Abstract: A flight control system for an aircraft is disclosed. The flight control system includes one or more processors and a memory coupled to the processors. The memory stores data comprising a database and program code that, when executed by the one or more processors, causes the flight control system to receive as input a plurality of first operating parameters that each represent an operating condition of the aircraft. The flight control system is further caused to determine a drag coefficient and a lift coefficient based on the plurality of first operating parameters. The flight control system is also caused to determine an estimated dynamic pressure based on both the drag coefficient and the lift coefficient.

Abstract: A computer-implemented method includes generating, by a computer device, a plurality of clusters of unmanned aerial vehicles (UAVs) from a plurality of UAVs having different UAV characteristics, the clusters being generated based on the UAV characteristics of each of the UAVs; determining, by the computer device, task characteristics for a first task; selecting, by the computer device, one of the clusters based on the task characteristics of the first task; assigning to the first task, by the computer device, a first UAV of the plurality of UAVs from the selected cluster; receiving, by the computer device, task feedback regarding an attempt by the first UAV to complete the first task; and reassigning, by the computer device, and based on the task feedback, the first UAV to a determined one of the plurality of clusters.

Abstract: Technologies for directional wayfinding include a mobile computing device having one or more local location sensors to generate data indicative of movement of the mobile computing device. The mobile computing device captures first sensor data indicative of movement of the mobile computing device along a path and determines a series of waypoints based on the first sensor data. The waypoints may describe movement data of the mobile computing device, including length and direction of movement. The mobile computing device determines a series of directional instructions to guide a user of the mobile computing device back along the path in the reverse order and presents the directional instructions to the user. The mobile computing device may monitor the sensor data to determine whether the user has arrived at each waypoint while reversing the path. The sensors may include an accelerometer, gyroscope, magnetometer, or altimeter. Other embodiments are described and claimed.

Abstract: A regenerative braking control system includes at least one sensor adapted to sense a front tire impact event and transmit a sensor signal responsive to the front tire impact event during vehicle braking and a regenerative powertrain interfacing with the at least one sensor and adapted to reduce regenerative braking torque responsive to receiving the sensor signal from the at least one sensor. A regenerative braking control method is also disclosed.

Abstract: An outboard motor includes an engine, a fuel tank, a fuel pathway, a fuel pump, and a controller. The engine includes a fuel injector. The fuel tank includes an internal space in which fuel is stored. The fuel pathway is connected to the fuel injector and the fuel tank. The fuel pump is disposed in the fuel pathway, and supplies the fuel from the fuel tank to the fuel injector. The controller controls the fuel pump. The controller determines whether or not a start condition, indicating that air has entered the fuel pathway, is satisfied. The controller is configured or programmed to execute an air releasing control to open the fuel injector and drive the fuel pump when the start condition is satisfied.

Abstract: Systems, methods, and computer program products for adaptive, imitation learning and applications to navigational assistance are disclosed. The inventive concepts include receiving a plurality of trajectories, each trajectory describing a path through a dynamic, complex physical environment; receiving a request for navigational assistance through the dynamic, complex physical environment; and in response to receiving the request for navigational assistance: generating a navigational assistance trajectory through the dynamic, complex physical environment, the navigational assistance trajectory being based at least in part on at least one of the plurality of trajectories; generating auditory instructions in accordance with the navigational assistance trajectory; and transmitting the navigational assistance trajectory and the auditory instructions to a mobile device from which the request for navigational assistance was received.

Abstract: A route guidance method includes: if, on a set route from a departure point to a destination of a vehicle, a travelling road at a present position of the vehicle has a first plurality of lanes, and a next road following a nearest branch point from the present position has a second plurality of lanes, finding a branch-merge point up to which lanes other than a lane for reaching the destination out of the second plurality of lanes have gone away; and if a start point of traffic congestion is downstream of the branch-merge point, and an end point of the traffic congestion is upstream of the nearest branch point, guiding the vehicle to the lane for reaching the destination as a target before reaching the end point.

Abstract: A system for moving material from a first work area to a second work includes a material moving machine, a machine position sensor and a controller system. The controller system performs first material moving operations including determining a transition location from an inclined material stack operation to a flat material stack operation. The controller system performs second material moving operations including controlling the material moving machine.

Abstract: In one embodiment, a system receives a number of times from a number of time sources including sensors and real-time clocks (RTCs), wherein the sensors are in communication with an autonomous driving vehicle (ADV) and the sensors include at least a GPS sensor. The system generates a difference histogram based on a time for each of the time sources for a difference between a time of the GPS sensor and a time for each of the other sensors and RTCs. The system ranks the sensors and RTCs based on the difference histogram. The system selects a time source from one of the sensors or RTCs with a least difference in time with respect to the GPS sensor. The system generates a timestamp based on the selected time source to timestamp sensor data for a sensor unit of the ADV.

Abstract: The systems and methods described herein are generally directed to altering experience attributes. According to one aspect, a computer-implemented method for altering experience attributes based on a comparison of an estimated arrival time to a desired arrival time is provided. The method includes receiving logistical data for a trip of the vehicle occupant. The method also includes estimating an estimated arrival time based on navigation data. The method further includes determining that the estimated arrival time will occur at least a threshold amount of time after a desired arrival time. The method also includes identifying an experience attribute based on the determination that the estimated arrival time will occur at least the threshold amount of time after the desired arrival time. The method further includes altering a vehicle system based on the experience attribute.

