Abstract: A wearable positioning device includes an inertial sensor, a storage device and a processor. The inertial sensor senses an acceleration signal and an angular velocity signal. The storage device stores a previous positioning signal and a current coordinate. The processor is electrically connected to the inertial sensor and the storage device. A wearable positioning method is executed by the processor, which includes: determining whether the wearable positioning device is in one of an under-water mode and an above-water mode according to a pressure sensing signal; calculating, when in the under-water mode, a current acceleration and a current direction according to the acceleration signal, the angular velocity signal, and a swimming posture signal representing a swimming posture; and calculating a current positioning signal according to the current acceleration, the current direction and the previous positioning signal, and updating the current coordinate with the current positioning signal.

Abstract: A method and system for identifying a lane changing intention of a manually driven vehicle are disclosed. The method includes: preprocessing a preset vehicle trajectory data set; extracting vehicle traveling features and driving behavior features of a target vehicle; constructing a vehicle following and lane changing decision prediction model based on machine learning, and inputting the preprocessed vehicle trajectory data set into the prediction model for training; obtaining a speed, an acceleration and a vehicle head distance of the target vehicle according to the vehicle traveling features of the target vehicle, and obtaining a large vehicle feature value and a clustering feature value according to the driving behavior features of the target vehicle; and inputting the speed, the acceleration, the vehicle head distance, the large vehicle feature value and the clustering feature value into the trained prediction model to obtain a lane changing intention identification result of the target vehicle.

Abstract: Systems, apparatuses, and methods for acquiring information regarding weather conditions along a flightpath from other aircraft and incorporating that information into a flight path optimization and planning system. The system and methods may acquire substantially real-time information from pilots or other crew who have encountered a weather system or event (e.g., a wind direction or speed measurement, an observation of a storm or lightning, an observation of a difficulty in controlling an aircraft, unexpected excessive turbulence, etc.) and share that information with other airborne pilots or crew, either directly or using a ground-based server. The server may receive and process the acquired information and determine which aircraft may be likely to encounter or be impacted by a weather system or event for which it has received additional weather-related data and information.

Abstract: When a vehicle is parked while the position of a power-receiving unit with respect to a power-transmitting unit is adjusted, an ECU in a parking assistance apparatus implements first assistance control if it is determined that the power-receiving unit is within a first range and implements second assistance control for controlling the vehicle such that a displacement of the vehicle per unit time is less than that during the first assistance control if it is determined that the power-receiving unit is within a second range.

Abstract: A calibration system calibrates one or more vehicle sensors. The calibration system includes a measuring tool coupleable to a vehicle including the vehicle sensors. The measuring tool generates measurement data associated with a first set of measurements between the measuring tool and a target spaced from the vehicle. The calibration system further includes a line-end tester that compares the measurement data with configuration data associated with a second set of measurements between the measuring tool and the vehicle sensors, and determines one or more aiming parameters associated with the vehicle sensors based on the comparison.

Abstract: A tire air pressure warning device includes a tire air pressure sensor and at least one controller that warns a driver that a tire air pressure detected by the tire air pressure sensor has dropped to or below a first prescribed pressure. The at least one controller further notifies the driver is reduction in the tire air pressure upon determining that the tire air pressure has dropped to or below a second prescribed pressure, which is above the first prescribed pressure. The at least one controller further determines whether the tire air pressure has dropped to or below the second prescribed pressure based on when the tire air pressure is at or below the second prescribed pressure in an ignition switch on state, and whether the tire air pressure has dropped to or below the second prescribed pressure when the ignition switch is turned off.

Abstract: Provided are a method and apparatus for creating a driving route of an autonomous vehicle and a computer program therefor. A method of creating a driving route of an autonomous vehicle, the method being performed by a computing device, includes obtaining information about a start point and an end point, setting an intermediate point between the start point and the end point, and creating a driving route by connecting the start point, the set intermediate point, and the end point, wherein the driving route includes a set of a curve connecting the start point and the set intermediate point and a curve connecting the set intermediate point and the end point, is expressed by a polynomial function for an angle of movement of the autonomous vehicle, and satisfies one or more continuity conditions related to a curvature.

Abstract: A Space Traffic Management (STM) system comprising a Space Traffic Management System Service Supplier (S3) interface for sending a space conjunction request to a Conjunction Assessment Supplier (CAS) interface, and a Space Situational Awareness Supplier (SSA) interface for receiving and fulfilling space object data requests. The system further comprising the Conjunction Assessment Supplier (CAS) interface for receiving the space conjunction request from the S3 interface, requesting and receiving the space object data from the SSA interface, and generating and sending a conjunction data message to the S3 interface. The system enables coordination of an automated service for spacecraft owner operators to anticipate and avoid a space traffic conjunction using the conjunction data message.

Abstract: A control device mounted on a vehicle including one or more processors. The one or more processors are configured to receive a plurality of first requests from a driver assistance system. The one or more processors are configured to arbitrate the first requests. The one or more processors are configured to calculate a second request that has a physical quantity different from that of the first request, based on an arbitration result. The one or more processors are configured to distribute the second request to at least one of a plurality of actuator systems. The one or more processors are configured to output an actual steering angle of the vehicle to the driver assistance system.

Abstract: A system for rendering local aircraft traffic by defining boundaries of risk receives current aircraft locations for a plurality of aircraft, including altitudes, and determines multiple boundaries of risk for each aircraft. The multiple boundaries of risk are then consolidated according to risk level where such boundaries of multiple aircraft overlap or nearly overlap. Areas of risk are outlined according to common risk levels of multiple aircraft and the original diamond icons are unrendered. Ranges to the nearest aircraft in each direction are identified, and indicators of such direction and range to the nearest aircraft are rendered around the aircraft.

