125 results about "Vehicle detector" patented technology

An intelligent traffic management device for optimizing traffic flow at one or more intersections using reinforcement learning, comprising: a central control unit housed in a weatherproof enclosure and mounted on a structural support near an intersection; a sensor interface operatively connected to a variety of multimodal sensors, including at least radar-based vehicle detectors, inductive loop sensors embedded in the road surface, infrared pedestrian detection detectors, and high-resolution optical imaging modules; a powerful embedded computing unit consisting of a multi-core processor and a GPU configured for on-device inference; a reinforcement learning engine embedded in the computing unit, comprising a deep reinforcement learning model trained to map environmental states defined by traffic-related sensor inputs to optimized action policies for traffic light control; a signal actuation module electrically connected to traffic signal controllers, with action policies outputting signal phase durations and transitions in real time; a communications module supporting wireless connectivity and configured for device-to-device communication and cloud synchronization; a policy synchronization module configured to perform federated learning-based updates of model parameters by exchanging gradient weights or distilled traffic state vectors with neighboring intelligent traffic management devices deployed in a traffic network; where the reinforcement learning engine continuously observes traffic state vectors consisting of vehicle counts, average speeds, queue lengths, and pedestrian activity, and dynamically updates the policy to maximize cumulative traffic throughput and minimize average delay.

The invention discloses a highway tunnel lighting intelligent control method and system based on the Internet of Things, a sensing module is composed of a millimeter wave radar vehicle detector, a tunnel interior brightness sensor, a tunnel exterior brightness sensor and a vehicle speed detector, and a transmission module is a dual-mode communication module composed of a Zigbee wireless network module and a power line carrier communication module. A fuzzy control algorithm library is built in an edge computing gateway of the control module and is used for fusing data of the sensing module in real time and generating a dimming instruction, and each Internet of Things segmentation controller of the control module manages a plurality of lamps and is internally provided with a fault isolation circuit; and an intelligent management platform is arranged in the application module and is used for receiving an instruction of the control module and generating a dynamic dimming strategy. According to the invention, the millimeter-wave radar and video tracking data fusion, Zigbee + PLC dual-mode transmission and edge gateway self-learning algorithm are combined; according to the invention, the defects of the traditional scheme in the aspects of real-time performance, reliability, energy efficiency ratio and operation and maintenance cost can be systematically solved.

The invention provides an online multi-target multi-camera vehicle tracking method based on deep learning. The method mainly comprises the following steps: capturing vehicle video images from a plurality of cameras; identifying and positioning a vehicle instance by using a YOLOv11 algorithm; 2048-dimensional appearance features of the vehicle are extracted through a ResNet101IBN convolutional neural network; applying a single-camera multi-target tracking algorithm to generate a target track under each camera; and through a hierarchical clustering algorithm, in combination with feature cosine distance and Dunn index optimization, clustering is performed on a target trajectory, and cross-camera target matching is completed. The method iteratively executes the steps, and meets the multi-target vehicle tracking requirement in a continuous video stream. By integrating a lightweight vehicle detector, efficient appearance feature extraction, accurate single-camera tracking and an advanced cross-camera association strategy, the real-time performance, accuracy and robustness of vehicle tracking are remarkably enhanced, and the method is suitable for complex multi-camera monitoring environments such as urban monitoring, traffic management and automatic driving assistance systems.

A method to prevent intoxicated operation is described. The method includes providing instructions to a vehicle user to position a vehicle user body portion posture in a predefined alignment. The method further includes obtaining the vehicle user body portion posture from a first vehicle detector, and determining whether the vehicle user body portion posture is in the predefined alignment. The method includes activating a plurality of vehicle visual indicators to illuminate in a predefined manner when the vehicle user body portion posture is in the predefined alignment. The method further includes providing instructions to the vehicle user to move vehicle user eyes to track the plurality of vehicle visual indicators, and obtaining a vehicle user eye movement from a second vehicle detector. The method further includes determining whether the vehicle user eye movement meets a predetermined condition, and actuating a control action accordingly.

