29 results about "Vehicle counting" patented technology

This disclosure relates generally to identification of charging station location based on data driven optimization. Despite the rapid growth seen in adoption of EVs, several challenges have remained, with the major concern of choosing the location of the charging infrastructure is crucial. The state-of-art techniques to identify the location of charging infrastructure / station is based on pure optimization techniques using static number of charging stations, which may not effectively output the global optimal solution for the city as it is not performed at real-time. The disclosed technique is a flow-based solution approach that is based on daily traffic count data. The disclosed technique analyses traffic condition from vehicle count data, geography of the city or area of interest, road networks, charging station operation constraints to identify a set of candidate locations required to cover entire city or area of the interest based on a score-based ranking of each candidate location.

The invention discloses a configurable dynamic vehicle-mounted dimming method and system for tunnel lamp illumination, and the method comprises the following steps: dividing a target tunnel into a plurality of dimming sections, further dividing a dimming loop in each dimming section, and carrying out the deployment of an illumination unit and an incoming vehicle detector based on a division result; a dimming counting interval of a logic level is constructed, a dynamic mapping relation is established between the dimming counting interval and a dimming loop of a physical level, and the dimming counting interval is a minimum logic unit used for vehicle tracking and counting; an independent vehicle counter is configured for each dimming counting interval, and a counting updating rule is set; configuring a security policy for counting function activation and dimming execution; and responding to the triggering of the coming vehicle detector, updating the vehicle count in the dimming counting interval in real time, and adjusting the brightness of the dimming loop based on the security policy. Compared with the prior art, the configurable dynamic vehicle-mounted dimming method and the configurable dynamic vehicle-mounted dimming system have remarkable progress in the aspects of energy conservation and safety.

The present application relates to the technical field of vehicle battery replacement, in particular to a battery replacement station battery replacement queuing vehicle counting method, device, equipment and storage medium, the present application discloses a kind of battery replacement station battery replacement queuing vehicle counting method, the battery replacement station battery replacement queuing vehicle counting method includes: detecting new energy battery replacement vehicle in the preset queuing area of battery replacement station that meets queuing condition;The vehicle attribute and historical battery replacement data of each new energy battery replacement vehicle are obtained;Through the trained battery replacement prediction model, whether each new energy battery replacement vehicle exists battery replacement demand is predicted according to the vehicle attribute and the historical battery replacement data;The number of target new energy battery replacement vehicle that exists battery replacement demand is determined, by obtaining the vehicle attribute and historical battery replacement data of new energy battery replacement vehicle in the preset queuing area of battery replacement station that meets queuing condition, input to the trained battery replacement prediction model, to predict whether new energy battery replacement vehicle exists battery replacement demand, improve the precision of the vehicle battery replacement queuing number calculation of battery replacement station.

The invention provides a traffic management system and method. A traffic management system is disclosed. The system may include a transceiver configured to receive an input from a sensor kit located near a first location; and a processor configured to obtain the input from the transceiver. The processor may also be configured to determine a vehicle count and / or a vehicle queue length in a queue of vehicles near the first location based on the input. The processor may also determine that a predefined condition may be satisfied based on the vehicle count and / or the vehicle queue length. The processor may, in response to determining that the predefined condition is satisfied, determine a presence of a vehicle behind an associated point in the queue of vehicles based on the input, and, in response to determining that the vehicle is present, transmit an instruction to the vehicle to move to a second location.

The present invention belongs to the technical field of vehicle recognition and tracking, and discloses a portable vehicle video target recognition and tracking method and system. The portable vehicle video target recognition and tracking method includes: setting hyperparameters; performing foreground extraction; performing morphological processing; and performing vehicle counting. The present invention proposes a solution for video target recognition and tracking based on the ARM platform. In terms of the moving target tracking algorithm, it focuses on researching the contour-based tracking algorithm, and on this basis, proposes improvements according to the actual traffic flow statistics scenario. For the problems of vehicle connection occlusion and vehicle perspective change, solutions such as setting hyperparameters according to the pixel size of the vehicle and using target filtering technology to improve accuracy are proposed. The present invention finds the recognition algorithm and tracking algorithm with the highest matching degree with the ARM platform through analysis and comparison, and finally realizes the recognition, tracking, and counting of video moving targets on the ARM platform.

