Abstract: An example operation includes one or more of initially determining, via one or more sensors on a transport, that the transport is approaching a one-way road in a wrong direction based on a slowing down of the transport and a movement of the transport toward the one-way road, notifying, via the one or more sensors, one or more occupants of the transport about the approaching, and in response to the transport continuing to approach in the wrong direction, slowing the transport, by a computer associated with the transport, to not permit entry into the one-way road.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to detect a moving object in video stream data based on determining an eccentricity map. The instructions can further include instructions to determine a magnitude and direction of motion of the moving object, transform the magnitude and direction to global coordinates and operate a vehicle based on the transformed magnitude and direction.

Abstract: An advanced driver assistance system configured to implement one or more automotive V2V applications designed to assist a driver in driving a Host Motor-Vehicle. The advanced driver assistance system is configured to be connectable to an automotive on-board communication network to communicate with automotive on-board systems to implement one or different automotive functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicle, and informing the driver of the Host Motor-Vehicle of the presence of Relevant Motor-Vehicles deemed to be relevant to the driving safety of the Host Motor-Vehicle.

Abstract: A computer for a roadside infrastructure element includes a processor and a memory. The memory stores instructions executable by the processor to receive communications from a plurality of vehicles; receive sensor data about an area that includes the roadside infrastructure element; based on the sensor data, determine whether the plurality of vehicles includes a priority vehicle or a spoofing vehicle; and specify to the plurality of vehicles a first action upon determining that the plurality of vehicles includes the priority vehicle, and a second action upon determining that the plurality of vehicles includes a spoofing vehicle.

Abstract: The present invention provides a large-scale high-speed rotary equipment measuring and intelligent learning assembly method and device based on vector minimization geometry center, mass center, the center of gravity and the center of inertia, belonging to the technical field of mechanical assembly. The method includes the steps of establishing a four-parameter circular profile measuring model for a single stage of rotor, simplifying the established four-parameter circular profile measuring model for the single stage of rotor, and establishing a four-target optimization model of the geometry center, mass center, the center of gravity and the center of inertia of multiple stages of rotors based on the angular orientation mounting position of each stage of rotor.

Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

Abstract: A positioning method comprises acquiring positioning information of a 5G base station from a satellite, obtaining calibration information based on the positioning information, and broadcasting outwards the calibration information; acquiring initial positioning information of a user terminal from the satellite; accessing a nearest 5G base station in real time, monitoring and acquiring calibration information broadcasted by the nearest 5G base station; and calibrating the initial positioning information acquired in the initial positioning step according to the calibration information acquired in the monitoring step to obtain positioning result information. As described above, the positioning of centimeter level precision can be realized by utilizing the 5G base station, and there is no need to additionally establish a CORS base station and a data center, thereby the cost of precise positioning can be reduced.

Abstract: A bank angle of a vehicle can be accurately calculated using yaw axis data and roll axis data, and based on the calculated bank angle, vehicle illumination optics can be controlled to maintain a pattern of distributed light from the illumination optics to be generally horizontal. The calculated bank angle may be zeroed when the yaw axis data equals zero. The improved pattern of distributed light from the illumination optics illuminates a more natural field of view for the vehicle driver during a bank.

Abstract: A spatial monitoring system for a vehicle includes a LiDAR sensor, sensors arranged to monitor ambient environmental states, sensors arranged to monitor vehicle operating conditions, and a controller. The controller includes an instruction set that is executable to monitor the ambient environmental states and the vehicle operating conditions. The LiDAR sensor captures a point cloud, and the instruction set is executable to determine point cloud metrics. Desired control parameters for the LiDAR sensor are determined based upon the ambient environmental conditions, the vehicle operating conditions, and the point cloud metrics, and the LiDAR sensor is controlled based upon the desired control parameters. The LiDAR sensor is controlled to capture an image of a field-of-view proximal to the vehicle based upon the desired control parameters.

Abstract: The present application discloses an abnormal data collecting method for automatic parking, an apparatus, a storage medium and a product, and relates to automatic driving technology and automatic parking technology in computer technology. A specific implementation i: in response to monitoring that a target vehicle generates a fault code during an automatic parking process, matching the fault code with at least one pre-configured fault code to be collected; in response to determining that the fault code matches the fault code to be collected, determining a data collecting strategy corresponding to the fault code to be collected; and performing a data collecting operation on abnormal data corresponding to the fault code according to the data collecting strategy.

Abstract: A system and a method for automatically configuring a road sensor unit. Embodiments of the invention include detecting, by the road sensor unit, an identification unit of a road socket unit upon insertion of the road sensor unit into the road socket unit, reading, by the road sensor unit, a unique designation of the identification unit of the road socket unit, transmitting, by the road sensor unit, the unique designation and a unique sensor identification of the road sensor unit to a remote server, receiving, by the road sensor unit from the remote server, unique parameters, wherein the unique parameters are based on the unique designation of the identification unit, configuring, by the road sensor unit, the road sensor unit to operate based on the unique parameter and operating said road sensor unit with the configuration.