The invention discloses a traffic signal adaptive control method based on a thunder-vision integrated vehicle detector, and relates to the technical field of intelligent traffic, and the method comprises the steps: obtaining the time headway of vehicles in an entrance road section, the number of vehicles entering a target intersection, and the total number of vehicles entering the entrance road section; detecting the number of detained vehicles in each traffic flow direction of the entrance road section, and determining the saturation degree of each traffic flow direction; according to the saturation degree, the effective green light duration of the corresponding phase of each passing flow direction of the target intersection is adjusted, and when it is detected that a congestion flow direction exists, the additionally prolonged effective green light duration is added to the corresponding phase of the congestion flow direction, so that an updated signal timing scheme is obtained; and controlling the traffic lights of the target intersection according to the updated signal timing scheme in the next control period. The signal timing scheme is adjusted in real time according to the change condition of the road traffic flow state, adaptive control of the traffic signal lamp is achieved, and the road congestion problem is effectively relieved.

The invention discloses a road traffic inspection method and system based on big data processing, and particularly relates to the technical field of road inspection. Multi-source data such as a floating car Beidou, a car detector, an accident platform, a structure sensor and weather are accessed in real time and cleaned uniformly, and multi-dimensional indexes of congestion, accidents, road surfaces, structures and environments are constructed; dynamically dividing each kilometer of road section into 1-4 levels of risks; according to a grading result, introducing three factors including a risk change rate, a last inspection interval and an emergency, and calculating a dynamic inspection priority of each road section in real time; and finally, by using an improved VRPTW-PW algorithm, generating a routing inspection path with the shortest driving and the highest priority under the constraints of vehicle endurance and real-time road conditions. The system comprises a multi-source data fusion module, a dynamic grading module, a frequency tuning module, a path planning module and a closed-loop feedback module, the hidden danger discovery rate can be remarkably increased, the empty driving rate is reduced, and the precision and intelligence of road inspection are achieved.

A map generation apparatus including an in-vehicle detector detecting a situation around a subject vehicle and a microprocessor. The microprocessor is configured to perform extracting feature points from detection information detected by the in-vehicle detector, selecting first feature points from the feature points, calculating three-dimensional positions of the first feature points included in each of a plurality of the detection information while estimating a position or posture of the in-vehicle detector based on the plurality of the detection information, and generating a map including information of the three-dimensional positions of the first feature points. The microprocessor is configured to perform the selecting including selecting the first feature points other than a feature point of a predetermined landscape feature from the feature points, and the generating including adding information on a position of a second feature point not selected among the feature points to the map.

The invention discloses an infrared vehicle detection adversarial patch generation method based on a particle swarm optimization algorithm, and belongs to the technical field of infrared image processing and security attack. The method comprises the following steps of: firstly, performing vehicle segmentation on an input infrared image by using an image segmentation model to obtain an accurate vehicle segmentation mask for positioning a subsequent patch; thirdly, initializing an adversarial patch according to the segmentation mask, inputting the adversarial patch into an infrared vehicle detection model (such as YOLOv5) for detection, and generating a preliminary adversarial sample; then, defining a new loss function, and optimizing the generated adversarial patch by minimizing the confidence score of a detector on the patch, so as to enhance the attack effect; and finally, iteratively optimizing the position and the shape of the patch by adopting an improved particle swarm optimization (PSO) algorithm in combination with a shape optimization module so as to maximize the attack success rate, and ensuring the robustness and the adaptability of the patch in a real environment in combination with an expectation transformation (EOT) technology. According to the method, the attack success rate of the infrared vehicle detector is remarkably improved, and an innovative and efficient solution is provided for attack resistance of the infrared vehicle detector.

The utility model discloses a buried wireless geomagnetic vehicle detector easy to install, and belongs to the field of wireless geomagnetic vehicle detectors. The buried wireless geomagnetic vehicle detector easy to install comprises a fixed shell, an installation shell arranged at the opening end of the fixed shell and a plurality of reinforcing ribs which are fixedly installed on the fixed shell and distributed in an annular array. The buried wireless geomagnetic vehicle detector easy to install is simple in structure and convenient to use, through the arrangement of the reinforcing ribs and the sealing rubber rings, through the design of the fixed shell and the installation shell and the supporting of the reinforcing ribs, the detector can be effectively fixed underground after cement mortar is injected, the stability and the reliability of the detector are ensured, and the detector is suitable for popularization and application. And the cement mortar is prevented from overflowing in an injection mode, the cement mortar can be compacted before being condensed through the matching effect of the compaction plate, the telescopic rod and the spring, gaps and bubbles possibly appearing after the cement mortar is condensed are reduced, and the mounting quality and reliability are improved.

