845 results about "Parking area" patented technology

The invention relates to an AI identification road traffic safety illegal behavior image evidence obtaining method and device based on an unmanned aircraft, equipment and a medium, and the method comprises the steps: calling a no-parking region identification model, so as to determine a no-parking region mask in a to-be-inspected region image, calling a potential violation vehicle detection model to identify potential violation vehicles in the no-parking area mask so as to determine bounding boxes of the potential violation vehicles and vehicle types corresponding to the bounding boxes; and calling a target tracking algorithm to perform target tracking on the potential violation vehicle, and determining the potential violation vehicle as a target violation vehicle when detecting that the intersection-to-union ratio between the bounding box and the no-parking area mask in the plurality of continuous image frames exceeds a preset threshold value and the potential violation vehicle is in a static state. And sending the violation evidence packet corresponding to the target violation vehicle to a traffic management system. According to the invention, the efficiency of the monitoring system is improved, and accurate and verifiable violation evidences are provided for the traffic management system.

The invention discloses a quadruped robot inspection method based on multi-modal sensing fusion. The method comprises the following steps of: 1, initializing a global task, loading a basic navigation map, and generating the basic navigation map comprising topographic features, forbidden areas and parking positions; 2, autonomous navigation and dynamic correction of positioning deviation are realized according to laser radar SLAM data, and the positioning deviation is dynamically corrected according to real-time observation data; 3, dynamically switching or adjusting the gait strategy according to the terrain category, training the gait strategy of the quadruped robot to be matched with the terrain category, and generating a self-adaptive motion control instruction to adapt to the terrain in real time; and step 4, synchronously realizing parking area structured data acquisition and dynamic abnormal information perception through multi-sensor fusion, and realizing target state monitoring and abnormal event response in the inspection task. According to the invention, through collaborative innovation of the bionic motion platform and multi-mode intelligent detection, all-terrain coverage, total-factor perception and full-process autonomous intelligent inspection in a complex parking lot environment is realized.

The invention discloses a road shoulder vehicle exclusion method based on an inspection system, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining a parking area image shot by an inspection vehicle, recognizing a vehicle target in the image, and extracting the license plate position information; based on vehicle three-dimensional feature reconstruction and space projection analysis, generating a space distribution thermodynamic diagram of the vehicle in the image coordinate system; constructing a dynamic segmentation line model, and adaptively generating a road shoulder region judgment boundary according to the parking space type and the road geometric parameters; and through a multi-target trajectory association algorithm, the berth vehicle and the road shoulder vehicle are distinguished, and the berth occupation state is output. According to the scheme provided by the invention, the spatial positioning precision and behavior judgment reliability in a complex scene can be remarkably improved, the limitations on environmental adaptability, vehicle type compatibility and time sequence continuity are broken through, and a road shoulder violation management and control solution with high robustness and full-time coverage is provided for urban traffic management.

The invention discloses an intelligent parking navigation system based on image recognition and the Internet of Things, and relates to the technical field of intelligent parking navigation, the system draws a three-dimensional electronic map of a parking lot, divides the parking lot into monitoring areas, deploys sensors and cameras to collect image data, and transmits the image data to a cloud through the Internet of Things. The intelligent regulation and control model module uses a convolutional neural network CNN to carry out parking space recommendation and path guidance. And the vehicle monitoring module monitors vehicles entering the parking lot in real time, calculates a geometric environment adaptation coefficient and evaluates a traffic risk. And the vehicle guiding analysis module calculates the traffic flow and the parking space idle index, and recommends a proper parking area for the vehicle. The parking space recommendation analysis module evaluates the comfort level of the parking space, ensures the safety of backing and parking, and avoids the risk of traffic jam or traffic accident through strategy adjustment. The system improves the parking efficiency and safety, and optimizes the parking experience.

A method for calculating an optimum route for a first vehicle to travel from a current location to a selected parking space includes receiving map data of a parking zone, the map data including local map data and global map data of the parking zone, sensor data, parking space data indicating availability of parking spaces within the parking zone, and vehicle dynamics and location data, selecting, as the selected parking space, at least one available parking space based on the parking space data, determining a plurality of target positions between the current location and the selected parking space, calculating, in response to the selecting of the selected parking space and based on the plurality of target positions, the optimum route, including calculating trajectories of the first vehicle along an entire route between the current location and the selected parking space, and controlling the first vehicle to travel from the current location to the selected parking space.

