Abstract: The present disclosure relates to a system for monitoring and/or detecting an operational state of a movable component of an aircraft, wherein the system has a movable component and a monitoring device, wherein the system also has a combination sensor connected to the monitoring device, which is designed and arranged to detect a kinematic and/or kinetic state of the component, wherein the monitoring device is designed to monitor and/or detect an operational state of the component.

Abstract: A state of charge (SOC) control method of controlling the SOC of a fuel cell electric vehicle (FCEV) in response to a change in altitude of the FCEV is provided. The method may include setting a first altitude at a start time of operating the FCEV; determining, based on a measurement value of an accelerometer, a travel distance and a first amount of altitude change during a predetermined time duration since the start time; determining an adjustment time for adjusting past driving data of the FCEV; determining, based on the adjustment time, a second amount of altitude change; determining, based on the second amount of altitude change, a target state of charge (SOC) as an input parameter; determining, based on a comparison between a current SOC and the target SOC, a required amount of additional fuel cell (FC) power generation; and controlling the FCEV.

Abstract: A method may include determining a number of vehicles depicted in one or more images of at least a portion of a transportation network. The method may include determining, from the one or more images, respective lengths of segments in the transportation network corresponding to individual vehicles of the vehicles depicted in the one or more images. The method may also include determining an observed traffic density and an observed network flow corresponding to the transportation network based on the number of vehicles and the respective lengths of segments. The method may include determining a traffic density estimation and a network flow estimation, using a traffic simulator. The method may additionally include adjusting the traffic simulator based on the observed traffic density, the traffic density estimation, the observed network flow, and the network flow estimation.

Abstract: Embodiments relate to an aircraft control and interface system configured to adaptively control an aircraft according to different flight states by modifying one or more processing control loops. The system receives sensor data from one or more sensors of the aircraft. The system determines, from the sensor data, a component of the aircraft is compromised. The system determines the aircraft is in a degraded flight state due to the compromised component. The system operates the aircraft according to the degraded flight state, wherein operating the aircraft according to the degraded flight state includes: (a) modifying one or more processing loops based on the degraded flight state and (b) generating an actuator command by applying the degraded flight state and a signal based on an input from a vehicle control interface to the modified one or more processing loops.

Abstract: A control system to control ejection of an ejection seat includes a sensor configured to measure ejection environment parameters at time of ejection from an aircraft and a controller in signal communication with the sensor. The controller receives the ejection environment parameters and stores an ejection sequence operable according to a plurality of different ejection sequence modes. The controller determines a weight of an occupant seated in the ejection seat and a target ejection sequence mode among the plurality of different ejection sequence modes based on the ejection environment parameters and the weight of the occupant. The controller executes the ejection sequence according to the target ejection sequence mode to eject the ejection seat and safely recover the occupant.

Abstract: Systems and methods for hailing and using an autonomous storage vehicle. A user uses the storage vehicle to store goods purchased. The storage vehicle carries the goods and stays in a designated area nearby. The storage vehicle goes to the user only when the user calls it. The user meets with the storage vehicle in a meeting area of a parking lot to retrieve the goods.

Abstract: A method of performing a vehicle advanced driver assist system (ADAS) calibration service operation with a vehicle diagnostic computer tool that includes positioning a vehicle relative to an ADAS target system for calibrating a vehicle sensor on the vehicle. The ADAS target system is configured to support an ADAS target for use in calibrating the vehicle sensor. The method includes communicatively coupling a vehicle diagnostic computer tool to an electronic system of the vehicle and obtaining with the vehicle diagnostic computer tool vehicle data from the electronic system of the vehicle. ADAS target data is received at the vehicle diagnostic computer tool from the ADAS target system. Lastly, the method includes confirming with the vehicle diagnostic computer tool that the vehicle and ADAS target system are configured for undergoing an ADAS calibration of the vehicle sensor based upon the vehicle data and the ADAS target data.

Abstract: Described herein are various systems and processes for predictive operating assistance of vehicles. The systems and techniques described herein may be applicable to vehicles such as vehicles operated by a driver, semi-autonomous vehicles, and/or autonomous vehicles. The assistance techniques described herein may be predictive. That is, the techniques allow for the prediction of non-optimal or dangerous operating conditions before the vehicle control is compromised. Accordingly, a warning may be provided and/or operation of the vehicle may be changed based on the predictive assistance determinations. In certain embodiments, the techniques described herein may provide warnings to a driver, may detect faults within the vehicle, may aid in route planning, may detect obstacles proximate to the vehicle, and/or may aid in the operation of the vehicle.

Abstract: A wiper control device includes an acquisition unit and an estimation unit. The estimation unit is configured to acquire a value related to a current flowing through a wiper motor that drives a wiper configured to reciprocate between a first position and a second position. The estimation unit is configured to estimate a wiper angle, which is a rotation angle of the wiper, based on a current ripple in the current flowing through the wiper motor. The current ripple has a periodicity corresponding to driving of the wiper motor.

