Abstract: The present disclosure relates to a distance measurement method, an intelligent control method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a detection bounding box of a target object in an image photographed by a current object; determining at least one distance measurement point according to the shape of the detection bounding box; and determining a distance between the target object and the current object based on the distance measurement point.

Abstract: The present disclosure relates to a collision control method and apparatus, an electronic device, and a storage medium. The method includes: detecting a target object in an image photographed by a traveling object; determining a forward collision hazard region of the traveling object; and executing collision control on the traveling object based on a relative relationship between the target object and the forward collision hazard region, where the collision control includes collision warning and/or driving control.

Abstract: The present disclosure relates to a method, a device, and a storage medium for vehicle intelligent driving control. The vehicle intelligent driving control method comprises: collecting, by means of a vehicle-mounted camera of a vehicle, a video stream of a road image of a scene where the vehicle is; detecting a target object in the road image to obtain a bounding box of the target object; determining, in the road image, a free space for the vehicle; adjusting the bounding box of the target object according to the free space; and carrying out intelligent driving control on the vehicle according to the adjusted bounding box. The bounding box of the target object can be used to identify the position and determine the actual position of the target object more precisely, such that intelligent driving control can be carried out on the vehicle more accurately.

Abstract: A face image retrieval method includes: obtaining to-be-retrieved face information corresponding to a to-be-retrieved image by a convolutional neural network, the convolutional neural network being configured with corresponding convolution calculation configuration information by a processor, the convolutional neural network including at least one convolutional layer, the convolution calculation configuration information including a data bit width value corresponding to each convolutional layer in the convolutional neural network, and the to-be-retrieved image including at least one face region; searching a database for matched preset face image information that matches the to-be-retrieved face information, the database storing at least one piece of preset face image information; and outputting the preset face image information that matches the to-be-retrieved face information.

Abstract: Embodiments of the present application provide an intelligent driving control method and apparatus, a vehicle, an electronic device, a medium, and product. The method includes: detecting a driving environment of a vehicle, to obtain a detection result of at least one type of target objects in the driving environment; determining whether the detection result meets a preset driving alert condition; in response to the detection result meeting the preset alert condition, determining whether a speed of the vehicle exceeds a speed threshold; and in response to the speed exceeding the speed threshold, triggering a driving alert according to the detection result.

Abstract: Embodiments of the present application provide an intelligent driving control method and apparatus, a vehicle, an electronic device, a medium, and product. The method includes: detecting a driving environment of a vehicle, to obtain a detection result of at least one type of target objects in the driving environment; determining whether the detection result meets a preset driving alert condition; in response to the detection result meeting the preset alert condition, determining whether a speed of the vehicle exceeds a speed threshold; and in response to the speed exceeding the speed threshold, triggering a driving alert according to the detection result.

Abstract: The examples of the present disclosure provide an image stitching method and device, an on-board image processing device, an electronic apparatus, and a storage medium. The image stitching method comprises: acquiring brightness compensation information of each of a plurality of input images to be stitched, the plurality of input images being correspondingly captured by a plurality of cameras arranged on different parts of an apparatus; performing brightness compensation on input images based on the brightness compensation information of each input image; and stitching the input images subjected to the brightness compensation to obtain a stitched image. The examples are capable of alleviating stitching trace in the stitched image that arises from light difference and exposure difference between the cameras, thereby enhancing the visual effect of the stitched image, conducive to effects of various applications that are based on the stitched image.

Abstract: Embodiments of the present disclosure provide an intelligent driving control method and device, and a storage medium, wherein the method comprises: detecting a traffic signal of a vehicle travelling environment to obtain a detection result of the traffic signal; acquiring a current travelling state of a vehicle and a vehicle default state corresponding to the detection result of the traffic signal; determining whether the current travelling state of the vehicle matches the vehicle default state; and in response to the current travelling state of the vehicle not matching the vehicle default state, outputting a driving alarm signal and/or a control signal for instructing the vehicle to switch from a current state to the vehicle default state.

Abstract: The present disclosure relates to a vehicle-mounted camera self-calibration method and apparatus, and a vehicle driving method and apparatus. The method comprises: starting self-calibration of a vehicle-mounted camera to enable a vehicle on which the vehicle-mounted camera is mounted to be in a traveling state; acquiring, by the vehicle-mounted camera in a traveling process of the vehicle, information required for self-calibration of the vehicle-mounted camera; and self-calibrating the vehicle-mounted camera based on the acquired information.

Abstract: The present disclosure relates to a distance measurement method, an intelligent control method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a detection bounding box of a target object in an image photographed by a current object; determining at least one distance measurement point according to the shape of the detection bounding box; and determining a distance between the target object and the current object based on the distance measurement point.

Abstract: The present disclosure relates to a collision control method and apparatus, an electronic device, and a storage medium. The method includes: detecting a target object in an image photographed by a current object; determining a danger level of the target object; and executing collision control corresponding to the danger level.

Abstract: The present disclosure relates to a collision control method and apparatus, an electronic device, and a storage medium. The method includes: detecting a target object in an image photographed by a traveling object; determining a forward collision hazard region of the traveling object; and executing collision control on the traveling object based on a relative relationship between the target object and the forward collision hazard region, where the collision control includes collision warning and/or driving control.

Abstract: Embodiments of the present application provide an intelligent driving control method and apparatus, a vehicle, an electronic device, a medium, and product. The method includes: detecting a driving environment of a vehicle, to obtain a detection result of at least one type of target objects in the driving environment; determining whether the detection result meets a preset driving alert condition; in response to the detection result meeting the preset alert condition, determining whether a speed of the vehicle exceeds a speed threshold; and in response to the speed exceeding the speed threshold, triggering a driving alert according to the detection result.

Abstract: A face image retrieval method includes: obtaining to-be-retrieved face information corresponding to a to-be-retrieved image by a convolutional neural network, the convolutional neural network being configured with corresponding convolution calculation configuration information by a processor, the convolutional neural network including at least one convolutional layer, the convolution calculation configuration information including a data bit width value corresponding to each convolutional layer in the convolutional neural network, and the to-be-retrieved image including at least one face region; searching a database for matched preset face image information that matches the to-be-retrieved face information, the database storing at least one piece of preset face image information; and outputting the preset face image information that matches the to-be-retrieved face information.