Abstract: A photographing device for a vehicle and relates to the field of automatic driving technology is disclosed. The specific solution is that the photographing device includes a seat; a camera mounted on the seat; a lens holder mounted on the seat and rotatable relative to the seat; a transparent lens mounted on the lens holder and arranged opposite to the camera; and a driving assembly connected with the lens holder to drive the lens holder to rotate relative to the base.

Abstract: A method and an apparatus for determining a road surface adhesion coefficient are provided. The method includes: determining, based on M state parameters of a vehicle on a target road section, M road surface adhesion coefficient estimation results respectively corresponding to the M state parameters, M being an integer greater than 1; selecting N road surface adhesion coefficient estimation results from the M road surface adhesion coefficient estimation results according to a traveling work condition of the vehicle on the target road section, N being a positive integer smaller than or equal to M; and determining a road surface adhesion coefficient of the target road section based on the N road surface adhesion coefficient estimation results.

Abstract: The present disclosure provides an autonomous driving vehicle detection method and apparatus, an electronic device and a readable storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence technologies such as intelligent transportation and autonomous driving technologies. A specific implementation solution involves: acquiring passengers' ride information on an autonomous driving vehicle; determining a vehicle component change state of the autonomous driving vehicle according to the ride information of the autonomous driving vehicle; wherein the vehicle component change state includes a door change state of the autonomous driving vehicle and a seat belt change state of the autonomous driving vehicle; and determining a seat load of the autonomous driving vehicle according to the vehicle component change state of the autonomous driving vehicle.

Abstract: A method for calibrating a Lidar and a positioning device, a device, and a storage medium. The method includes: acquiring a point-cloud data sequence of the Lidar and a pose data sequence of the positioning device, in which, the Lidar and the positioning device are on a same traveling device; determining first trajectory information of the Lidar and second trajectory information of the positioning device according to the point-cloud data sequence and the pose data sequence; and determining a calibration offset between the Lidar and the positioning device according to the first trajectory information and the second trajectory information, in which, a matching degree between the first trajectory information and the second trajectory information satisfies a preset matching degree condition under a trajectory information correspondence determined based on the calibration offset.

Abstract: A registration method and a registration apparatus for an autonomous vehicle is provided. The method includes: generating a first trajectory curve based on first detection poses of a vehicle-mounted camera at a plurality of first time points, generating a second trajectory curve based on second detection poses of a vehicle-mounted positioning device at a plurality of second time points, aligning the first trajectory curve with the second trajectory curve based on the first detection poses and the second detection poses, and registering the vehicle-mounted camera and the vehicle-mounted positioning device based on the first trajectory curve and the second trajectory curve aligned with each other.

Abstract: A mixing nozzle includes a first connector, a second connector, a first channel and a second channel, where a first end of the first channel is connected to the first connector, and a second end of the first channel is provided with a spraying opening in communication with the first channel; a first end of the second channel is connected to the second connector, and a second end of the second channel is in through connection with the first channel; the first connector is configured to introduce a first fluid into the first channel, and the second connector is configured to introduce a second fluid into the second channel; and a length of the second channel is less than a length of the first channel.

Abstract: A lidar map-based loop detection method, an electronic device, and a storage medium, which are related to a field of intelligent transportation and a technical field of automatic driving. The specific implementation include: acquiring an eigenvector of each grid in each sub-map of N sub-maps of the lidar map; determining a target eigenvector of each grid in each sub-map of the N sub-maps according to the eigenvector of each grid in each sub-map of the N sub-maps; constructing histograms of the N sub-maps according to the target eigenvector of each grid in each sub-map of the N sub-maps; and determining that a loop relation exists between two target sub-maps in the N sub-maps, in case that a similarity of histograms of the two target sub-maps is greater than a preset threshold value.