The invention discloses an electric bicycle parking detection method, electronic equipment and a storage medium. The method comprises the steps of obtaining a current left eye image and a current right eye image of a target electric bicycle based on a binocular camera; determining a current 3D target detection frame of the target electric bicycle according to the current left eye image and the current right eye image; determining whether the target electric bicycle is parked in a preset parking area according to the current 3D target detection frame; when it is determined that the target electric bicycle is parked in the preset parking area, whether the parking orientation of the target electric bicycle meets the specification or not is determined; and when it is determined that the parking orientation conforms to the specification, a target electric bicycle parking specification is determined. According to the method, whether the parking of the electric bicycle is standard or not is detected according to the obtained left eye image and the right eye image of the electric bicycle, and the detection efficiency and the detection accuracy of detecting whether the parking of the electric bicycle is standard or not are improved.

A processor-implemented method including selecting a first reference landmark from among a first plurality of candidate landmarks related to a parking area of a vehicle in a first frame image corresponding to a first timepoint, determining positioning information of the vehicle by using geometric relationship information of the selected first reference landmark with respect to the vehicle, selecting a second reference landmark from among a second plurality of candidate landmarks in a second frame image corresponding to a second timepoint, the second timepoint being temporally subsequent to the first timepoint, and updating the positioning information using the geometric relationship information of the selected second reference landmark with respect to the vehicle.

The invention relates to the technical field of image recognition, in particular to a parking vehicle license plate recognition method applying an unmanned aerial vehicle dynamic monitoring technology, and the method comprises the steps: collecting a license plate image of a vehicle in a charging parking area through an unmanned aerial vehicle integrated with a camera, and screening out the license plate image with dynamic blurring for preprocessing; feature analysis of the blurring direction and the blurring degree is carried out on the preprocessed image so as to optimize the deblurring processing effect of the image; marking a license plate area on the deblurred image to construct a data set and carrying out model training; the model is used for positioning a license plate area in the license plate image. The precision of image deblurring processing can be effectively improved, so that the accuracy of license plate information recognition in the license plate image is improved.

The invention discloses an automatic parking method and device and a computer program product, and the method comprises the steps: screening ground point cloud from collected three-dimensional point cloud data of the surrounding environment of a vehicle; performing clustering processing on the ground point cloud to generate a plurality of point clusters; extracting a space boundary parameter of each point cluster, and calculating the length and width of a rectangular region corresponding to each point cluster; based on the size of the vehicle, the rectangular areas with the length and the width larger than the corresponding size of the vehicle are screened out to serve as candidate berthable areas; and parking path planning and automatic parking operation are executed based on a target available area selected by a user from the candidate available areas. Aiming at the inherent defect that a traditional automatic parking system depends on structured parking space characteristics, a three-dimensional terrain flatness quantitative evaluation mechanism is innovatively introduced, and the technical problems of parking area detection and vehicle mechanical protection in an unstructured scene are effectively solved.

The invention relates to the technical field of intelligent parking lots, and discloses a distributed energy collaborative management device of an intelligent linkage shed, which comprises an intelligent charging parking area for parking new energy vehicles, and two signal transmission assemblies for receiving and transmitting signals are arranged on one side of the upper end of the intelligent charging parking area. A plurality of protection units used for protecting vehicles are arranged at the upper end of the intelligent charging parking area, each protection unit comprises a photovoltaic power generation assembly used for photovoltaic power generation and a sweeping assembly used for sweeping the surface of the photovoltaic power generation assembly, and the photovoltaic power generation assemblies facilitate smooth flowing of dirty water when photovoltaic power generation panels are cleaned by accurately adjusting the angles, so that the cleaning efficiency is improved. The water storage assembly and the water sprinkling mechanism provide continuous water source supply, so that the photovoltaic panel can be automatically cleaned, surface dirt is removed, the power generation efficiency of the photovoltaic panel is kept, the high efficiency of the cleaning process is guaranteed through coordinated work of the linear displacement mechanism and the sweeping assembly, and the workload of maintenance personnel is reduced.