Abstract: A method, comprising: receiving position data from a mobile device; incrementing a counter variable, said counter variable associated with a predefined geographic area that includes a position of the position data, and initializing a time variable, said time variable set to a predefined value and decremented continuously; and decrementing said counter variable in response to expiration of said time variable.

Abstract: A vehicular device includes: an eye opening degree determiner that determines a driver eye opening degree; a line-of-sight movement determiner that determines frequency of a driver line-of-sight movement; an operation determiner that determines a driver operation state for a driving operation instrument; a deviation determiner that determines a possibility that a driving state of a subject vehicle driver deviates from a safe driving state; a vehicle inside notification controller that performs a notification operation for a vehicle inside; and a vehicle outside notification controller that performs a notification operation for a vehicle outside.

Abstract: A method for determining driving strategy of a vehicle includes obtaining localization information of the vehicle, a driving route of the vehicle, and a current driving velocity of the vehicle. The method further includes detecting and interpreting a current status of a traffic light. The method further includes recognizing a duration of the current status of the traffic light. The method further includes detecting a relevant stop line. The method further includes obtaining a distance between the stop line and the vehicle. The method further includes determining whether to change the current driving velocity according to the current status of the traffic light, the duration of the current status of the traffic light, the distance between the traffic stop line and the vehicle, and the current driving velocity. A data processing device for determining driving strategy of a vehicle is also provided.

Abstract: A road resource is identified, according to one or more maneuver sharing intent messages received to the vehicle via a transceiver of a vehicle, where the road resource is contested between the vehicle and one or more other vehicles and includes a portion of a roadway to be traversed by the vehicle and also the one or more other vehicles. A conflict resolution procedure is performed to determine whether the vehicle gains access to the road resource, wherein the conflict resolution procedure is independently performed by each of the vehicle and the one or more other vehicles. One of the vehicle or the one or more other vehicles is granted access to the road resource based on the conflict resolution procedure.

Abstract: The present invention provides a vehicle control device and a vehicle control simulation device that enable, even for parallel processing with a plurality of arithmetic devices, approximation in act between at verification of simulation operation on a model base and at verification of operation on an actual vehicle. Provided are: control model information for control of a system; hardware information for operation of a control model; arithmetic-device allocation information as to which arithmetic device in hardware is allocated to perform arithmetic processing to a control program in the control model; delay time information regarding a case where the control model operates on the hardware; and a delay-time adding unit configured to create delay-inclusive control model information in which the delay time information is inserted in the control model, based on at least either the arithmetic-device allocation information or the hardware information.

Abstract: A technology of controlling vehicle environment data transmission between a vehicle and a server is configured to receive mode information determining a mode among a monitoring mode, an urgency mode, or an efficiency mode. When determined to be operated in the monitoring mode, a control command for instructing the vehicle to perform a continuous monitoring or a regular monitoring of an environment of the vehicle is generated. When determined to be operated in the urgency mode, a control command for instructing the vehicle to transmit an increased amount of the vehicle environment data from the vehicle to the server is generated. When determined to be operated in the efficiency mode, a control command for instructing the vehicle to store the vehicle environment data and to selectively transmit the vehicle environment data based on at least two different data transmission standards is generated.

Abstract: The present disclosure relates to a vehicle having a communication device configured to communicate with an external server through a plurality of channels, and a vehicle control device configured to control the communication device to receive a safety-related message from the external server. The plurality of channels includes a first channel that is allocated to transmit and receive the safety-related message, and the vehicle control device is configured to control the communication device to receive the safety-related message from the external server through a second channel that is different from the first channel.

Abstract: The present application discloses an abnormal data collecting method for automatic parking, an apparatus, a storage medium and a product, and relates to automatic driving technology and automatic parking technology in computer technology. A specific implementation i: in response to monitoring that a target vehicle generates a fault code during an automatic parking process, matching the fault code with at least one pre-configured fault code to be collected; in response to determining that the fault code matches the fault code to be collected, determining a data collecting strategy corresponding to the fault code to be collected; and performing a data collecting operation on abnormal data corresponding to the fault code according to the data collecting strategy.

Abstract: A node is provided for capturing information about moving objects at an intersection. The node includes a plurality of first cameras that are positioned to capture first digital images of an intersection from different fields of view and a second camera positioned to capture second digital images in a field of view that is wider than that of each first camera. The node includes a processor that detects in the first and second digital images a set of objects of interest of the intersection, determines motion of each detected object of interest in the set from consecutive images of the first digital images or the second digital images. The node generates, for each object of interest of the set, augmented perception data that includes location data in the global coordinate system and the determined motion of each object of interest in the set.