The present invention relates to the field of radar technology, and in particular to a data fusion method and a device thereof. The method comprises the following steps: S1, using a lane calibration automatic division method to complete lane division and obtain a lane division result; S2, according to the lane division result, using a split target fusion method to fuse collected vehicle target data to obtain fused vehicle target information, complete the statistics of vehicle flow and vehicle speed, and effectively solve the problem of large truck target splitting and improve the accuracy of vehicle counting.

This utility model relates to the field of municipal supplies, specifically a portable road vehicle counter, including a laser emission counter, a clock module, a microprocessor, a memory, and a power supply module. The laser emission counter includes a transmitter and a receiver respectively located on both sides of the road segment to be measured. The transmitter emits a laser beam, and the receiver receives the laser beam and generates an electrical signal. The clock module, laser emission counter, and memory are all communicatively connected to the microprocessor. When the microprocessor receives a counting signal triggered by a vehicle blocking the laser beam, it simultaneously acquires the current time information provided by the clock module, binds the counting result corresponding to the counting signal with the time information, and stores it in the memory. This solution can count the number of vehicles passing through within a certain time period, thereby determining the frequency and temporal pattern of traffic congestion on a certain road segment, allowing for adjustments to construction organization and facilitating road engineering modifications.

The invention discloses a sensor-based monitoring system, and the system comprises a first weight sensor which detects the weight data of a vehicle when the vehicle leaves from a leaving intersection of a cargo loading place and passes through the first weight sensor, and generates first vehicle counting data; the data processing module accumulates the received weight data of the vehicles to obtain current accumulated weight data of the vehicles, accumulates the first vehicle counting data, calculates the total number of the loaded vehicles, divides the current accumulated weight data of the vehicles by the total number of the loaded vehicles to obtain the average cargo capacity of the vehicles, and sends the average cargo capacity of the vehicles to the data processing module; dividing the remaining weight data of the to-be-loaded cargoes by the average cargo capacity of the vehicles, and calculating to obtain the number of the vehicles needing to be allocated; and the deploying module is used for sorting the vehicles in the to-be-loaded state from small to large according to the driving distances between the vehicles and the cargo loading places, and sending deploying instructions to the vehicles. The port cargo loading efficiency can be improved.

1. Name of the product in this design: Magnet Mounting Bracket (THDS Equipment). 2. Purpose of this design: To provide a mounting platform for the magnetic signal sensor of an infrared shaft temperature detection system (THDS device). Magnet steel signal sensors are an important component of railway infrared axle temperature detection systems (THDS equipment), providing the system with start / stop signals and axle / vehicle counting signals. The magnet mounting bracket allows the magnet signal sensor to be installed on the rail, meeting the relevant dimensional requirements. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D model 2. 5. The enlarged view of part A is a partial enlarged view of part A in 3D diagram 2.

A parking facility that includes two or more parking areas / levels / sublots that are subject to different parking rules and / or cost structures employs cameras to monitor exit events for each separate parking area / level / sublot that is subject to different parking rules and / or cost structures. Vehicle parking is monitored for each different parking area by reading a vehicle characteristic with a camera, such as a license plate reading (LPR) camera where plates of vehicles exiting each sublot can be read. As the vehicle is determined to be exiting a first sublot, it is removed from the tally for that first sublot and simultaneously added to the tally for the second sublot. Additional sublots are monitored and tallied in a similar manner.

The present disclosure provides an image-based vehicle recognition method, device, system, equipment and storage medium. The method comprises: inputting the acquired vehicle image into a trained vehicle recognition network to output a vehicle position distribution map, a vehicle counting density map and a multi-scale candidate region attention map; determining a vehicle positioning result and a vehicle counting result according to the vehicle position distribution map and the vehicle counting density map; determining a dense area with dense vehicle distribution in the vehicle image according to the multi-scale candidate region attention map; inputting the local image of the dense area into the vehicle recognition network after resolution magnification to output an accurate vehicle position distribution map and a vehicle counting density map of the corresponding area, and then determine the accurate vehicle positioning and counting result of the corresponding area, replace the vehicle positioning and counting result of the corresponding area in the vehicle image, and obtain the accurate vehicle positioning and counting result of the vehicle image. The present disclosure realizes accurate recognition of the number and position of vehicles in the image.

