Abstract: Embodiments of the disclosure provide an ultrasound beamforming method and device. The method includes: obtaining channel data of a target tissue; and processing the channel data using at least two different ultrasound beamforming methods to obtain image data of the target tissue corresponding to the different ultrasound beamforming methods, where the at least two different ultrasound beamforming methods are different in at least one of principle, step, and parameter.

Abstract: Embodiments of the disclosure provide an ultrasound beamforming method and device. The method includes: obtaining channel data of a target tissue; and processing the channel data using at least two different ultrasound beamforming methods to obtain image data of the target tissue corresponding to the different ultrasound beamforming methods, where the at least two different ultrasound beamforming methods are different in at least one of principle, step, and parameter.

Abstract: The present application discloses a method, a device, equipment, and storage medium for determining a sensor solution, where the method includes: establishing a simulated unmanned vehicle and a simulation scene, where the simulation scene is used for the simulated unmanned vehicle to perform simulation driving; determining a first sensor solution according to a initialization parameter, and determining, according to the first sensor solution, simulation data generated by the simulated unmanned vehicle during the simulation driving in the simulation scene; and; and determining a first perception parameter of the first sensor solution according to the simulation data, and correcting the first sensor solution according to the first perception parameter to obtain a sensor solution applied to an unmanned vehicle.

Abstract: The present disclosure discloses a lighting device and a ceiling light, the lighting device includes: a chassis, at least one lighting module, a drive power supply, and a first mounting component; the lighting module and the drive power supply are arranged on the chassis; the first mounting component is configured to mount the lighting module and the drive power supply on the chassis in a covering mode, the first mounting component includes a main body unit, at least one first accommodating part, and at least one second accommodating part, the first accommodating part and the second accommodating part are both arranged on the main body unit; and one end of the lighting module is electrically connected in the first accommodating part, one end of the drive power supply is connected in the second accommodating part, and the drive power supply supplies power to the lighting module.

Abstract: A method and system for estimating an absolute velocity of an obstacle are provided. The method can include measuring an absolute velocity of a motor vehicle at a current moment t1 by an integrated navigation device, and storing the measured absolute velocity of the motor vehicle at the current moment t1 in a data table, obtaining a relative velocity of the obstacle relative to the motor vehicle at a second moment t2 by a millimeter wave radar; adjusting the relative velocity of the obstacle at the second moment t2 to a relative velocity of the obstacle at the current moment t1, and obtaining the absolute velocity of the obstacle at the current moment t1 by adding the absolute velocity of the motor vehicle at the current moment t1 to the relative velocity of the obstacle at the current moment t1 after an adjustment.

Abstract: The present disclosure discloses a lighting device and a ceiling light, the lighting device includes: a chassis, at least one lighting module, a drive power supply, and a first mounting component; the lighting module and the drive power supply are arranged on the chassis; the first mounting component is configured to mount the lighting module and the drive power supply on the chassis in a covering mode, the first mounting component includes a main body unit, at least one first accommodating part, and at least one second accommodating part, the first accommodating part and the second accommodating part are both arranged on the main body unit; and one end of the lighting module is electrically connected in the first accommodating part, one end of the drive power supply is connected in the second accommodating part, and the drive power supply supplies power to the lighting module.

Abstract: The disclosure describes various embodiments for online system-level validation of sensor synchronization. According to an embodiment, an exemplary method of analyzing sensor synchronization in an autonomous driving vehicle (ADV) include the operations of acquiring raw sensor data from a first sensor and a second sensor mounted on the ADV, the raw sensor data describing a target object in a surrounding environment of the ADV; and generating an accuracy map based on the raw sensor data in view of timestamps extracted from the raw sensor data. The method further includes the operations of generating a first bounding box and a second bounding box around the target object using the raw sensor data; and performing an analysis of the first and second bounding boxes and the accuracy map using a predetermined algorithm in view of one or more pre-configured sensor settings to determine whether the first sensor and the second sensor are synchronized with each other.

