Obstacle trajectory prediction method and device, equipment and storage medium

The invention relates to an obstacle trajectory prediction method and device, equipment and a storage medium, and particularly relates to the technical field of intelligent driving. The method comprises the following steps: determining a target obstacle in a specified range of a target vehicle; determining interaction map sequence information and historical state information of the target obstacle; determining a cross splicing fusion feature sequence of the target obstacle according to the target obstacle interaction map sequence information and the historical state information; and according to the cross splicing fusion feature sequence of the target obstacle, processing through a recurrent neural network model, and determining a target trajectory of the target obstacle. According to the scheme, all the motion information of the target obstacle and the position and speed relation between the target obstacle and other obstacles are considered at the same time, the data are fused and then ...

Alarm method and device based on driver foot action recognition and electronic equipment

The invention discloses an alarm method and device based on driver foot action recognition and electronic equipment, and the method comprises the steps that a first image collected by an image collection device is obtained, and a brake pedal and an accelerator pedal of a vehicle are both in the view field of the image collection device; identifying foot actions of the driver based on the first image, wherein the foot actions comprise brake stepping, accelerator stepping and putting in a footrest area; map information corresponding to the current position of the vehicle is obtained, and foot operation which should be executed by the driver currently is judged based on the map information; and if the foot action identified based on the first image is not matched with the foot operation, sending out corresponding alarm information. According to the technical scheme provided by the invention, the operation which should be executed by the driver at the current position of the vehicle can be ...

Fingerprint texture image denoising enhancing method and system

The invention relates to a fingerprint texture image denoising enhancing method. According to the method, a non-local diffusion tensor diffusion-fluctuation partial differential equation model is provided. The method comprises the following steps that an image is preprocessed; the non-local structure tensor is calculated; the non-local diffusion tensor is calculated through the non-local structure tensor; iteration updating is carried out, and a result image is obtained. The texture characteristic can be enhanced while the noise is eliminated, a certain repairing function of the fracture texture is achieved, and the fingerprint recognition can be carried out more accurately in the later process.

Method and system for detecting vehicle violation of not giving way

A method for detecting a vehicle violation of not giving way comprises the steps of collecting video images, extracting features, detecting salient areas, classifying targets, tracking the targets and judging the violation. According to the method, a camera is used for identifying and tracking vehicles and pedestrians, the violation that a vehicle does not give way can be quickly, efficiently and accurately detected, pedestrian safety and vehicle running safety are fully guaranteed, traffic accidents are reduced, and the traffic is normalized; moreover, due to the fact that detection is conducted at the same coordinate system, the position relation between the vehicle and the pedestrians and the movement states of the vehicle and the pedestrians can be well applied to video analysis, false detection is effectively avoided, disputes caused by insufficient evidences are reduced, and labor cost and material cost are saved.

AEB system calibration method and device and electronic equipment

The invention discloses an AEB system calibration method, an AEB system calibration device and electronic equipment, which can efficiently and quickly realize AEB system calibration, and are high in scene coverage and strong in scheme adaptability. The method comprises the steps that a simulation test scene is constructed according to test requirement information, a test model is arranged in the simulation test scene, and the test model comprises a calibration vehicle model and an object model; loading a to-be-calibrated AEB system for the calibration vehicle model, wherein the to-be-calibrated AEB system comprises system calibration parameters; starting the calibration vehicle model and testing by taking the object model as a target obstacle, and controlling the calibration vehicle model based on the AEB system to be calibrated in the testing process; and after the test is finished, adjusting the system calibration parameters according to a test result. The device comprises a scene component ...

Electropolishing and/or electroplating apparatus and methods

Surveillance camera housing

The invention relates to a surveillance camera housing which comprises a shell body and a cover body, wherein a cavity capable of containing a camera is formed in the shell body, and the top and the front end of the cavity are opened; the front end of the cover body and the front end of the shell body are hinged with each other, and the opened top of the shell body can be selectively closed; the front end of the shell body is provided with a baffle with a UV (Ultra Violet), and the opened part of the front end of the cavity is closed. The surveillance camera housing is characterized in that a circular ring flange surrounding the UV is convexly arranged on the outer side of the baffle plate; an external thread is formed on the peripheral surface of the flange, and a circular-tube-shaped shading cylinder is installed on the peripheral surface of the flange in a threaded mode; a plurality of circumferential ripples are formed on the inner circumferential surface of the shading cylinder, and ...

Calibration method, device and system of multi-camera vehicle-mounted system and storage medium

The invention discloses a calibration method, device and system of a multi-camera vehicle-mounted system and a storage medium, and the calibration method comprises the steps: recognizing matched feature points in front and back frames of images collected by each camera, and determining the direction vector of each feature point in a camera coordinate system; constructing a target function according to a geometrical relationship between the direction vectors; optimizing the target function by taking the same rotation angle of each camera as a constraint condition so as to determine a rotation axis and a translation vector of each camera; and constructing a conversion equation between the camera coordinate system and the vehicle body coordinate system based on the rotation axis and the translation vector of the camera, solving the conversion equation, and determining the relative attitude between each camera and the vehicle body coordinate system. And the calibration precision is high.

Special vehicle recognition method and system

A special vehicle recognition method comprises the step of positioning a vehicle region in a video image, the step of extracting a local member, the step of obtaining 3d model information and the step of recognizing the types of vehicles. According to the special vehicle recognition method, the special vehicles can be effectively recognized.

System for detecting illegally operated taxis

A system for detecting illegally operated taxis comprises a video monitoring detecting unit, a data acquisition unit, a data transmission unit and an illegally operated taxi judging unit. The system for detecting illegally operated taxis is based on video monitoring and can quickly and accurately obtain evidences, and the illegally operated taxis are effectively detected so as to be effectively cracked down.

