1555 results about "Parking lot" patented technology

The invention discloses an urban traffic intelligent regulation and control system and method based on digital twinning. The method comprises the following steps: S1, collecting and fusing multi-source data in real time; s2, constructing a digital twinborn model; s3, traffic flow prediction and optimization; s4, multi-system cooperative control is carried out; the system comprises the following modules: a multi-source data real-time acquisition and fusion module which comprises a video data acquisition and processing unit, a geomagnetic sensor network construction unit and a floating car data integration unit; the digital twinborn model building module comprises a three-dimensional road network model building unit and a data fusion and calibration unit; the traffic flow prediction and optimization module comprises an intelligent prediction model unit and a real-time optimization control unit; and the multi-system cooperative control module comprises an emergency priority passing system unit, a reversible lane dynamic adjustment unit and a parking lot induction unit. The traffic efficiency can be remarkably improved, the cooperative response speed is greatly increased, and carbon emission is effectively reduced.

The invention relates to the technical field of warehouse-in and warehouse-out management, in particular to a second-hand car warehouse-in and warehouse-out management system and method. The system comprises a vehicle RFID tag module, an intelligent electronic price tag module, a warehouse-in management module, a warehouse-out management module, an inventory monitoring and alarming module, a multi-point RFID positioning network module and an inventory map visualization module, and a unique encrypted RFID tag can be configured for each second-hand vehicle; binding an intelligent electronic price tag for each second-hand vehicle, and receiving verification to generate a verification result; collecting label information when the vehicle enters the parking lot; the label information is verified when the vehicle leaves; receiving the verification result of the intelligent electronic price tag and the vehicle in-library data of the database to lock the position of the abnormal vehicle; dense RFID reader nodes are arranged in the market to collect and output positioning data; and receiving the positioning data and the vehicle state information, generating a real-time inventory distribution map, and providing a scheduling and site planning decision basis for a manager. The scheduling and planning efficiency of managers can be improved.

The invention relates to the technical field of charging parking space guiding control, and particularly discloses a parking space charging reservation and intelligent guiding method, device, equipment and medium, and the method comprises the steps: obtaining vehicle battery state data and a user reservation time window through an Internet of Things terminal; synchronously acquiring charging pile state data, real-time traffic flow data and power grid load information in the parking lot; fusing the obtained multi-source heterogeneous data based on a federated learning framework, constructing a dynamic charging demand prediction model, and predicting charging pile occupancy rate distribution in a preset time period by using a space-time diagram convolutional network; through the combination of the dynamic charging demand prediction model and the space-time diagram convolutional network, the occupancy rate distribution of the charging piles is accurately predicted, the scheduling strategy of the charging piles is adjusted in real time, the problem of unreasonable resource allocation is avoided, and the waiting time of a user is shortened; the application of the quantum genetic algorithm optimizes the matching process of the charging pile through global optimal solution search, thereby ensuring the balance of the power grid load and the rationality of the charging strategy.

The invention discloses an intelligent parking method and device based on multi-source data fusion and a medium, and relates to the technical field of big data technologies. The method comprises the following steps: collecting multi-source parking data, and analyzing the multi-source parking data to generate a parking lot label library; generating a user tag based on historical search records and residence time preferences of the user, and constructing a user information database; when it is detected that a user triggers a parking request, performing multi-dimensional matching calculation on a user tag and a parking lot tag library to obtain a recommended parking space sequence; and optimizing the recommended parking space sequence based on the real-time traffic state and the user credit score to generate a final navigation path. According to the method, a dynamic parking recommendation mechanism is constructed by collecting and analyzing the multi-source parking data and the user preference data.

The invention provides a semantic aerial view visual relocation method and device in a non-exposed scene, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a multi-view image sequence under a non-exposed scene (such as a tunnel, an underground pipe gallery or an underground parking lot); semantic recognition is carried out based on a pre-trained semantic target detection model, and spatial consistency semantic features are extracted through a semantic-geometric dual-channel fusion mechanism combining a semantic mask and geometric constraints; the method comprises the following steps of: realizing three-dimensional reconstruction by using a voxel micro-renderable modeling method (VGGT), and generating a dense three-dimensional semantic point cloud fusing semantics and a geometric structure; two-dimensional semantics are mapped to a three-dimensional space through a projection and back projection relation, and point cloud semantics are endowed; main structure planes such as the ground, the left wall surface and the right wall surface are extracted, and a two-dimensional semantic aerial view with semantic annotation is generated; and pose estimation is carried out based on a reciprocal matching strategy guided by a semantic mask, so that visual repositioning with high precision, high robustness and semantic interpretability is realized. The method breaks through the problems of low precision, sparse features and poor semantic consistency of traditional visual repositioning in a non-exposed environment, and can be widely applied to the fields of intelligent transportation, underground inspection and unmanned system positioning.