The invention discloses a point cloud recognition training data enhancement method for a semi-closed scene. The method comprises the steps of extracting vehicle point cloud samples from labeled original point cloud data and constructing a point cloud sample library; constructing a point cloud base map, and performing functional region division; the main driving direction of each driving area is determined, and according to the spatial position relation between the driving area and the adjacent parking area, the vehicle head orientation distribution in each driving area is determined; determining the number of vehicle samples to be generated, and randomly selecting a corresponding number of vehicle point cloud samples from the point cloud sample library; and placing the selected vehicle point cloud sample at a layout position for random sampling in a driving area, and performing rigid body transformation of corresponding vehicle head orientation distribution on the placed vehicle point cloud sample. The method has the advantages that explicit space division is carried out on the driving area and the parking area, sample supplement is carried out on the driving area where the vehicles appear at low frequency in a targeted mode, and the problem of lack of training data in the space coverage level is effectively solved.

The invention discloses a parking lot parking recommendation method comprising the steps that all parking record information of a user in a preset historical time period is acquired, and each piece of parking record information comprises position information of a parking lot and a parking time period type corresponding to parking time; when a user triggers a parking demand signal, traversing the parking record information for matching according to the parking time period type to which the triggering time belongs to obtain a plurality of key parking lots; determining a maximum circumcircle of an area formed by connecting all the key parking lots as a core parking area, and determining all the parking lots with idle parking spaces as target parking lots; determining a parking recommendation value of the target parking lot according to the vehicle flow rate, the number of idle parking spaces, the charging unit price and the distance value of the target parking lot; and selecting a preset number of target parking lots with high parking recommendation values to form a recommended parking lot list, and pushing the recommended parking lot list to the user side. Therefore, the parking lot can be individually recommended according to the parking time period type of the user, and the parking efficiency is improved.

The invention discloses an intersection water area multi-ship-lock combined dispatching analogue simulation method and device and electronic equipment, and relates to the field of ship lock emulation.The method comprises the steps that a canal intersection water area multi-ship-lock system simulation model is built, and the model at least comprises a plurality of ship locks dispatched in a combined mode, configuring a ship traffic flow operation strategy of the multi-ship-lock system simulation model of the canal intersection water area, operating the multi-ship-lock system simulation model of the canal intersection water area, and counting ship operation data indexes, gate entering and exiting waiting time indexes, ship lock traffic flow indexes and navigation encounter frequency indexes of ships at the intersection to obtain a model simulation operation result; based on the model simulation operation result, the ship lock chamber plane scale, the ship lock scheduling rule, the intersection water area navigation rule and the parking area capacity are adjusted. The technical problem that a ship lock operation and water area navigation simulation model in the prior art focuses on performance evaluation of a single facility and cannot reflect a multi-ship lock operation mode of an intersection water area is solved.

The invention discloses a narrow parking space parking optimization method based on intelligent driving parking area formalized design, and relates to the technical field of automatic driving, and the method comprises the following steps: building a parking area grid map through multi-sensor fusion, detecting a narrow parking space, and generating an environment model; if the data is lost, the parking space detection fails or the type judgment is wrong, the step is executed again; dividing a parking area into three functional areas including a preparation area, an operation area and an adjustment area, defining multi-step parking stages including coarse adjustment, fine adjustment and fine adjustment, respectively matching the stages with corresponding neighborhoods, and returning to the step if no feasible path exists in subsequent path search for more than or equal to 3 times due to unreasonable area division; according to the method, a multi-stage parking framework is constructed through regional division and conquering on the basis of an intelligent driving parking domain formalized design concept, and narrow parking space path smooth planning, efficient search and dynamic obstacle avoidance are realized in combination with an improved mixed A * algorithm and a dynamic optimization strategy, so that the adaptability and reliability of automatic parking in a complex narrow environment are improved.

The utility model provides a concentrate transport vehicle washing wastewater treatment system which comprises an automatic vehicle washing device, a sedimentation tank, a filter press, a clean water tank and a water return pump, the automatic vehicle washing device comprises a trench, a grating plate is arranged at the top of the trench, a parking area is arranged on the grating plate, a sensor is arranged in the parking area, and the sensor is used for detecting whether a vehicle exists in the parking area or not. A plurality of groups of spraying devices are arranged in the parking area, one part of the spraying devices are aligned to the two sides of the wheels, the other part of the spraying devices are aligned to the carriage, each spraying device is provided with a control valve, the control valves and the sensors are connected to the controller, a slag flushing pipe is arranged in the trench, the trench is communicated with the settling pond through a pipeline, and an outlet of the settling pond is connected with the filter press. A filtered water outlet of the filter press is connected to the clean water tank, the input end of the water return pump is communicated with the clean water tank, and the output end is connected to the spraying device and the slag flushing pipe; the car washing efficiency is improved, and the waste water recycling rate is increased.