The utility model discloses a numerical control turning auxiliary tool for machining a nitrogen cylinder lower cover workpiece, relates to the technical field of numerical control turning auxiliary tools, and aims to solve the problem that a three-jaw chuck on a numerical control lathe cannot clamp a nitrogen cylinder lower cover. The clamping end of the transition piece is round and used for being clamped with a three-jaw chuck, the end, away from the three-jaw chuck, of the transition piece is coaxially connected with a connecting rod, the connecting rod is coaxially sleeved with a workpiece body, and the end, away from the transition piece, of the connecting rod is connected with a pressing plate.

A vehicle comprising at least one transmitting antenna unit which is configured to transmit a radio signal impulse in a defined transmission frequency range. At least one receiving antenna unit is configured to receive radio signals in the defined transmission frequency range. A computing unit is configured to monitor the signal strength curve of the radio signal received by the receiving antenna unit. The computing unit has a vehicle counting module, which is designed to detect the vehicles passing the vehicle on the basis of the signal strength curve and to add them together to a count value.

An edge information handling system (IHS) manager includes a storage for storing a labeled data associated with a use counter; and a vehicle counter; and a processor. The processor is programmed to: update an inference module using the labeled data, determine, after the updating, whether the use counter of the labeled data has exceeded a current use threshold, and in response to the use counter of the labeled data exceeding the current use threshold, initiating replacing of the labeled data with new labeled data from a central IHS. The current use threshold is based on the vehicle counter.

The purpose of the present invention is to provide a waiting time (estimated standby time) for a vehicle waiting in a waiting vehicle queue occurring in a specific lane on a road.　This calculation system comprises: a detection unit that, on the basis of information about a first area set in front of a specific point, detects the leading vehicle in a queue of waiting vehicles heading to the specific point; a first calculation unit that calculates the travel time required for the leading vehicle to pass the specific point, on the basis of the movement of the leading vehicle; a vehicle counting unit that detects vehicles that have entered a second area serving as a waiting place for following vehicles that follow the leading vehicle, and thereby counts the number of following vehicles that follow the leading vehicle; and a second calculation unit that calculates an estimated waiting time for a vehicle when the vehicle newly joins the queue of waiting vehicles, on the basis of said travel time and the number of following vehicles.

The present disclosure is a vehicle counting system that performs: acquiring a signal measured by an optical fiber vibration measurement device to which an optical cable having a crossing section laid to cross a road or a railway is connected; calculating a vibration waveform of the crossing section using the acquired signal; and counting the number of vehicles that passed through the crossing section on the basis of the calculated number of vibration waveforms.

The application relates to the technical field of artificial intelligence, and provides a vehicle counting method and device, electronic equipment and a storage medium, the method comprises the following steps: acquiring an original image collected, and performing first preprocessing on the original image to obtain a first image, wherein the original image contains a plurality of vehicles; performing a first morphological operation on the first image to obtain a plurality of contours in the original image; determining a target contour based on the plurality of contours, and performing distance transformation on the target contour to obtain a distance transformation image; performing second preprocessing on the distance transformation image to obtain a second image; performing a second morphological operation on the second image to calculate the number of vehicles in the original image. The application separates the adhered vehicles for multiple times through the morphological operation on the preprocessed image, and the accuracy of vehicle counting is improved.

The invention belongs to the technical field of intelligent traffic control, and discloses a phase sequence-duration coordinated fine-grained artificial intelligence traffic signal control method and device. The method comprises the following steps: firstly, obtaining vehicle position and speed data of each entrance lane of a signalized intersection, dividing cells with gradual change lengths, collecting vehicle count and average speed in the cells, constructing a two-channel 3D traffic state tensor, and realizing fine-grained sensing; secondly, a Transform encoder is adopted to process a state tensor output global representation, a state value and a dominant function are subjected to parallel calculation based on a D3QN architecture, Q value overestimation is avoided through a double-Q network, and artificial intelligence decision optimization is completed; thirdly, introducing a priority experience playback mechanism, determining a sample priority and sampling according to a TD error, adjusting loss and optimizing training efficiency in combination with an importance weight, designing a phase sequence-duration coordination action pair, constraining the maximum green light duration and continuous expansion times of a straight-going / left-turning phase sequence, avoiding phase sequence hunger, and realizing fine-grained action control.