Abstract: The present application discloses a method, a device, equipment, and storage medium for determining a sensor solution, where the method includes: establishing a simulated unmanned vehicle and a simulation scene, where the simulation scene is used for the simulated unmanned vehicle to perform simulation driving; determining a first sensor solution according to a initialization parameter, and determining, according to the first sensor solution, simulation data generated by the simulated unmanned vehicle during the simulation driving in the simulation scene; and; and determining a first perception parameter of the first sensor solution according to the simulation data, and correcting the first sensor solution according to the first perception parameter to obtain a sensor solution applied to an unmanned vehicle.

Abstract: A method and apparatus for measuring an angular resolution of a multi-beam lidar. The method includes: acquiring, when a checkerboard calibration plate is scanned by a multi-beam lidar, an image of the checkerboard calibration plate photographed by a camera; identifying a checkerboard in the image, and determining a physical length characterized by a unit pixel of the image based on shape and length information of each checker in the checkerboard calibration plate; determining a center light spot and a light spot pair in the image; determining an angle between a laser beam corresponding to each light spot of the light spot pair and a laser beam corresponding to the center light spot based on the physical length characterized by the unit pixel, the center light spot and the light spot pair; and determining the angular resolution of the multi-beam lidar based on the determined angle.

Abstract: The disclosure describes various embodiments for online system-level validation of sensor synchronization. According to an embodiment, an exemplary method of analyzing sensor synchronization in an autonomous driving vehicle (ADV) include the operations of acquiring raw sensor data from a first sensor and a second sensor mounted on the ADV, the raw sensor data describing a target object in a surrounding environment of the ADV; and generating an accuracy map based on the raw sensor data in view of timestamps extracted from the raw sensor data. The method further includes the operations of generating a first bounding box and a second bounding box around the target object using the raw sensor data; and performing an analysis of the first and second bounding boxes and the accuracy map using a predetermined algorithm in view of one or more pre-configured sensor settings to determine whether the first sensor and the second sensor are synchronized with each other.

Abstract: A method and system for estimating an absolute velocity of an obstacle are provided. The method can include measuring an absolute velocity of a motor vehicle at a current moment t1 by an integrated navigation device, and storing the measured absolute velocity of the motor vehicle at the current moment t1 in a data table, obtaining a relative velocity of the obstacle relative to the motor vehicle at a second moment t2 by a millimeter wave radar; adjusting the relative velocity of the obstacle at the second moment t2 to a relative velocity of the obstacle at the current moment t1, and obtaining the absolute velocity of the obstacle at the current moment t1 by adding the absolute velocity of the motor vehicle at the current moment t1 to the relative velocity of the obstacle at the current moment t1 after an adjustment.

Abstract: The present disclosure provides a roadside sensing system based on vehicle infrastructure cooperation and a method for controlling a vehicle thereof. The system includes a target vehicle and an intelligent roadside device provided on a road segment divided by a preset distance. The intelligent roadside device comprises a roadside sensing module, a roadside processing module, and a roadside communication module. The roadside sensing module comprises a sensor configured to acquire surrounding environment information of the target vehicle. The roadside processing module is configured to perform fusion processing on the surrounding environment information acquired to form road environment information. The roadside communication module is configured to send the road environment information to the target vehicle.

Abstract: The present disclosure discloses a method and apparatus for measuring an angular resolution of a multi-beam lidar. The method comprises: acquiring, when a checkerboard calibration plate is scanned by a multi-beam lidar, an image of the checkerboard calibration plate photographed by a camera; identifying a checkerboard in the image, and determining a physical length characterized by a unit pixel of the image based on shape and length information of each checker in the checkerboard calibration plate; determining a center light spot and a light spot pair in the image; determining an angle between a laser beam corresponding to each light spot of the light spot pair and a laser beam corresponding to the center light spot based on the physical length characterized by the unit pixel, the center light spot and the light spot pair; and determining the angular resolution of the multi-beam lidar based on the determined angle.