Abstract: A system including a vehicle having a network comprising a plurality of end points and a controller, where the controller includes an automation definition circuit, an automation management circuit, and an automation execution circuit. The automation definition circuit is structured to interpret an automation trigger description and an automation action description. The automation management circuit is structured to provide a trigger detection plan and an automated action plan in response to the automation trigger description and the automation action description. The automation execution circuit is structured to determine a trigger event value in response to the trigger detection plan, and to provide an automation command in response to the trigger event value and the automated action plan, where an end point of the plurality of end points is responsive to the automation command to implement an automated vehicle response.

Abstract: An operation method of an optimal route searching device includes: acquiring topology transformed map information; extracting a plurality of candidate routes based on the topology transformed map information; calculating a travel cost for each of the plurality of candidate routes based on a cost function; and determining a candidate route corresponding to a lowest cost one of the calculated travel costs as a travelling route.

Abstract: A recognition sensor includes a three-dimensional sensor and a controller. The three-dimensional sensor scans a scan beam in the horizontal direction, and measures the distance up to each of multiple measurement points defined on a scan line. The controller corrects the elevation angle of the three-dimensional sensor such that the height of a correction point, which is selected from among the multiple measurement points, approaches a predetermined value.

Abstract: A method of determining a trajectory for an autonomous vehicle (AV) is disclosed. When the AV's on-board system detects another actor near the AV, it will generate a virtual doppelganger that is co-located with the autonomous vehicle. The system will predict possible modalities for the other actor and, for each of the modalities, one or more possible trajectories for the other actor. The system then forecast candidate actions of the virtual doppelganger, each of which corresponds to one or more of the possible trajectories of the other actor. The computing system will then determine candidate trajectories of the autonomous vehicle, and it will select one of the candidate trajectories as a selected trajectory for the autonomous vehicle to follow.

Abstract: A mobility player system including memory and a processor is provided. The memory stores a trained AI model. The processor receives on-board diagnostic (OBD) data associated with a first vehicle registered with a first mobility provider. The processor receives occupant data, different from the OBD data, from plurality of sensors associated with the first vehicle. The processor determines a plurality of parameters based on the received OBD data and the received occupant data. The processor applies the trained AI model on the plurality of parameters. The processor determines one or more events related to the first vehicle, or related to an occupant of the first vehicle, based on the application of the trained AI model on the plurality of parameters. The processor transmits information about the determined one or more events to one or more nodes of a distributed ledger associated with a Mobility-as-a-Service (MaaS) network.

Abstract: A calibration method in which, a rotation angle calculation device (20, 30) calculates (S2) a rotation angle ?c based on a detection signal of a sensor, transmits (S3) rotation angle data Dc indicating the rotation angle ?c to a calibration device (40), and transmits (S3) time difference data Dt relating to a time difference after having captured the detection signal until transmitting the rotation angle data to the calibration device, and in which the calibration device measures (S1) a rotation angle ?r, clocks (S1, S4) a measurement time tm at which the rotation angle ?r is measured and a transmission time tt of transmitting or receiving the rotation angle data, and acquires (S5, S6) calibration data Dc of the rotation angle data by comparing the rotation angle ?r measured at a time tc2 obtained by going back in time from the transmission time tt by the time difference after having captured the detection signal until transmitting the rotation angle data and the rotation angle data Da with each other.

Abstract: A sensor fusion target prediction device and method for vehicles that can estimate a prediction value in the state in which no current measurement value is present, and a vehicle including the device are disclosed. The sensor fusion target prediction device may include a learning unit for receiving sensor fusion target information and learning one or more parameters based on the received sensor fusion target information, a prediction unit for, upon receiving current sensor fusion target information, calculating a prediction value of the current sensor fusion target information based on the one or more parameters learned by the learning unit, and a target tracking unit for determining whether the sensor fusion target information is received and tracking a target using the prediction value calculated by the prediction unit based on not receiving the sensor fusion target information.

Abstract: An estimation device for estimating a friction coefficient of a road surface includes a sensor, a moment calculator, and a friction coefficient estimator. The sensor is configured to detect a force acting on a wheel. The moment calculator is configured to calculate a moment around a vertical axis at a center of a ground contact load of a tire of the wheel based on an output of the sensor. The friction coefficient estimator is configured to estimate the friction coefficient of the road surface with which the tire is in contact, based on the moment.

Abstract: A driving assistance apparatus includes a processor having hardware. The processor is configured to acquire vehicle speed data before an ABS of a vehicle is activated and vehicle speed data when the ABS of the vehicle is stopped, calculate a coefficient of sliding friction based on the vehicle speed data before the ABS is activated and the vehicle speed data when the ABS is stopped, determine whether the coefficient of sliding friction is equal to or smaller than a threshold, and detect that a slip due to road freezing has occurred when the coefficient of sliding friction is equal to or smaller than the threshold.

Abstract: A method and processor for controlling steering of a Self-Driving Car (SDC) are disclosed. The method includes: acquiring SDC state data associated with vertices in a graph-structure, using the SDC state data for building a polynomial curve, using the polynomial curve for simulating a candidate trajectory of the SDC as if the SDC is steered in accordance therewith and such that a closest allowed steering wheel position to a non-allowed steering wheel position is used instead of the non-allowed steering wheel position, determining an offset between the simulated state and a target state of the SDC, selecting candidate steering profile as a target steering profile of the SDC based on the offset, and using the target steering profile of the SDC for controlling steering of the SDC. A method of training a Machine Learning Algorithm for predicting steering wheel positions to control steering of the SDC is also disclosed.