Abstract: The embodiments of the present disclosure provide a detection method, apparatus for automatic driving sensor, and electronic device. The method includes: pre-establishing a standard association relationship, the sensor to-be-detected is used for capturing in a fixed scene, and a corresponding capturing result is displayed.

Abstract: Disclosed are a super-resolution imaging system (1, 41, 51), a super-resolution imaging method, a biological sample identification system (4, 61) and method, a nucleic acid sequencing imaging system (5) and method, and a nucleic acid identification system (6) and method. The super-resolution imaging system (1, 41, 51) includes an illumination system (A) and an imaging system (B). The illumination system (A) outputs excitation light to irradiate a biological sample to generate excited light, and the imaging system (B) collects and records the excited light to generate an excited light image. The illumination system (A) includes an excitation light source (10, 10a) and a structured light generation and modulation device (11, 11a). The excitation light source (10, 10a) outputs the excitation light, and the structured light generation and modulation device (11, 11a) modulates the excitation light into structured light to irradiate the biological sample to generate the excited light.

Abstract: A device for separating and recovering flat-plate catalyst powder and a method for determining a wear ratio are provided. The device includes a powder separation unit and a powder recovery unit, a powder accumulation bin is respectively connected with a shell and a catalyst powder outlet, a cyclone outlet is configured on an inner side of a recovery shell, and a primary filter and a secondary filter are configured on an inner side wall of the recovery shell.

Abstract: An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.

Abstract: The present application discloses a method, an apparatus, a system, and a storage medium for calibrating an exterior parameter of an on-board camera, relating to the field of autonomous driving technologies. A specific implementation scheme of the method in the application is: preprocessing two frames of images of a former frame and a latter frame collected by the on-board camera; performing feature point matching on the two preprocessed frames of images to obtain matched feature points; determining a moving posture of the on-board camera according to the matched feature points; determining a conversion relationship between a vehicle coordinate system and an on-board camera coordinate system according to the moving posture, and obtaining the external parameter of the on-board camera relative to a vehicle body.

Abstract: Embodiments of the present disclosure provide a method and a device for detecting a precision of an internal parameter of a laser radar, a related apparatus and a medium. The method may include the following steps. Point cloud data collected by the laser radar arranged on an autonomous mobile carrier travelling on a flat road is obtained. A three-dimensional scene reconstruction is performed based on the point cloud data collected to obtain a point cloud model of a three-dimensional scene. The point cloud model of the three-dimensional scene is divided to obtain the road. A thickness of the road is determined based on the point cloud data of the road. It is determined whether the internal parameter of the laser radar is precise based on the thickness of the road.

Abstract: Embodiments of the present disclosure disclose a method for calibrating a relative pose, a device, and a medium. The method includes: obtaining first point cloud data of a scene collected by the laser radar in an automatic driving mobile carrier and first pose data collected by the navigation positioning system in the automatic driving mobile carrier; and determining the relative pose between the laser radar and the navigation positioning system based on the first point cloud data, the first pose data, second point cloud data pre-collected by a laser scanner in the scene and second pose data pre-collected by a positioning device in the scene.

Abstract: A first station generates indication information of any one of an operating channel, an operating band, or an operating channel and an operating band of a wake-up receiver in a second station. The first station sends the indication information, so that the wake-up receiver in the second station works on the indicated operating channel or the indicated operating band. The first station controls the operating channel or the operating band of the wake-up receiver in the second station by generating the indication information.

Abstract: A wireless transmission parameter adjustment method and a related device. The method includes monitoring a frequency parameter of a cell, determining, in response to detecting that the frequency parameter of the cell increases, a location relationship between a first terminal and an access network device, wherein the first terminal is a terminal camping on the cell, and adjusting a target power parameter of the first terminal according to the location relationship between the first terminal and the access network device, so that a radio remote unit power does not exceed a preset power, where the target power parameter is a power parameter other than a cell-specific reference signal power.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, a device, and a medium for determining an angle of yaw, relating to a field of automatic driving. The method includes: obtaining, during a vehicle being driving straightly on a straight road, data of each obstacle in an environment located by the vehicle, the data of each obstacle being detected by a millimeter wave radar sensor located in the vehicle, at least one metal obstacle being provided on the straight road; recognizing the metal obstacle based on the data of each obstacle, and obtaining a metal obstacle line by fitting positions of the metal obstacle at different time points; and determining an angle between the metal obstacle line and a direction of a vehicle body as an angle of yaw between the millimeter wave radar sensor and the vehicle body.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for determining a relative pose, a device, and a medium. The method comprises: obtaining millimeter-wave data for obstacles in a scene collected by a millimeter-wave radar sensor in a vehicle and first data for the obstacles in the scene collected by a first sensor in the vehicle, wherein, at least one millimeter-wave radar signal booster is disposed in the scene as a target obstacle and the obstacles comprise the target obstacle; determining first obstacle data for the target obstacle in a millimeter-wave radar coordinate system and second obstacle data for the target obstacle in a first sensor coordinate system according to the millimeter-wave data and the first data for the obstacles in the scene; and determining the relative pose between the millimeter-wave radar sensor and the first sensor according to the first obstacle data and the second obstacle data.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for clock synchronization, a device, a storage medium and a vehicle. The method includes: determining a first pose change of an image acquirer with respect to a reference coordinate system at different image acquisition time points; determining a second pose change of a calibration acquirer with respect to the reference coordinate system at different corrected image acquisition time points, in which, the different corrected image acquisition correction time points are determined according to the different image acquisition time points and each predetermined correction time variable; and performing a clock synchronization on the image acquirer and the calibration acquirer according to the first pose change of the image acquirer and the second pose change of the calibration acquirer corresponding to the each correction time variable.

