captured image to recognize a marker by the autonomous vehicle, adjusting a relative position of the autonomous vehicle and the unmanned aerial vehicle by moving the autonomous vehicle based on a recognition result of the marker, and taking over the goods from the unmanned aerial vehicle by the autonomous vehicle after position adjustment is completed.

Abstract: Aspects of the present disclosure relate to automated vehicle condition grading. In examples, a set of images for a vehicle are processed using a machine learning engine to generate an optical vehicle condition grade for each image of the set. The resulting set of optical vehicle condition grades may be aggregated to generate an aggregate optical vehicle condition grade for the vehicle. In some examples, additional information associated with the vehicle is processed, which may be used to generate an adjustment grade. Accordingly, the adjustment grade and the aggregate optical vehicle condition grade are used to generate a final vehicle condition grade for the vehicle. The final vehicle condition grade is associated with the vehicle in a vehicle condition grade data store for subsequent use by the vehicle grading service and/or by an associated client device, among other examples.

Abstract: A system for digital twinning a refuse vehicle includes a refuse vehicle and a controller. The refuse vehicle includes a sensor, a device, and an electronic control system. The controller is configured to receive multiple datasets from at least one of the sensor, the device, and the electronic control system. The controller is also configured to generate a virtual refuse vehicle based on the plurality of datasets. The virtual refuse vehicle includes a visual representation of the refuse vehicle and the multiple datasets. Each of the multiple datasets are mapped to a corresponding one of the sensors or one of the electronic control systems. The controller is configured to operate a display of a user device to provide the visual representation of the refuse vehicle and one or more of the multiple datasets to a user.