The invention discloses a shielded vehicle identification method based on point cloud dynamic simulation, and the method comprises the following steps: constructing a three-dimensional point cloud model of a service area, carrying out the field classification, and obtaining a boundary coordinate set of each classification area; if the radar recognizes that the target vehicle is located in the driving area and the target vehicle is a medium-sized or large-sized vehicle, calculating a shielding space; if the obtained sheltered space comprises a parking area and the sheltered space cannot be effectively covered by other radars, marking the sheltered space as a sheltered area; and extracting labels of all vehicles in the shielding area from the radar identification data of the historical frame, and projecting the labels to the shielding area of the current frame as position estimation of the shielded vehicle. The beneficial effects of the invention are that the method can intelligently judge the shielding based on the historical frame information, the vehicle spatial position and the radar field of view through the construction of a shielding detection and pseudo label interpolation mechanism, complements the pseudo label for the shielded region under necessary conditions, and effectively alleviates the recognition interruption problem.

The invention discloses an AGV-based automatic loading and unloading method and system, and relates to the technical field of industrial vehicle automatic driving, and the unloading process comprises the steps that after a loading and unloading vehicle arrives at a parking area, an AGV forklift drives to a designated path according to a station path issued by an AGV scheduling system, and an unloading task issued by the AGV scheduling system is obtained; the AGV forklift collects an image of an area where a to-be-forked carrier is located according to a depth camera, calculates carrier pose information, generates a dynamic path in combination with position coordinates of the AGV forklift, and carries out tail end unloading operation according to the dynamic path until unloading is completed; the loading process comprises the steps that after a loading and unloading vehicle arrives at a goods taking and placing channel area, a radar pan-tilt scans the position and posture of a compartment of the loading and unloading vehicle and dynamically calculates the positions and poses of multiple storage positions in the compartment, serial numbers and the positions of corresponding storage position front points; after the AGV forklift travels to a specified storage location preposition point according to a loading task issued by the AGV dispatching system and the current loading storage location position issued by the radar holder, the AGV forklift executes a precise loading task at the loading preposition point through the tail end recognition system, and tail end loading operation is conducted according to a dynamic path of the AGV forklift until loading of all storage locations is completed; according to the automatic loading and unloading method and system, the operation efficiency and the automation level of a logistics system are remarkably improved, and reliable flexible logistics guarantee is provided for intelligent manufacturing.

In various examples, parking area detection for autonomous and / or semi-autonomous systems and applications is described herein. Systems and methods described herein may use a hybrid method to more accurately determine geometries of the parking areas within environments. For instance, sensor data (e.g., image data, etc.) may be processed using one or more edge detection techniques to determine edge features (e.g., two-dimensional pixels, three-dimensional points, etc.) associated with an environment that includes a parking area. A predicted geometry associated with the parking area, as determined using one or more machine learning models, may then be used to filter the edge features in order to identify a portion of the edge features that represent the parking area. One or more optimization techniques may then be used to determine the final geometry associated with the parking area based at least on the filtered edge features.

A parking assistance device for assisting automatic parking of a vehicle includes a determination unit, an obstacle acquisition unit, a prediction unit, and a notification unit. The determination unit determines a parking area for the automatic parking. The obstacle acquisition unit acquires an obstacle around the determined parking area before the automatic parking. The prediction unit predicts an openable amount, by which a door of the vehicle is openable, based on a detection result of the obstacle acquisition unit when the vehicle is to be automatically parked in the determined parking area. The notification unit notifies the openable amount predicted by the prediction unit.