Labeling method, labeling device, equipment and readable storage medium

The invention discloses a labeling method, a labeling device, equipment and a readable storage medium, and the method comprises the steps: receiving a to-be-labeled first character string and a to-be-labeled second character string; performing first random out-of-order pair identification on the sub-character strings segmented according to the target sub-string length in the first character string and the sub-character strings segmented according to the target sub-string length in the second character string to obtain a corresponding identification result; executing a loop identification operation until the length of the target substring is greater than the length of the first character string or the second character string; and when the finally obtained recognition result represents that the sub-character strings in the first character string and the sub-character strings in the second character string are random out-of-order pairs, labeling the same semantic information for the first ...

Target color recognition method and system for video surveillance

The invention provides a target color recognition method for video surveillance. The method comprises the steps that a color recognition target area is extracted from a video image; colors of the target area are initialized; color category detection is carried out on all color components h, s and l of the target area; the proportion of each color of the color recognition target area is calculated, and the color with the largest proportion serves as the color of the color recognition target area. According to the method, the Markov random field model is adopted, influence on color recognition from environment changes and target posture changes can be reduced according to the neighborhood position relation of the color recognition target area, and therefore the color recognition rate can be increased, a color target can be effectively positioned in intelligent surveillance, and strong evidence can be provided for solving criminal cases like violation of laws and rules.

Lie detection method and system based on video

The invention discloses a lie detection method based on a video. The lie detection method includes the steps of detecting vision behavior characteristics of a detected object according to video images, detecting physiological parameter characteristics of the detected object according to the video images, and obtaining lying probability data by combining the vision behavior characteristics with the physiological parameter characteristics. According to the lie detection method, the vision behavior characteristics and the physiological parameter characteristics of a person are combined with the psychological principle, and the detection accuracy and the detection reliability are improved; in addition, the lie detection method has the advantage that the non-contact aim is achieved, and the defect that a traditional contact-type lie detection method is easily bewared is overcome.

Unlicensed vehicle violation detection method and detection system thereof

The invention discloses an unlicensed vehicle violation detection method and a detection system of unlicensed vehicle violation. The method comprises the following steps that first, video picture collecting: video pictures are collected real-timely through cameras in the lane direction; second, unlicensed vehicle detecting: a vehicle target is detected in the video pictures, the rectangular vehicle body region of the vehicle target is fixed a position, a vehicle license plate is detected in the rectangular vehicle body region, and if the vehicle license plate is not detected, the corresponding vehicle target is an unlicensed vehicle target; third, unlicensed vehicle tracking: the unlicensed vehicle target is tracked through a meanshift algorithm, and the moving track of the unlicensed vehicle target is obtained; fourth, violation detecting: the states of traffic lights are detected, the lane properties and the road configuration of the road where the unlicensed vehicle target is located ...

Vehicle pose and size estimation method and device and storage medium

The invention relates to the technical field of vehicle driving, and discloses a vehicle pose and size estimation method and device and a storage medium, and the method comprises the steps: obtaining an observation image; vehicle detection is carried out on the observation image, a two-dimensional vehicle detection frame of the target vehicle in the observation image is obtained, and the two-dimensional vehicle detection frame comprises a vehicle body detection frame and a local detection frame; a three-dimensional frame corresponding to the target vehicle is obtained, and vehicle body coordinates of all angular points of the three-dimensional frame in a vehicle body coordinate system corresponding to the target vehicle are obtained; determining target angular points and pixel coordinates of the target angular points in the observation image based on mapping between the angular points and the two-dimensional vehicle detection frame; and determining pose information and size information ...

Car logo identifying method and car logo identifying system

The invention provides a car logo identifying method. The car logo identifying method comprises an image preprocessing step, a car logo identifying region coarse positioning step and a car logo identifying step. The car logo identifying method has the advantages that the identification is accurate, the general category of a car logo, the general category and the sub-category of the car logo, or the general category, the sub-category and the age limit of the car logo can be identified according to the identification requirements, comprehensive identification is realized, the car logo of the front plate can be identified, and the car logo of the tail plate also can be identified.

Non-rigid target detection method and system thereof

A non-rigid target detection method comprises the following steps of performing like-object detection on an input image and finding out rectangular areas which are possibly provided with like-object targets in the input image; performing characteristic extraction on every obtained rectangular area through a pre-trained non-rigid target model and obtaining HSC characteristics and textural features of every rectangular area; forming into a characteristic pyramid; performing PCA projection on the characteristic pyramid and classifying modes on characteristic pyramid space at the low latitude; convolving every scale of the pyramid through every root and obtaining a root scoring chart of every layer of the pyramid; convolving every corresponding part layer of the root layer through part filters and obtaining a root score chart of all parts; performing distance transformation to reconstruct all part scores of every root, comparing and judging a threshold value of the same model and obtaining ...

Vehicle sentry method, device and equipment based on aerial view and storage medium

The invention relates to a vehicle sentry method, device and equipment based on an aerial view and a storage medium, and particularly relates to the technical field of computer vision. The method comprises the steps that a concerned object in a bird's-eye view corresponding to a vehicle is extracted, a bird's-eye view segmentation result is obtained, and the concerned object is a preset object influencing vehicle safety; performing ray simulation on the aerial view segmentation result to obtain a ray contact point, the ray contact point being a pixel point corresponding to the nearest concerned object contacted by the ray, or a pixel point corresponding to the boundary of the contacted aerial view segmentation result; performing aggregation processing on the ray contact points to obtain a plurality of groups of object points, each group of object points corresponding to a concerned object; if it is judged that at least one group of moving objects or lingering objects exist based on object ...