The invention discloses a real-time reservation and scheduling system for shared parking, and relates to the technical field of intelligent traffic and smart city management, and the system comprises a demand analysis module which is used for extracting parking lot scene types, time requirements and priority information from user parking request data, generating standardized demand description through dynamic weight distribution, and sending the standardized demand description to a user; the process decomposition module is used for decomposing a parking scheduling process into demand receiving, resource matching and path planning business units according to parking lot scene types and time requirements in the user demand analysis result, and determining a business unit set; according to the real-time reservation and scheduling system for shared parking, through dynamic weight distribution and real-time response optimization, efficient resource distribution and path planning are ensured, and the parking scheduling efficiency and the user experience are remarkably improved.

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 method for dynamically monitoring and automatically processing abnormity of an entrance and an exit of a parking lot, relates to the technical field of intelligent parking lot management, and aims to solve the problems that existing unattended parking lot entrance and exit management depends on manpower, abnormity processing is passive, and the misjudgment rate is high. The method is based on an information acquisition and execution layer-edge processing layer-cloud platform three-layer architecture, the core realizes high-precision scene understanding through a multi-algorithm fused visual perception module, multi-modal data weighted fusion is combined with a ground induction coil, a radar and the like, and the misjudgment rate is reduced; a sensing result is converted into an automatic processing action through a configurable intelligent rule engine; and meanwhile, the cloud platform stores passing data and an evidence chain, optimizes an AI model through incremental training and returns the AI model to an edge layer, so that closed-loop evolution is realized.

The invention provides a parking lot license plate detection method and system based on exclusive learning, and belongs to the technical field of computer vision and edge computing. The method comprises the following steps: deploying a lightweight detection main model at each entrance and exit edge device to carry out real-time detection and screen low-confidence difficult case samples; after the sample is uploaded, the central processing end generates a high-quality pseudo label by using a high-performance teacher model, and trains an exclusive student model by using a mixed loss function fusing detection loss, distillation loss and difficult case concentration loss; and finally, calculating a weight difference value and quantizing to generate a lightweight incremental update package, and directionally pushing the lightweight incremental update package to edge equipment to complete non-perception hot update. The system correspondingly comprises an edge processing unit and a central processing unit. According to the method, the problem that a general model cannot adapt to a multi-gateway differentiated scene is solved, unification of personalized accurate optimization and efficient lightweight updating of the model is realized, and the accuracy and reliability of license plate detection in a complex scene are remarkably improved.

The invention relates to the technical field of parking lot digital management, and discloses a digital twin enabling parking lot digital global management system. According to the system, a global digital twin model of a parking lot is generated, and multi-source sensing data such as parking space states, vehicle identities and environmental parameters are fused; generating a parking space distribution matrix with priorities and time windows in combination with the parking request of the user and the real-time parking space state; according to the parking space two-dimensional code hardware parameters, the digital twin model and the parking space distribution matrix, outputting a vehicle guiding path set with a timestamp; a real-time obstacle avoidance and dynamic adjustment system is constructed to generate a safe driving path set so as to dispatch vehicles; outputting a power distribution control instruction set and updating the digital twinborn model by combining the electric quantity of the energy storage unit, the power distribution network data and the safe driving path set; and finally, system knowledge evolution and end-to-end closed-loop optimization are realized through scheduling execution logs. According to the system, global efficient management of the parking lot is realized, and the parking space utilization, vehicle scheduling and energy utilization levels are improved.