The invention relates to the field of computer vision, in particular to an intelligent parking system based on a computer vision algorithm, which is provided with a data acquisition module, a resource integration module, an anomaly analysis module, a parking matching module and a parking guide module, determines a vehicle running value and an actual parking effective value, calculates a parking permission characterization value, and displays the parking permission characterization value. Determining whether a parking position for a target vehicle exists in the parking area; determining a target parking area; dividing the target parking area into a plurality of sub-areas; analyzing data information corresponding to the target parking area; and parking guidance is carried out according to the judgment result of the preset condition, and intelligent parking is completed. According to the invention, parking guidance is carried out by determining the target parking area, analyzing the corresponding abnormal data and comparing with the parking related area of the target vehicle, so that the smoothness of the parking path and the parking efficiency are improved.

The invention provides a parking control method of an automatic driving articulated vehicle and the automatic driving vehicle, and the method comprises the steps: constructing a grid map of a to-be-parked area, constructing a heuristic map based on the grid map, the heuristic map being a map data structure for providing path search guide information for each grid unit in the grid map, and the grid units being provided with path search guide information for the to-be-parked area in the to-be-parked area in the to-be-parked area in the to-be-parked area. Comprising a heuristic flow field structure used for calculating a parking end point, a heuristic distance field structure used for calculating obstacle avoidance and a gradient field structure used for calculating an obstacle avoidance direction. And performing parking path search based on the heuristic map and a vehicle model of the articulated vehicle to control the articulated vehicle to perform automatic parking according to the parking path. According to the method and the device, the technical problem that the real-time requirement of an actual parking task is difficult to meet due to low path searching efficiency during parking of an automatic driving articulated vehicle in the related technology is solved, and the technical effect of efficient parking is further achieved.

A method performed by a computing device configured to detect a lane direction in a parking zone being navigated by a vehicle includes capturing, using an image capture device, at least one image of an environment surrounding the vehicle that includes an arrow marking on a ground surface of the parking zone, generating a top-down image, including the arrow marking, of the environment surrounding the vehicle based on the captured at least one image, performing an image analysis of the top-down image to determine an arrow direction of the arrow marking, detecting, based on results of the image analysis, the lane direction of a lane occupied by the vehicle based on the determined arrow direction, generating and providing an output indicating the lane direction of the lane occupied by the vehicle.

A system for monitoring handicapped parking areas including a stanchion disposed adjacent a monitored parking area and a monitoring assembly mounted on the stanchion and disposed in communicating relation with the monitored parking area. The monitoring assembly includes a control unit, which in turn includes a presence detector, a reader and a processor. The presence detector is operative to detect occupancy of a vehicle in the monitored parking area and the reader is configured to determine authorized usage of the vehicle, via a reading of identification data associated with vehicle within the monitored parking area. An indicator assembly is communicatively connected to the reader, via the processor, and is operative to indicate valid and invalid vehicle occupancy of the monitored parking area, based on the processing of the identification data by the processor.

This invention relates to a barrier system (1) used to prevent unauthorized individuals from parking in open or closed parking areas, comprising at least one lower body (2) for placement on a vehicle parking space, at least one barrier (3) rotatably connected to the lower body (2), and a support bracket (4) rotatably connected to the barrier (3) and adapted to contact the ground or lower body (2) with the rotational movement of the barrier (3) to limit the rotational movement of the barrier (3).

The invention provides a parking path planning method and device of a semitrailer and terminal equipment. The method comprises the steps that the initial vehicle state, the target parking position and the parking area of the semitrailer are obtained; converting the semitrailer system model corresponding to the semitrailer into an equivalent single vehicle model; wherein the trailer rear axle center of the semitrailer is determined as the rear axle center of the single-vehicle model, the center distance between the hinged point of the tractor of the semitrailer and the trailer and the rear axle center of the trailer is determined as the single-vehicle axle distance in the single-vehicle model, and the tractor is determined as the single-vehicle wheel of the single-vehicle model; determining a model node path of the single vehicle model in the parking area based on a mixed A * algorithm by using the initial vehicle state and the target parking position; and determining the parking path of the tractor according to the model node path, the corresponding relationship between the semitrailer system model and the single vehicle model and the kinematics relationship between the tractor and the trailer. According to the method, the parking safety and efficiency of the semitrailer can be improved.