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.

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

1. The name of the design product: vehicle detector. 2. The use of the design product: vehicle detector for parking lock. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The utility model relates to a high-precision vehicle detector for motor vehicle detection, and aims to solve the technical problems that a light source and a detector of an infrared vehicle detector are blocked by dust at present, so that signal transmission is insensitive, the detection precision and sensitivity of the infrared vehicle detector are influenced, manual cleaning by personnel is needed, and the operation is troublesome. A transparent detection window is installed at one end of the stand column, a protection mechanism is arranged at the end, away from the transparent detection window, of the stand column and comprises an arc-shaped cover installed on the outer side of the stand column, and one end of the arc-shaped cover is provided with an opening. The brush roller can rotate automatically, the cleaning effect of the brush roller on the transparent detection window is improved, the cleaned brush roller is rotationally arranged in the arc-shaped cover, and the situation that the brush roller is exposed to the outer side and adsorbs a large amount of dust to affect the cleaning effect of the brush roller and the transparent detection window is avoided through cooperation with the shielding plate.

The invention relates to the field of expressway traffic management, in particular to an expressway congestion state detection method based on multi-source data fusion, which integrates data of a vehicle detector, an ETC (electronic toll collection) system, an Gade map and the like of a to-be-detected road section, accurately extracts traffic congestion characteristics by using a data analysis technology, and obtains a traffic congestion state through an efficient data fusion strategy. According to the invention, the road network service capability is enhanced, the real-time and consistent perception of the traffic state is realized, the traffic management efficiency is obviously improved, the traffic flow is optimized, the congestion is reduced, the travel experience of a driver is improved, and the highway traffic management efficiency is improved.

1. The name of the design product: vehicle detector. 2. The use of the design product: used for diagnosing and calibrating the advanced driver assistance system of the vehicle, and four-wheel positioning of the vehicle, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model discloses a front railing machine collision prevention device which comprises a shell, a rotating motor is installed on the outer surface of the shell, symmetrical first bearings are embedded in the inner wall of the shell, the inner rings of the two first bearings are jointly connected with a worm, and the output end of the rotating motor is connected with one end of the worm through the first bearings. According to the anti-collision device of the front railing machine, the worm can be driven to rotate through the rotating motor, the worm is meshed with the worm gear, the worm gear drives the baffle to ascend and descend, a vehicle is blocked, the anti-collision device has the self-locking performance, when damage occurs, the stop lever cannot automatically fall, and when the vehicle is detected through the microwave infrared vehicle detector, the anti-collision effect is good. When it is dark, the power supply assembly supplies power to the light bar, and the light-operated switch controls the light bar to light automatically, so that a driver can clearly see whether the stop lever is lifted or not, and the stop lever is prevented from being collided by mistake.

The application discloses a physically realizable constrained vehicle target anti-recognition method and system and a storage medium, and belongs to the field of adversarial attacks of deep learning methods, and the method comprises the following steps: in the training stage, a remote sensing image of an adversarial target vehicle in a physical world is acquired; the generation position and size of an adversarial block in the remote sensing image are determined; a corresponding random initial adversarial block is generated according to the generation position and size of the adversarial block, so that an adversarial sample image is obtained; the adversarial sample image is input into a vehicle detection network, the color composition of the adversarial block is trained, and the training is stopped until the loss converges or the set number of training times is reached, and a trained adversarial block is output; in the prediction stage, the trained adversarial block is used for physically realizable constrained vehicle target anti-recognition. The method has physical realizability and high applicability, can be applied to appearance protection processing of special vehicles against deep neural network vehicle detectors, and enhances the concealment of the special vehicles when facing the deep neural network vehicle detectors.

The utility model provides a kind of low altitude security spectrum unmanned aerial vehicle detector, including substrate, the top of the substrate is fixedly installed with box, the bottom of the box is fixedly installed with positioning mechanism, the moving end top of the positioning mechanism is fixedly installed with buffer clamp group, the top of the positioning mechanism is fixedly installed with detector body by buffer clamp group clamping installation, the back upper end of the box is fixedly installed with hinged part, the main buffer spring of the buffer clamp group, side buffer spring and damper of the device adopt synergistic effect, can effectively absorb and slow down the vibration generated in the jolt of transportation or use, avoid detector body damage, make up the deficiency of prior art without buffer structure, ball on side clamping plate and bearing plate, not only reduce clamping friction damage, also auxiliary adjustment detector position, enhance clamping stability, provide reliable protection for detector body, satisfy the demand of actual application to stable protection.