The invention relates to a traffic vehicle counting method based on improved YOLOv8, and the method comprises the steps: introducing an LSKA attention mechanism to improve the YOLOv8 according to the image difference characteristics of passing vehicles; the counting method comprises the following steps: shooting passing vehicles at an urban road intersection, and preprocessing the shot videos to obtain a data set D1; an improved YOLOv8 neural network is constructed; inputting a training set in the data set D1 into the improved YOLOv8 network for training; verifying the trained improved YOLOv8 network by using a test set in the data set D1; and the trained model is optimized through a ByteTrack algorithm. According to the traffic vehicle counting method based on the improved YOLOv8, on the basis of an SPPF structure of a YOLOv8 network, an LSKA attention mechanism is introduced, feature extraction and fusion capabilities are increased, and the precision of recognition of passing vehicles is improved; and through a real road scene, the method is not influenced by environmental factors and complex weather and terrains, and the passing vehicles at the road intersection are dynamically tracked in real time.

The present invention discloses a device and method for rapid prediction and display of three-dimensional images of traffic thermal environment, comprising a 360° rotating camera, a temperature sensor, a wind speed sensor, an image acquisition module, a data processing module and a display. The 360° rotating camera is responsible for capturing real-time vehicle status images on the road; the image acquisition module is responsible for counting vehicles in the real-time vehicle status images; the temperature sensor is responsible for collecting the real-time air temperature around the road; the wind speed sensor is responsible for collecting the real-time wind speed around the road; the data processing module is responsible for processing the acquired data, generating a real-time high-resolution dynamic image of the traffic thermal environment of the road, and determining the average temperature; the display is responsible for displaying the real-time high-resolution dynamic image of the traffic thermal environment, or simultaneously prompting a "high temperature warning". The present invention solves the problem that traditional technologies are limited by the number of monitoring equipment and the cost of use, and can be applied to the prediction and display of three-dimensional images of any road traffic thermal environment.

The present application discloses a method, device, equipment and storage medium for intelligent identification and control of the slow charging scheduled charging function of an electric vehicle, which relates to the field of electric vehicle charging technology, including: obtaining predetermined feature information, vehicle time information and vehicle-mounted charging time; identifying the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle-mounted charging time to determine the vehicle count value; and controlling the vehicle to intelligently trigger the target charging process based on the vehicle count value. The present application intelligently identifies the user's charging intention and determines the vehicle count value, automatically triggering the target charging process, reducing the user's manual operations during the charging process, and automatically adjusting the charging strategy by learning the user's charging habits to adapt to the user's actual needs, thereby improving the intelligence and convenience of charging, and reducing the risk of after-sales complaints caused by misunderstandings. At the same time, it improves the flexibility of the charging strategy and user experience, making the charging process more personalized and convenient.

The application discloses a dense vehicle counting method based on a deep space-time network, and comprises the following steps: sending a counting image to the first ten layers of VGG-16 through MSCNet to extract initial image features; adopting a direction-based perspective coding module to code global features in four directions; designing a multi-scale hollow residual module for extracting different scale feature information, combining different layers in the module through a cascading method to form multiple hollow convolution rates, and solving the gradient disappearance problem caused by the deep network through residual connection; and learning the weight of different channel features through a channel perception attention module to enhance the vehicle features extracted in a mixed scene. The application counts vehicles through MSCNet, which is a single-column multi-branch network based on CNN and adopts an end-to-end cascading framework, can effectively mine the space-time data in traffic jam images, predict a high-quality density map and calculate the number of vehicles, and has high counting precision for vehicles.

The application discloses a configurable dynamic vehicle-following dimming method and system for tunnel lamp lighting, which comprises the following steps: dividing a target tunnel into several dimming sections, further dividing dimming loops in each dimming section, and deploying lighting units and vehicle detector based on the division result; constructing a dimming counting interval at a logical level, and establishing a dynamic mapping relationship with a dimming loop at a physical level, wherein the dimming counting interval is the minimum logical unit for vehicle tracking and counting; configuring an independent vehicle counter for each dimming counting interval and setting a counting update rule; configuring a safety strategy for activating and dimming execution of the counting function; in response to the triggering of the vehicle detector, updating the vehicle count of the dimming counting interval in real time, and adjusting the brightness of the dimming loop based on the safety strategy. The configurable dynamic vehicle-following dimming method and system of the application have significant progress in energy saving and safety compared with the prior art.