The invention relates to the technical field of parking resource scheduling, in particular to an intelligent parking resource scheduling system based on multi-source data analysis, which realizes full-scale digital mapping from vehicle individual behaviors and parking lot flow fields to a regional traffic network by constructing microscopic-mesoscopic-macroscopic three-level parking twin bodies and fusing dynamic and static multi-source data. Through scale conversion and data interaction among the three-level model, dynamic characteristics of parking resources in space and time dimensions are accurately captured, a high-fidelity and fine-grained digital twinborn base is provided for scheduling decision making, splitting of local optimization and global collaboration in traditional scheduling is broken through, the accuracy and foresight of resource allocation are supported, and the scheduling efficiency is improved. Based on dynamic construction of an algorithm strategy library and twinborn simulation evaluation, the scheme takes a multi-dimensional scheduling value as a core to realize closed-loop optimization of algorithm combination-effect rehearsal-strategy optimization-dynamic adjustment.

The invention discloses a parking lot virtual green wave guiding method and related equipment. The core is to construct a space-time resource map, plan a path according to the space-time resource map, reserve a time window to form a virtual green wave band, issue an instruction to a vehicle terminal and an intelligent barrier gate, monitor vehicle position deviation, and trigger local re-planning if a threshold value is exceeded. According to the scheme, the defects in the prior art are accurately overcome, global space-time resource overall planning is achieved through a space-time resource map, an exclusive time window is reserved for vehicles, multi-vehicle path conflicts are eliminated from the source, and the defects of lack of global view and active scheduling are overcome; static road network navigation is replaced by a space and time coordinated virtual green wave band, vehicles are actively guided to pass orderly, microscopic traffic congestion is effectively solved, and the in-field passing efficiency is greatly improved; through a real-time monitoring and local re-planning mechanism, emergency situations such as vehicle faults can be rapidly handled, congestion diffusion is avoided, traffic flow stability is guaranteed, and finally seamless and non-stop passing of the vehicle from an entrance to a parking space is achieved.

The invention provides an intelligent parking guidance system based on voice interaction and intelligent matching. The intelligent parking guidance system comprises a voice interaction recognition module, an intelligent video module, a path planning module and a parking space scheduling and management module. Wherein the voice interaction recognition module is deployed in an entrance area of a parking lot, interacts with a driver and recognizes a parking position demand; the intelligent video module is arranged at a key node in a parking lot, identifies a vehicle, constructs a vehicle movement track, and analyzes and obtains the overall traffic flow information of the parking lot. The path planning module receives information provided by the voice interaction recognition module and the intelligent video module, carries out path planning, and issues the path planning to the parking space scheduling and management module. And the parking space scheduling and management module is distributed in the parking lot and guides nearby vehicles according to the received route plan.

The invention relates to the technical field of smart parking lots, and provides a data processing method based on artificial intelligence and a smart parking lot, comprising the following steps: collecting multi-source heterogeneous data in real time through a plurality of Internet of Things sensing devices deployed in the parking lot, and cleaning, formatting and spatio-temporal alignment of the data to form a unified data lake; performing deep analysis and model training by using an artificial intelligence algorithm, and constructing an intelligent decision model library; an analysis result is converted into a specific application service and a control instruction, and intelligent management and service of data driving are achieved; the method comprises the following steps: inputting actual effect data of an application service as feedback into an intelligent decision-making model library, and regularly carrying out retraining and parameter adjustment and optimization on each AI model by utilizing an online learning or incremental learning technology, so that the prediction precision and decision-making capability of the model are continuously improved along with data accumulation; and a closed-loop system of data-analysis-application-feedback-optimization is formed.

The invention provides a parking lot intelligent path optimization system and method based on a GA-SMA algorithm, and belongs to the technical field of intelligent traffic management. The system comprises an intersection point conflict detection module, a GA-SMA path optimization module, an intelligent speed scheduling module, a conflict resolution module and a visualization module. The system analyzes vehicle track data, adopts a unified detection framework based on intersection point time overlapping and coming vehicle direction analysis, automatically identifies two conflict types of road section occupation conflict and confluence conflict, and calculates the conflict severity. According to the method, a self-adaptive stage scheduling mechanism and path awareness genetic manipulation are creatively combined, the GA-SMA algorithm is provided, advantage complementation of GA exploration capability and SMA convergence capability is realized, a search strategy can be dynamically adjusted according to an evolution process, and a high-quality multi-vehicle cooperative path is generated. The system adopts an intelligent speed scheduling strategy to implement preventive deceleration at an intersection point in front of a conflict point so as to avoid parking waiting.

