Abstract: An electronic device and an operating method thereof may be configured to detect input data having a first time interval, detect first prediction data having a second time interval based on the input data using a preset recursive network, and detect second prediction data having a third time interval based on the input data and the first prediction data using the recursive network. The recursive network may include an encoder configured to detect each of a plurality of feature vectors based on at least one of the input data or the first prediction data, an attention module configured to calculate each of pieces of importance of the feature vectors by calculating the importance of each feature vector, and a decoder configured to output at least one of the first prediction data or the second prediction data using the feature vectors based on the pieces of importance.

Abstract: A control device for a power steering device includes a low-pass filter unit including a cutoff frequency adjustment unit configured to adjust a cutoff frequency for partially attenuating a component of an input signal, set the cutoff frequency to a first cutoff frequency when a steering torque signal is lower than a first predetermined torque value, and to set the cutoff frequency to a second cutoff frequency lower than the first cutoff frequency when the steering torque signal is equal to or higher than the first predetermined torque value.

Abstract: A road condition estimation device 2 includes: a reception unit 21 that receives pieces of sensor information from automobiles respectively, each piece of sensor information including positional information that is information regarding a position at which an automobile travels, and spectral information obtained by converting an acoustic signal generated when the automobile travels at the position into information in a frequency domain; a first classification unit 22 that classifies the pieces of spectral information respectively for roads on which the automobiles travel, based on pieces of positional information included in the pieces of sensor information thus received; and an estimation unit 23 that estimates a condition of a road for each of the pieces of spectral information classified by the first classification unit.

Abstract: A sensor controller, which controls a first optical sensor and a second optical sensor respectively having beam irradiation ranges, shifted from each other, for scanning a substantially front direction and a substantially side direction of a vehicle. The sensor controller: determines when an abnormality occurs in either the first optical sensor or the second optical sensor; identifies an abnormal sensor in which abnormality has occurred and a normal sensor that maintains normality; and controls a beam pattern in a beam irradiation range of the normal sensor to have a degeneration pattern with a high density in a region overlapping a beam irradiation range of the abnormal sensor.

Abstract: Sensor data and data from V2V messages are used to detect obstacles. Additional obstacles are identified in map data according to a vehicle's position. In response to detecting a turn intent, a controller calculates a turn path according to the detected obstacles and properties of the vehicle. The turn path is presented to a user, such as by display on a HUD or superimposing the turn path on an image from a forward facing camera. A desired steering angle to traverse the turn path may be displayed, such as relative to the current steering angle of the vehicle. Notifications regarding the path and turning intent of other vehicle may be displayed along with the turn path.

Abstract: An apparatus for controlling platooning includes a recognizing device to recognize front information of a vehicle by using at least one sensor, a communication device to support vehicle to vehicle communication, and a processor connected with the recognizing device and the communication device. The processor acquires information on a first line in front of the vehicle, through the recognizing device, receives information on a second line, which is transmitted from a preceding vehicle, through the communication device, generates information on a third line by using the information on the first line and the information on the second line, based on information on the preceding vehicle, generates information on a final line by using the information on the first line, the information on the second line, and the information on the third line, and plans a path for the platooning by utilizing the information on the final line.

Abstract: Systems and methods are directed to an autonomy computing system for an autonomous vehicle. The autonomy computing system can include functional circuits associated with a first compute function of the autonomous vehicle. Each of the functional circuits can be configured to obtain sensor data that describes one or more aspects of an environment external to the autonomous vehicle at a current time. Each of the functional circuits can be configured to generate, over a time period and based on the sensor data, a respective output according to the specified order. The autonomy computing system can include monitoring circuits configured to evaluate an output consistency of the respective outputs, and in response to detecting an output inconsistency between two or more of the respective outputs, generate data indicative of a detected anomaly associated with the first autonomous compute function.

Abstract: A fleet management server is configured to receive, via a wireless transceiver, driver and vehicle information from a plurality of vehicles relating to a plurality of drivers. The server computes, based on the received driver and vehicle information, occurrence rates for predetermined vehicle events and predetermined vehicle error codes that are associated with possible vehicle tampering, and then compares, based on the received driver and vehicle information, an occurrence rate for the predetermined vehicle events and predetermined vehicle error codes of a first driver to occurrence rates for the predetermined vehicle events and predetermined vehicle error codes of one or more of the other plurality of drivers.

Abstract: An optical device includes a light source provided with a plurality of surface-emitting laser elements to emit a laser beam, a scanner to scan the laser beam emitted from the light source, and an optical system disposed in an optical path between the light source and the scanner and to guide the laser beam to the scanner. The optical system includes a first optical element to control a divergence angle of the laser beam emitted from the light source and a second optical element to concentrate the laser beam that has passed through the first optical element onto a to-be-scanned surface of the scanner.

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: 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 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 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 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: A vehicle control apparatus configured to calculate a center of gravity six-component; calculate a tire three-component of each wheel for two or more wheels of a vehicle imposing a constraint on each wheel expressed as an inequality corresponding to upper and lower limits of the tire three-component; apply the constraint based on whether the constraint is valid or invalid for each of the wheels based on a predetermined optimum-condition for obtaining an optimum-solution under the constraint, and calculating an optimum-solution of the tire three-component of each wheel by performing a tentative-optimum-solution-calculation one or more times until the predetermined optimum-condition is satisfied; and store an application-state of the constraint when the optimum-solution satisfying the predetermined optimum-condition is obtained, and calculate the optimum-solution of the tire three-component of each wheel by using a stored value of the application-state of the constraint, in the next calculation of the optimum-s

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: An embodiment provides a laser scanning device, which includes a lens fixture, a lens and a light path regulation mechanism. The lens is arranged on the lens fixture, and one side of the lens faces incident light. The light path regulation mechanism is connected with the lens fixture and includes a distance regulation component and a rotation driving component, the distance regulation component is configured to regulate a position of the lens fixture, the distance regulation component regulates the position of the lens fixture to correspondingly regulate an eccentric distance of the lens relative to the incident light, the rotation driving component is configured to drive the lens to rotate around a set rotation axis that is parallel to an optical axis of the lens. Another embodiment discloses a laser radar.

Abstract: A platooning system for causing multiple vehicles to travel in a platoon includes: a management device configured to set an order of the vehicles in the platoon; a transmission device mounted on each vehicle and configured to transmit driving information regarding a driving state of the vehicle; a reception device mounted on each vehicle and configured to receive the driving information of at least one of the vehicles; and a control device mounted on each vehicle and configured to control an operation of the vehicle based on the driving information, wherein the management device is configured to arrange the vehicles from a front end to a rear end with respect to a travel direction in an ascending order of driving performances of the vehicles.