Abstract: A virtualized aircraft control architecture comprises a human-machine interface configured for generating a main command for arranging a functional element into a target configuration among a plurality of configurations; and a control module for controlling the functional element between its configurations. The architecture comprises a confirmation module of the main command configured for generating an associated safety command, an interface module configured for sending the main command and the safety command to the control module; the control module moving the functional element into the target configuration when the main command and the safety command, respectively, correspond to an expected main command and an expected safety command for arranging the at least one functional element in the target configuration.

Abstract: A storage stores at least one piece of registered correction data including a plurality of registered values associated with a plurality of section angle ranges. A controller executes parallel winch control of causing a derricking winch and a hoisting winch to operate. The controller specifies a reference target value corresponding to a derricking angle, from the plurality of registered values. In a correction period corresponding to a point of time at which a correction operation is detected, the controller corrects the reference target value used for deriving an operation speed of the hoisting winch in the parallel winch control, in accordance with a specified value specified by the correction operation. The controller updates data of the reference target value corresponding to the correction period to data corrected with the specified value.

Abstract: Multiple autonomous underwater vehicles (AUVs) are operated by a host platform by configuring the AUVs with intermediate nodes (such as unmanned surface vehicles (USVs)) so as to allow the host platform to manage multiple AUVs. The intermediate nodes act as a relay for communications between the host platform and the AUVs allowing the host platform to scale to higher numbers of vehicles thus simultaneously operating the entire fleet of AUVs. The AUVs may provide underwater mapping data. The host platform may be stationary. The host platform may communicate with the intermediate nodes by satellite.

Abstract: A control system for controlling a pipe navigation apparatus in a pipe includes a tether sensor configured to detect release of a tether from a tether guide device. The tether extending from the tether guide device to the pipe navigation apparatus. The control system further includes a traction sensor configured to detect a traction force between the pipe navigation apparatus and the pipe and a controller in communication with the tether sensor and the traction sensor. The controller is configured to automatically control the pipe navigation apparatus to adjust the traction force based on the detected release of the tether from the tether guide device.

Abstract: Systems, methods, computer-readable media, and apparatuses for providing hazard detection and broadcast functions are provided. In some examples, sensor data may be captured by a mobile device, vehicle, or the like. The data may be used to detect a hazard, identify a type of hazard, and the like. One or more users or groups of users for notification of the hazard may be identified and one or more notifications may be transmitted to users within the group.

Abstract: A method for electronically diagnosing an electric drive chain for an electric or hybrid motor vehicle. The drive chain including an electric battery, an electric machine, an inverter connected between the battery and the electric machine, and a link capacitor connected in parallel between the battery and the inverter. The diagnosis method includes: i) continuously controlling the increase in the control frequency of the electric machine; ii) determining the variation in the Fourier transform of the current variation between the assembly comprising the battery and the link capacitor and between the inverter; iii) for each control frequency: 1) detecting an anomaly; 2) otherwise, determining when the control frequency value is optimal.

Abstract: A system for displaying an engine out flight plan via an aircraft display device includes a processor and computer-readable memory operably connected to the processor. The computer-readable memory is encoded with instructions that, when executed by the processor, cause the system to perform the following step: receive an engine out procedure, generate the engine out flight plan based upon the engine out procedure, display the engine out flight plan via the aircraft display device, receive an indication of an engine anomaly, and update a guidance aid overlay on the aircraft display device to display a flight attitude based upon the engine out flight plan in response to the indication of the engine anomaly via the aircraft display device.

Abstract: An autonomous driving control system and a method thereof are provided. The autonomous driving control system includes a strategy performing device that generates and performs a stop strategy of a vehicle on the basis of a target stop location, when a critical situation occurs during autonomous driving, a behavior controller that controls a behavior of the vehicle depending on the stop strategy, and an emergency module controller that runs a predetermined emergency module, when the critical situation occurs.

Abstract: There are provided a straddle vehicle and a method for controlling a vehicle. the straddle vehicle includes: a vehicle body; an electric motor mounted on the vehicle body as a driving source and rotatable in positive and reverse directions; a battery mounted on the vehicle body and configured to supply electric power to the electric motor; and a processing circuitry configured to control the electric motor. The processing circuitry is configured to: acquire vehicle state information capable of determining whether a vehicle state of the straddle vehicle is a forward traveling state or a backward traveling state, and operation information capable of determining whether a user operation is a forward traveling operation or a backward traveling operation; and switch between power running control and regeneration control based on the vehicle state information and the operation information.

Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).

Abstract: A log management device acquires an alive monitoring log indicating that a security sensor of an electronic control unit mounted on a vehicle is operating; records acquisition of the alive monitoring log in an alive monitoring table; identifies an unacquired alive monitoring log, and records, in the alive monitoring table, an unacquired period during which the unacquired alive monitoring log is not acquired; and invalidates a record of the unacquired alive monitoring log in the alive monitoring table when the unacquired period of the unacquired alive monitoring log is equal to or longer than a predetermined period.