Abstract: During GPS-denied/restricted navigation, images proximate a platform device are captured using a camera, and corresponding motion measurements of the platform device are captured using an IMU device. Features of a current frame of the images captured are extracted. Extracted features are matched and feature information between consecutive frames is tracked. The extracted features are compared to previously stored, geo-referenced visual features from a plurality of platform devices. If one of the extracted features does not match a geo-referenced visual feature, a pose is determined for the platform device using IMU measurements propagated from a previous pose and relative motion information between consecutive frames, which is determined using the tracked feature information.

Abstract: The present application discloses a method, an apparatus, a system, and a storage medium for calibrating an exterior parameter of an on-board camera, relating to the field of autonomous driving technologies. A specific implementation scheme of the method in the application is: preprocessing two frames of images of a former frame and a latter frame collected by the on-board camera; performing feature point matching on the two preprocessed frames of images to obtain matched feature points; determining a moving posture of the on-board camera according to the matched feature points; determining a conversion relationship between a vehicle coordinate system and an on-board camera coordinate system according to the moving posture, and obtaining the external parameter of the on-board camera relative to a vehicle body.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for camera calibration processing, a device for vehicle control and a storage medium. In the method according to the embodiments of the present disclosure, at least one pair of images collected by a camera and a vehicle position at a collection time of each of the images are acquired during a process of a vehicle travelling along a straight line, where each pair of images includes images taken by the camera at two different positions, and two images in each pair of images include a common static feature point. A current installation angle of the camera is calculated according to the at least one pair of images and the vehicle position at the collection time of each of the images.

Abstract: Embodiments of the present disclosure provide a sensor calibration method, a sensor calibration device, a computer device, a storage medium, and a vehicle. The method includes: detecting surrounding objects in a travelling process of a vehicle; recognizing a static object from the surrounding objects; performing feature extraction on the static object by a camera and a lidar, respectively; and calibrating an extrinsic parameter of the camera and the lidar based on the extracted feature.

Abstract: Embodiments of the present disclosure provide a multi-sensor calibration method, a multi-sensor calibration device, a computer device, a medium and a vehicle. The method includes: acquiring data acquired by each of at least three sensors in a same time period in a traveling process of a vehicle; determining a trajectory of each of the at least three sensors according to the data acquired by each of at least three sensors; and performing a joint calibration on the at least three sensors by performing trajectory alignment on the trajectories of the at least three sensors.

Abstract: The present disclosure provides a method for calibrating relative parameters of a collector, an apparatus for calibrating relative parameters of a collector, a device and a storage medium. The technical solution of the present disclosure may determine target position and attitude information of a target image collector in a calibration coordinate system when each target image is collected, determine the first position information of a spatial point in a three-dimensional scene point cloud in the calibration coordinate system and the second position information a projection point of the spatial point in each target image, and determine a relative position and attitude value between the target image collector and the reference collector based on the target position and attitude information corresponding to each target image, the first position information and the second position information.

Abstract: The embodiments of the present disclosure provide a detection method, apparatus for automatic driving sensor, and electronic device. The method includes: pre-establishing a standard association relationship, the sensor to-be-detected is used for capturing in a fixed scene, and a corresponding capturing result is displayed.

Abstract: This application provides a wake-up method and device. The method includes: receiving, by a wake-up radio, a first wake-up frame, where the first wake-up frame includes a duration field, and the duration field is used to carry duration information; and waking up, by the wake-up radio, a primary radio based on the duration information. Because a wake-up frame transmitted by an access point includes duration information, a wake-up radio of a station wakes up a primary radio based on the duration information, so that the station can save energy better.