The embodiment of the invention relates to the technical field of parking management, in particular to a parking space management method, a parking space management system, control equipment and a storage medium. The parking space management method comprises the steps of receiving sensing data; identifying a vehicle action type in the sensing data; when it is determined that the vehicle action type is the approaching action or the leaving action, a parking space detection signal is sent; receiving parking space detection data; judging whether an unoccupied parking space exists or not according to the parking space detection data; if the unoccupied parking space exists in the parking space detection data, a state identification signal is sent according to the parking space detection data, and the state identification signal is used for indicating and identifying the unoccupied parking space in the preset parking area. According to the embodiment of the invention, a traditional real-time monitoring method is optimized, parking space detection is carried out only when necessary, occupation of system resources is remarkably reduced, and the system operation efficiency is improved.

A method of parking a vehicle occupied by a disabled person includes: generating sensing data by sensing surroundings of the vehicle and searching for empty spaces using the sensing data; categorizing each of the empty spaces into a no-parking space, a first parking space for a disabled person with a wheelchair activity space, a second parking space for the disabled person without a wheelchair activity space, and a general parking space; selecting one of the first parking space for the disabled person, the second parking space for the disabled person, or the general parking space as a target parking space; determining a parking type and a parking trajectory based on a boarding position of the disabled person and the target parking space; and moving the vehicle to the target parking space based on the parking type and the parking trajectory. The parking type is front parking or rear parking.

The invention provides a substation intelligent operation and maintenance method and cockpit system based on Gaussian model and Internet of Things data fusion, and the method comprises the steps: carrying out Gaussian point cloud modeling based on substation information, and obtaining an initial three-dimensional Gaussian point cloud model, associating the equipment attribute information with the initial three-dimensional Gaussian point cloud model based on equipment monomer identification to obtain a target three-dimensional Gaussian point cloud model; based on the parking area and the vehicle parameters of the transformer substation, simulating initial operation and maintenance parameters of the operation vehicle in the transformer substation, and based on the target three-dimensional Gaussian point cloud model and the initial operation and maintenance parameters, carrying out operation risk detection to obtain a risk detection result; optimizing the initial operation and maintenance parameters based on the risk detection result to obtain optimized operation and maintenance parameters, and generating an electronic operation and maintenance fence based on the optimized operation and maintenance parameters; and loading the optimized operation and maintenance parameters and the electronic operation and maintenance fence to the target three-dimensional Gaussian point cloud model for operation and maintenance safety early warning. The safety and efficiency of the maintenance operation of the transformer substation are improved.

The invention belongs to the technical field of battery swap stations, and discloses a battery swap station system. The battery replacing station system comprises a battery bin and a battery replacing robot, the battery bin and the parking area are distributed in the first horizontal direction, at least two rows of containing positions used for containing batteries are arranged in the battery bin in the first horizontal direction, and each row of containing positions are distributed in the second horizontal direction perpendicular to the first horizontal direction. At least one placing position in the battery compartment is in a vacant state; and the battery replacing robot is located in the battery bin, and the battery replacing robot is configured to hoist the battery in the parking area to any placing position and hoist the battery stored in any placing position to the parking area. According to the battery swap station system, the layout of the placement positions in the battery compartment is adjusted firstly, the battery swap robot is arranged in the battery compartment, and the battery swap station system has the advantages that the battery swap efficiency is improved, the occupied area is reduced, the production cost is reduced, and the battery swap reliability is improved.

The invention provides a control method of a new energy vehicle charging and parking area automatic fire extinguishing system, the method is applied to a new energy vehicle parking space automatic fire extinguishing system, and the new energy vehicle parking space automatic fire extinguishing system is provided with a vehicle bottom fire detector and a fire extinguishing module at each parking space; the control method comprises the following steps: acquiring a detection signal acquired by a vehicle bottom fire detector of each parking space in real time; when it is judged that the detection signal is a fire detection signal, determining a parking space where a current fire is located, an alarm grade and a fire extinguishing strategy according to the fire detection signal; according to the alarm grade and the fire extinguishing strategy, linkage alarm is carried out, and the fire detection signal is converted into a corresponding fire extinguishing control signal; and according to the fire extinguishing control signal, controlling the fire extinguishing module of the parking space where the current fire is located to perform automatic zoning fire extinguishing. Precise fire monitoring and zoning fire extinguishing of the new energy vehicle parking space are achieved, the fire extinguishing efficiency and effect are improved, and the property safety of a vehicle owner and public equipment is ensured.