Abstract: A photographing device for a vehicle and relates to the field of automatic driving technology is disclosed. The specific solution is that the photographing device includes a seat; a camera mounted on the seat; a lens holder mounted on the seat and rotatable relative to the seat; a transparent lens mounted on the lens holder and arranged opposite to the camera; and a driving assembly connected with the lens holder to drive the lens holder to rotate relative to the base.

Abstract: A lidar base, a lidar device and an autonomous vehicle are provided, and relate to the technical field of automatic driving. Wherein, the lidar base includes: a seat body for installing a lidar assembly; a cover plate arranged on the seat body, and a diversion gap being defined between the cover plate and the base body, wherein an air outlet of the diversion gap is arranged toward the lidar assembly.

Abstract: The present disclosure discloses a method and an apparatus for recognizing an image. A specific implementation of the method comprises: acquiring a to-be-recognized image containing a to-be-recognized object; sending the to-be-recognized image to a server, and receiving identification information of a target object corresponding to the to-be-recognized object returned by the server, obtained by recognizing the to-be-recognized image, and a confidence parameter returned by the server; and determining the identification information of the target object as a recognition result when the confidence parameter is greater than a confidence threshold; or acquiring labeled information associated with the to-be-recognized image from a third-party platform and determining the labeled information as the recognition result when the confidence parameter is smaller than the confidence threshold.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing an image. A preferred embodiment of the method comprises: receiving video data acquired by a web camera and decoding the video data to obtain at least one to-be-processed image containing a face image; determining a face region image in the to-be-processed image; and extracting facial feature information from the face region image, the facial feature information comprising at least one of the following: facial form information, eyebrow information or eye shape information. The embodiment acquires video data by means of a web camera, which ensures the quality of the acquired image, realizes the pre-processing of the to-be-processed image and is useful to improve the accuracy of the subsequent face recognition.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recognizing a face. A specific embodiment of the method includes: acquiring at least two facial images of a to-be-recognized face under different illuminations using a near-infrared photographing device; generating at least one difference image based on a brightness difference between each two of the at least two facial images; determining a facial contour image of the to-be-recognized, face based on the at least one difference image; inputting the at least two facial images, the at least one difference image, and the facial contour image into a pre-trained real face prediction value calculation model to obtain a real face prediction value of the to-be-recognized face; and outputting prompt information for indicating successful recognition of a real face, in response to determining the obtained real face prediction value being greater than a preset threshold.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recognizing a face. A specific embodiment of the method includes: acquiring at least two facial images of a to-be-recognized face under different illuminations using a near-infrared photographing device; generating at least one difference image based on a brightness difference between each two of the at least two facial images; determining a facial contour image of the to-be-recognized, face based on the at least one difference image; inputting the at least two facial images, the at least one difference image, and the facial contour image into a pre-trained real face prediction value calculation model to obtain a real face prediction value of the to-be-recognized face; and outputting prompt information for indicating successful recognition of a real face, in response to determining the obtained real face prediction value being greater than a preset threshold.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing an image. A preferred embodiment of the method comprises: receiving video data acquired by a web camera and decoding the video data to obtain at least one to-be-processed image containing a face image; determining a face region image in the to-be-processed image; and extracting facial feature information from the face region image, the facial feature information comprising at least one of the following: facial form information, eyebrow information or eye shape information. The embodiment acquires video data by means of a web camera, which ensures the quality of the acquired image, realizes the pre-processing of the to-be-processed image and is useful to improve the accuracy of the subsequent face recognition.

Abstract: The present disclosure discloses a method and an apparatus for recognizing an image. A specific implementation of the method comprises: acquiring a to-be-recognized image containing a to-be-recognized object; sending the to-be-recognized image to a server, and receiving identification information of a target object corresponding to the to-be-recognized object returned by the server, obtained by recognizing the to-be-recognized image, and a confidence parameter returned by the server; and determining the identification information of the target object as a recognition result when the confidence parameter is greater than a confidence threshold; or acquiring labeled information associated with the to-be-recognized image from a third-party platform and determining the labeled information as the recognition result when the confidence parameter is smaller than the confidence threshold.