The invention provides a method for transmitting information among multiple unmanned aerial vehicles based on visual instructions. The method comprises the following steps: step 1, determining a visual instruction library based on light signals; the visual instruction library is used for transmitting information between the unmanned aerial vehicles; the unmanned aerial vehicle is divided into a leader and a follower; step 2, the leader unmanned aerial vehicle continuously transmits a light instruction; the leader unmanned aerial vehicle is sequentially switched to a corresponding light state based on the visual instruction library, and continuously transmits the light instruction; step 3, the following unmanned aerial vehicle uses unmanned aerial vehicle detection and identification based on appearance and motion information under a complex background to realize detection of the leading unmanned aerial vehicle; through a global-local combined unmanned aerial vehicle detector, unmanned aerial vehicle identification is carried out to lead an unmanned aerial vehicle; and step 4, the following unmanned aerial vehicle uses a vision-based light instruction identification algorithm to realize identification of the light instruction transmitted by the leader unmanned aerial vehicle. The method and the device can realize cluster formation cooperation without depending on inter-machine communication, and can be suitable for a cluster combat scene in which communication is rejected or communication needs to be kept silent.

The present invention relates to an improved router data device of roadway equipment that mainly provides all roadway equipment with functions to receive and record the return data transmitted from roadway equipment, such as vehicle detector, changeable message sign, automatic vehicle identification, traffic signal controller, electronic tag and other devices within a specific area, through such an improved router data device that uploads the return traffic data to a management platform center side for analyzing the state of the roadway equipment. The present invention provides effective security monitoring on the roadway equipment, increases the availability and maintenance efficiency of the roadway equipment.

The utility model belongs to the technical field of car washers, and particularly relates to a car washer air compressor automatic start-stop control device which comprises a car washer, a car detector is arranged at one end of the car washer and used for detecting whether a car exists in the car washer or not, and an air compressor is arranged at the other end of the car washer and used for detecting whether the car exists in the car washer or not. The air compressor comprises an air storage tank and a motor, a pressure sensor is arranged at an outlet of the air storage tank and used for monitoring the pressure value of the air storage tank in real time, and the air compressor further comprises a controller used for receiving signals of the pressure sensor and a vehicle detector. According to the scheme, invalid starting and stopping are effectively reduced, and frequent starting of the air compressor caused by chronic air leakage is avoided through double-condition judgment of pressure and the vehicle state; meanwhile, the service life of equipment is prolonged, the action times of components such as a motor, a contactor and a valve are reduced, and the estimated service life is prolonged by 30%-50%.

The application discloses a traffic intersection traffic light control method, including collecting real-time data, presetting pedestrian quantity range, presetting vehicle flow length range, calculating special vehicle intersection, special vehicle active regulation communication light, traffic accident dredging. The application obtains the latitude and longitude coordinate information of the special vehicle position and the latitude and longitude coordinate information of the intersection center position captured by the corresponding Beidou positioning equipment of the vehicle detector through the signal control machine, calculates the special vehicle driving path intersection, controls the traffic signal lamp of the special vehicle driving direction intersection to be green by the signal control machine, timely opens the green channel for the special vehicle, provides more efficient and safe driving route for the special vehicle, improves the emergency response speed and rescue efficiency; according to the vehicle flow and the pedestrian flow, the traffic intersection traffic light is regulated, the change of the traffic flow can be responded in real time, and the road traffic capacity and the traffic management level are improved.

The invention provides an ETC lane vehicle backing-up automatic identification and disposal method and system, and the method comprises the steps: receiving a vehicle detection signal from a vehicle detector, detecting a backing-up vehicle based on the time sequence of vehicle existence and no vehicle signal change through vehicle detection, and automatically identifying the backing-up vehicle through an ETC system; for the automatically identified reversing vehicles, reading the transaction states of the automatically identified reversing vehicles, and modifying the vehicle queue for the reversing vehicles in different transaction states according to a preset flow rule; wherein the transaction state comprises transaction success, transaction failure and no transaction label. According to the invention, the vehicle going out of the ETC lane can be accurately positioned, and the vehicle queue can be automatically processed and corrected. The vehicle passing efficiency of the highway ETC lane is effectively improved, and the traffic jam of the lane is avoided.