The utility model relates to the technical field of buses, in particular to a vehicle counting pedal device which comprises a structural frame, a bearing groove is formed in the center of the end face of the structural frame and is of an inclined structure, a plurality of anti-skid steel plates are fixedly installed in the bearing groove, and the center of the bottom end face of each anti-skid steel plate is of a through structure. Guide grooves are formed in the two ends of the inner wall of the bearing groove, a dust scraping assembly is arranged between the two guide grooves, the dust scraping assembly comprises a cross beam frame, the cross beam frame is located at the bottom of the inner side of the anti-skid steel plate, and a plurality of installation hanging rods are fixedly installed in the center of the end face of the bottom of the cross beam frame. The pedal structure for the bus pedal counting device is simple in overall structure and convenient to install, and the structural stability of the overall structure is effectively improved; and moreover, during use, an efficient cleaning and dust removal effect is achieved, dust and soil in the structural frame are effectively removed, and the cleaning convenience is improved.

Vehicle (10) with at least one transmitting antenna unit (22, 32, 42, 52) configured to transmit a radio signal pulse (SI) in a defined transmission frequency range, at least one receiving antenna unit (24, 34, 44, 54) configured to receive radio signals (S) in the defined transmission frequency range, and a computing unit (62) configured to evaluate the signal strength profile (SV) of the radio signal (S) received by the receiving antenna unit (24, 34, 44, 54), wherein the computing unit (62) includes a vehicle counting module (64) configured to recognize the vehicles (100, 102) passing the vehicle (10) based on the signal strength profile (SV) and to add them together to a count.

The invention discloses a parameter attention-free vehicle target counting method and system suitable for a roll-on roll-off wharf scene. The method comprises the following steps: acquiring a high-angle aerial image of the roll-on-roll-off wharf; the image is input into an improved YOLO-SimAM model for vehicle target recognition, and the model deeply embeds a SimAM parameter-free attention mechanism in a YOLO backbone network to enhance the attention of the model to a vehicle target area; generating a horizontal bounding box of each vehicle according to prediction parameters output by the model; and counting the number of all effective bounding boxes to obtain the total number of vehicles. According to the method, a parameter-free attention mechanism is introduced, so that the model can effectively utilize global context information of regular arrangement of vehicles in the roll-on roll-off wharf, the recognition capability of vehicles with fuzzy characteristics or shielded vehicles is improved, and high-precision and automatic vehicle counting is realized.

The invention relates to the technical field of vehicle battery replacement, in particular to a battery replacement station battery replacement queuing vehicle counting method, device and equipment and a storage medium. The charging station charging queuing vehicle counting method comprises the following steps: detecting new energy charging vehicles meeting a queuing condition in a preset queuing area of a charging station; obtaining vehicle attributes and historical battery replacement data of each new energy battery replacement vehicle; through a trained battery replacement prediction model, predicting whether each new energy battery replacement vehicle has a battery replacement demand or not according to the vehicle attributes and the historical battery replacement data; and determining the number of target new energy battery replacement vehicles having battery replacement demands, obtaining vehicle attributes and historical battery replacement data of new energy battery replacement vehicles meeting queuing conditions in a preset queuing area of the battery replacement station, and inputting the vehicle attributes and historical battery replacement data to a trained battery replacement prediction model to predict whether the new energy battery replacement vehicles have the battery replacement demands or not. And the calculation precision of the vehicle battery replacement queuing number of the battery replacement station is improved.

A vehicle flow monitoring system for detecting both a car count and direction of movement of vehicles passing a point of interest. The vehicle flow monitoring system generally includes a car counter which may include a microcontroller and a pair of distance sensors. Each of the distance sensors is oriented toward a unique point of interest. Each of the distance sensors includes a threshold distance reading which is used to detect whether a vehicle has passed underneath the car counter. The system may determine direction of travel of the vehicle based on which of the distance sensors is passed by the vehicle first. The microcontroller may assign an Event ID to each time a vehicle passes each of the sensors, with the Event ID being used to identify when and if the vehicle should be counted, or whether a non-vehicle object has passed the car counter.