The invention provides solid-waste-based cementing material coal gangue vegetation concrete and a preparation method thereof. The solid-waste-based cementing material coal gangue vegetation concrete is prepared from the following raw materials: coal gangue aggregate, a solid-waste-based cementing material, tap water, water glass, KNO3 and polyvinyl alcohol building rubber powder. The coal gangue aggregate is used as a structural framework, the coal gangue powder, the mineral powder and the fly ash are used as cementing materials, and the low-alkali equivalent water glass is used as an alkali component, so that the strength requirement is met, and the pH is reduced. A proper amount of KNO3 and polyvinyl alcohol building rubber powder are doped, so that the workability of the slurry is improved, and meanwhile, the slurry has relatively high water permeability and mechanical property. According to the coal gangue vegetation concrete, solid waste materials can be fully utilized, particularly, coal gangue can be efficiently utilized, and the vegetation performance requirements can be met through a high-porosity different-aperture gradient permeation structure and low alkalinity of the coal gangue vegetation concrete. The method is suitable for greening laying of road slopes, river channel protection slopes, squares and parking lots and mine slopes, the slope surfaces can be reinforced, water and soil loss can be prevented, air can be purified, the ecological environment of a mining area can be repaired, and ecological balance can be maintained.

The invention discloses an indoor dynamic environment three-dimensional reconstruction method and system based on deep learning, and the method comprises the steps: employing SuperPoint and LightGlue to carry out the extraction and matching of feature points, carrying out the precise recognition of a dynamic target in combination with YOLOv11 and SAM technologies, and carrying out the implementation of an image pyramid feature selection strategy, and can uniformly reserve key feature points layer by layer, thereby achieving the precise recognition of a dynamic target. The feature points of the dynamic object are effectively eliminated, so that the efficiency is further improved, and finally, a high-precision, high-robustness and high-real-time visual synchronous localization and mapping (VSLAM) system for high-precision localization and mapping is realized in an indoor dynamic environment. The method is suitable for the fields of robot navigation, unmanned vehicles, indoor positioning and navigation and the like in indoor environments with weak GPS signals and more dynamic objects, such as large underground parking lots, shopping malls, office buildings and the like.

The invention specifically relates to a smart parking lot traffic management system based on traffic Internet of Things, and relates to the technical field of smart traffic and Internet of Things. A data processing and fusion module; a congestion prediction module; a prediction optimization module; and an induction information generation and release module. According to the invention, through multi-dimensional data acquisition, fusion and model optimization, accurate pre-judgment and dynamic adaptation of parking lot congestion are realized; the congestion prediction module constructs a multi-dimensional feature system of stagnation degree, unit average delay degree and occupancy degree, covers core inducements of vehicle retention, parking efficiency, resource mismatch and the like, combines historical data optimization factors and k value dynamic adjustment, and enables the prediction model to continuously adapt to changes of parking lot vehicle types, user habits and the like. Passive response of congestion treatment is upgraded to active prevention, invalid wandering of vehicles and lane congestion are reduced, the parking lot passing efficiency and the parking space turnover rate are remarkably improved, and the operation cost is reduced.

The invention belongs to the technical field of traction robot control, and relates to an intelligent sensing control method and system for a traction robot. Checking the consistency of satellite positioning, ultra-wideband positioning and odometer information, calculating the credibility, fusing to obtain a fused pose and pose confidence, and when the confidence is lower than a threshold, rejecting low-credibility information to degrade and re-fuse; environment representation is constructed based on laser point cloud and image semantics, and dynamic obstacles are updated; generating and updating a target track according to environment change or confidence change under environment representation and motion constraint; and generating a control instruction according to the target track, the fused pose and the traction connection angle, and parking when a safety condition is triggered. According to the technical scheme, through trailer motion constraint, multi-source positioning consistency check, dynamic obstacle environment representation and track self-adaptive updating cooperation, pose reliability maintenance and track-control closed loop stability are achieved, and the trailer / motor home shifting and parking requirements of a camping site and a parking lot are met.