A vehicle driving control system including a vehicle detector to detect a target vehicle and calculate position information and movement information on the target vehicle, a lane detector to recognize a lane in which a subject vehicle is traveling and to calculate lane information on the lane, and a determiner to determine cut-in or cut-out of the target vehicle based on relative movement between the subject vehicle and the target vehicle in a horizontal direction or change in a length of the lane.

The invention relates to the technical field of air pollution dust removal, in particular to an efficient rotary dust removal device for steel scrap cutting in a steelmaking workshop, which comprises a mounting frame, a dust removal box is fixedly connected to the top of the mounting frame, a dust removal pipeline is arranged at the bottom of the dust removal box, a rotating mechanism is arranged at one end of the dust removal pipeline, and the rotating mechanism comprises a communicating pipe. The top of the communicating pipe is communicated and fixedly connected to the dust removal pipeline through a first flange plate; by arranging the rotating mechanism, a second motor is started, an output shaft of the second motor drives a second gear to rotate, the second gear drives a first gear to rotate, the first gear drives a second flange plate to rotate, the second flange plate drives a dust removal air pipe and a dust removal cover to rotate, and the dust removal cover rotates according to needs; and dust can be effectively removed in a rotating radius area, and whether a crane is lifted to approach or not can be detected through a crane detector, so that the function of automatically avoiding the lifting crane is realized.

This utility model relates to the field of vehicle inspection technology and provides an automatically positioning vehicle detector device, including a support plate with a sliding groove and a cavity. A screw is rotatably mounted on the inner wall of the sliding groove, with one end of the screw extending into the cavity. A slider is threaded onto the screw and slidably connected to the inner wall of the sliding groove. An electric slide rail is fixedly mounted on the top of the slider, and a housing is fixedly mounted on the sliding block of the electric slide rail. A camera for detecting the underside of a vehicle is fixedly mounted on the top of the housing. The automatically positioning vehicle detector device provided by this solution solves the technical problem that existing detectors, when detecting the underside of a vehicle, cannot mark and locate problem areas, resulting in additional time spent locating the specific damage location in subsequent processing, thus reducing repair efficiency.

The present invention relates to a cloud-based roadway equipment monitoring system that mainly provides and constructs a plurality of servers to receive and record the return data transmitted from all roadway equipment, such as vehicle detector, changeable message sign, automatic vehicle identification, traffic signal controller, electronic tag and more, within a specific area through a router monitoring data device that replaces the existing internet-connected router-modem devices. The present invention can monitor, record, and prevent hacker invasion to enhance the availability of devices of the roadway equipment and help the traffic control center to clarify responsibility of equipment vendors.

The present invention relates to a router monitoring data device of roadway equipment that mainly provides all roadway equipment with functions to receive and record the return traffic data transmitted from a plurality of roadway equipment, such as vehicle detector, changeable message sign, automatic vehicle identification, traffic signal controller, electronic tag and other devices within a specific area through such a router monitoring data device that uploads the return traffic data to a management platform center side for analyzing the state of the roadway equipment. The present invention provides effective security monitoring on the roadway equipment, prevents attack from hackers, and averts the content of return traffic data transmitted by the roadway equipment from being tampered.

The utility model discloses a rotatable green channel vehicle detector in the technical field of vehicle channel detection, and aims to solve the problem that an ultrahigh vehicle passes through a green channel for detection in the prior art, and the rotatable green channel vehicle detector comprises a rotating vertical beam, a rotating device and a driving device; a rotating device is arranged at the bottom of the rotating vertical beam, a cross beam is fixed at the upper end of the rotating vertical beam, and the rotating device is used for driving the rotating vertical beam and the cross beam to rotate; the driving device is in driving connection with the rotating device; and the driving device is in signal connection with the control system. According to the rotatable green channel vehicle detector provided by the invention, the slewing device is mounted at the lower end of the vertical beam provided with the cross beam, so that when the cross beam provided with the receiver limits the passing height of an ultrahigh vehicle during use, the vertical beam can be rotated, and the cross beam at the upper end is located in a position parallel to the passing direction of the vehicle; and temporary disassembly is not needed, so that convenience and rapidness in use are realized.

1. The name of this design product: Vehicle detector. 2. Purpose of this design product: used as a vehicle detector. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.