Abstract: A pipeline in a controller may be configured to interface between sensors and actuators. The pipeline may include elements such as drivers, filters, a combine, estimators, controllers, a mixer, and actuator controllers. The drivers may receive sensor data and pre-process the received sensor data. The filters may filter the pre-processed sensor data to generate filtered sensor data. The combine may package the filtered sensor data to generate packaged sensor data. The estimators may determine estimates of a position of a vehicle based on the packaged sensor data. The controllers may generate control signals based on the determined estimates. The mixer may modify the generated control signals based on limitations of the vehicle. The actuator controllers may generate actuator control signals based on the modified control signals to drive the actuators.

Abstract: A system and method are provided for adaptively accessing information in a vehicle under test, in a manner to avoid malfunctions associated with accessing the information. A data acquisition device is provided for accessing and retrieving diagnostic data from the vehicle. A memory unit is provided including listing of malfunctioning vehicles, as well as information associated with each of vehicle. At least one service mode request is communicated to the vehicle to identify characteristic information and characteristic features of the vehicle, which information is compared to stored vehicle characteristic information, to determine if the vehicle conforms to any of the listed vehicles, subject to malfunction. If not, additional service requests are communicated to the vehicle. If the vehicle conforms to one or more of the listed vehicles additional service request(s) are modified to remove service requests, or portions thereof, that are associated with the malfunction.

Abstract: A system includes a computer including a processor and a memory, the memory storing instructions executable by the computer to determine a recursive standard deviation and a recursive mean offset of a plurality of steering component angles and to identify a wheel misalignment fault upon determining that the recursive standard deviation is below a deviation threshold and the recursive mean offset is above an offset threshold.

Abstract: A method for determining an external state of an unmanned aerial vehicle (UAV) includes obtaining historical external state information of the UAV, obtaining a current image and a historical image captured before the current image, predicting a matching feature point in the current image that corresponds to a target feature point in the historical image according the historical external state information, and determining the external state of the UAV based on the matching feature point.

Abstract: A method for identifying at least one emitter for monitoring the tire pressure of a motor vehicle by association with one of the wheels of the motor vehicle. The method includes: for each emitter monitoring tire pressure, reconstructing an intermediate-frequency signal from the radiofrequency signal and a reference signal, determining the FFT of the intermediate-frequency signal, determining whether there is a frequency deviation of the intermediate-frequency signal, determining the side of the vehicle on which the emitter monitoring the pressure of a tire is placed, acquiring a signal from the anti-lock braking system for at least one of the wheels on the side on which it was determined that the emitter for monitoring the pressure of a tire is placed, and determining the position of the emitter for monitoring the pressure of a tire depending on the deviation and on the at least one signal from the anti-lock braking system.

Abstract: A moving body includes a drive that causes the moving body to move, a light emitter that emits light, and a receiver that receives response information indicating that an operator who operates the moving body, an observer who observes the moving body, or a supervisor who supervises the moving body sees the light. The moving body also includes a detector that detects a position of the moving body, a recorder that records the position of the moving body, and a controller that, when the receiver receives the response information within a fixed time since the light emitter emitted the light, causes the recorder to record the detected position of the moving body, and when the receiver does not receive the response information within the fixed time, outputs to the drive a control command that causes the moving body to move to the last recorded position.

Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.

Abstract: A hybrid vehicle starts execution of temporary increase control that temporarily increases an allowable discharge power that is a maximum power dischargeable from a power storage device, on satisfaction of a predetermined start condition, and terminates execution of the temporary increase control on satisfaction of a predetermined termination condition. When a predetermined stop condition that is different from the predetermined termination condition is satisfied during execution of the temporary increase control, the hybrid vehicle terminates execution of the temporary increase control and prohibits subsequent execution of the temporary increase control until elapse of a first predetermined time. This configuration suppresses frequent repetition of a temporary increase of the allowable discharge power (output limit) of the power storage device such as a battery and its cancellation.

Abstract: Aspects of the present disclosure relate to a vehicle having one or more computing devices that may receive instructions to pick up a passenger at a location, determine when the vehicle is within a first distance of the location, provide a first notification that the vehicle is within the first distance, and stop the vehicle. When the vehicle is stopped, the computing device may initiate a countdown. When a client computing device associated with the passenger has not been authenticated, the computing devices may provide a second notification based on a first amount of time remaining in the countdown and a third notification indicating that the trip is cancelled based on a second amount of time remaining in the countdown less than the first amount of time. Once the third notification is provided, the computing devices move the vehicle from the where the vehicle is stopped without the passenger.

Abstract: A method for controlling an attitude of a rotor UAV (unmanned aerial vehicle) includes judging whether the rotor UAV is in a first attitude on a support base; and starting a first thrust generating device which is offset from a first side of a center of gravity of the rotor UAV, the first thrust generating device generating a thrust that faces away from the support base while working, the first side moving away from the support base, flipping the rotor UAV and switching the rotor UAV from the first attitude to a second attitude. Also, a system for controlling the attitude of the rotor UAV is provided. According to the method and the system, the rotor UAV can be switched between different attitudes without artificially assisting in adjusting a current attitude of the rotor UAV, so that the convenience in use and the satisfaction of experience are improved.