The invention provides a parking lot safety operation intelligent monitoring and self-adaptive scheduling management platform based on cloud edge cooperation AI, and the platform comprises a data analysis and alarm module which carries out the analysis of the behaviors of a driver and the surrounding environment of a vehicle based on an AI model disposed on a parking lot intelligent terminal, and carries out the instant alarm when an abnormal driving behavior or a safety risk exists; the global analysis index determination module is used for uploading the behavior recognition result obtained through analysis and the time series data of the environmental risk information to the cloud platform, and aggregating and mining the time series data of each parking lot vehicle in the space region based on the cloud platform to obtain the global analysis index of the working efficiency and the safety situation of the parking lot vehicle; and the scheduling management module dynamically generates a task scheduling instruction and a path planning instruction of each parking lot based on the global analysis index, and issues the task scheduling instruction and the path planning instruction to the parking lot intelligent terminal for cooperative management of operation behaviors. The operation safety and the operation efficiency are remarkably improved, and human errors and resource waste are reduced.

The invention discloses a smart parking lot based on image recognition and a parking method thereof. The smart parking lot comprises an entrance gate module, an exit gate module, an image acquisition module, a control module, an automatic vehicle moving module, a communication module and a storage module. The image acquisition module is arranged in the parking lot and is used for performing image acquisition on each parking space; the control module is used for detecting whether an idle parking space exists in the parking lot according to the parking record and the image acquired by the image acquisition module and judging whether the to-be-parked vehicle has a private parking space in the parking lot according to the license plate number acquired by the entrance gate module; according to the idle parking space detection result and the private parking space judgment result, different instructions are sent according to a parking strategy; the system is also used for generating parking charging information according to the entrance time and the departure time and generating vehicle owner identity verification information according to the license plate number. Intelligent integrated parking and car taking are achieved, and the defects of an existing traditional parking lot are overcome.

The invention discloses an unmanned aerial vehicle in-road berth shooting system with an intelligent parking platform and a method thereof, and belongs to the technical field of unmanned aerial vehicle in-road berth shooting. The system comprises a plurality of parking spaces and a street lamp post, wherein an aerial image acquisition device is further arranged on the street lamp post; the aerial image acquisition device comprises an unmanned aerial vehicle and an airport apron; a camera module, a rechargeable battery and a device management module are arranged on the unmanned aerial vehicle; the airport apron comprises a parking platform; the parking platform comprises a device body, a magnetic attraction charging mechanism and a buffering mechanism. The magnetic attraction charging mechanism comprises a charging panel, a plug-in port is formed in the charging panel, the charging panel is connected with a charging head through a support, a magnetic attraction block is arranged on the charging head, and a magnetic attraction groove is formed in the corresponding position of the device body. The buffering mechanism is arranged at the bottom of the device body and comprises a damper and an elastic piece, the damper is sleeved with the elastic piece, and a positioning sliding block is further arranged at the bottom of the device body and is in sliding connection with the supporting block. According to the invention, rapid and stable charging connection or / and data transmission is realized.

The invention relates to the technical field of satellite navigation and wireless communication, and discloses an indoor positioning method and system based on feeder multiplexing Beidou double-frequency, and the method comprises the steps: receiving outdoor B1I and B2a signals through a high-gain Beidou double-frequency receiving antenna, carrying out the frequency separation and signal conditioning through a double-frequency separation filter, and carrying out the positioning of the B1I and B2a signals; and transmitting the B1I signal to an indoor distributed antenna for broadcasting through the existing communication feeder network, and transmitting the B2a signal to a central directional antenna to establish a time synchronization reference. A mobile terminal receives a dual-frequency signal, capturing and tracking are carried out through digital signal processing, and pseudo-range and carrier phase observation values are extracted. And performing pairing processing on observation data of the same antenna, calculating a dual-frequency pseudo-range difference value, eliminating system errors, and performing position calculation by adopting a weighted least square method and Kalman filtering. The method solves the problem that the traditional GPS signal cannot cover the indoor environment, and has a good application prospect in the scenes of underground commercial complexes, tunnels, parking lots and the like.

A parking space location determination method and apparatus, a device, a medium, and a product. The method comprises: acquiring a target parking lot image collected by a target camera in a parking lot (S110); inputting the target parking lot image into a target parking space detection model to obtain a parking space center image coordinate corresponding to a parking space in an idle state (S120); and determining geographic location information of the parking space in the idle state on the basis of geographic location information of the target camera and the parking space center image coordinate corresponding to the parking space in the idle state (S130).

1. The name of the designed product: toy (lion slide parking lot). 2. The use of the designed product: children's toy, for playing. 3. The design points of the designed product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention relates to the technical field of parking lot positioning, in particular to a vehicle positioning management system in a parking lot based on dynamic weight multi-sensor fusion. Comprising a multi-source sensor data acquisition unit; an environment entropy perception and weight pre-adjustment unit; a reinforcement learning weight optimization unit; and an edge end vehicle positioning management unit. According to the method, an image histogram entropy value and a UWB signal RSSI fluctuation variance are calculated in real time through a heterogeneous sensor array in combination with an environment entropy perception and weight pre-adjustment unit, meanwhile, a space correlation matrix is constructed through sensor plane coordinate mapping, and interference space correlation characteristics are extracted. Based on reinforcement learning, a causal correlation model of an environmental entropy change rate, interference characteristics and sensor failure time is established, a sensor failure window can be predicted in advance, the weight of each sensor accessing a fusion filter is dynamically adjusted, and the problems of environmental influence perception deficiency, sensor correlation analysis and failure pre-judgment are solved.

The invention relates to the technical field of parking lot navigation, and provides a parking lot navigation system and method, equipment and a medium, according to the scheme, cameras are arranged at the entrance and the interior of a parking lot respectively to collect video streams containing target vehicles, LED lamps are arranged in the parking lot, and the video streams collected by the cameras are transmitted to a control device; and enabling the control device to generate an optimal guide route for the target vehicle to run to the target parking space in the parking lot based on the video stream acquired by the camera, generating a control scheme of the LED lamp in the parking lot according to the optimal guide route, and displaying the optimal guide route by the LED lamp according to the control scheme. According to the parking lot navigation system, the camera, the control device and the LED lamp are adopted to design the parking lot navigation system, so that the parking lot navigation system does not need to be networked with other external equipment, and accurate parking navigation in a parking lot can be completed by matching the simple camera with other equipment in the system; the parking experience of the user is improved, and the cost of intelligent parking is reduced.

To provide a parking space allowing a user of a parking lot to park at the lowest charge within a predetermined range.SOLUTION: A parking fee settlement system includes a parking information reception unit that receives parking information indicating that a vehicle is stopped in a predetermined parking space from a portable terminal, a fee information reception unit that receives fee information of another parking space within a predetermined range from the parking space from the portable terminal, a fee comparison unit that compares the fee information of the parking space with the fee information of the other parking space, and a fee settlement unit that settles a parking fee based on the fee information of the other parking space when the fee information of the other parking space is cheaper than the fee information of the parking space.SELECTED DRAWING: Figure 1

The invention, which belongs to the technical field of intelligent parking lot parking space guiding, discloses an intelligent parking lot parking space guiding system comprising a sensing module, a processing module, a transmission module, an application module and an execution module. The sensing module is used for realizing parking space multi-dimensional data acquisition through a multi-dimensional data acquisition mechanism; the processing module is used for cleaning, analyzing, calibrating and judging the data acquired by the sensing module and outputting an accurate parking space state instruction; the transmission module ensures real-time and stable transmission of data; the application module is used for realizing parking space state real-time display, reservation process management and dynamic path guide service; the execution module is used for instructing to execute parking space locking or unlocking operation; through cooperative work of multiple modules and combination of hardware optimization and algorithm innovation, the system significantly improves the parking space occupation state identification precision, guarantees the effectiveness of a reservation function, optimizes the parking experience of a vehicle owner, and improves the parking space utilization rate of a parking lot.

The application provides a parking lot-based laser radar monitoring method, system, device and storage medium, wherein the method comprises the following steps: collecting point cloud data in a parking lot and dividing the point cloud data into a static point cloud set and a dynamic point cloud set, dividing target dynamic point cloud sets to be tracked from the static point cloud set and the dynamic point cloud set, obtaining a coincidence coefficient of a first projection area of a preset parking space and a second projection area of the target dynamic point cloud set, and updating the target dynamic point cloud set to a static point cloud when the target dynamic point cloud set is static in the range of a parking space point cloud and the coincidence coefficient meets a preset threshold, and determining that a collision is sent when the nearest distance between the second contour of the target dynamic point cloud set and the third contour of the static point cloud representing all vehicles parked on the parking space is 0. The application can solve the problem of car safety protection after parking, confirm the danger and capture the relevant image, and provide the greatest vehicle safety guarantee for the owner.