851 results about "Vehicle detector" patented technology

An automatic recharging docking station for electric vehicles or hybrid electric vehicles in which standardized uniform charging stations are positioned in public parking facilities, private parking facilities, rest stops, or the like, and by means of a retractable vehicle probe, allow the owner/user of the vehicle to attach to the charging station and recharge the batteries or storage cells of the vehicle while the owner/user is at work, shopping, or otherwise not requiring the use of the vehicle. The particular vehicle and vehicle probe would have an encrypted identification means so that its identity would be recorded when it connected to a particular recharging station, regardless of which electrical jurisdiction that charging station was located, such that the respective electric utility companies or other entity would be able to identify and bill the owner/user for the quantity of electricity drawn during a specified time period.

The system described is an integrated parking management system which makes use of patented vehicle detectors to collect and transmit data, essentially in near real time, as to all events happening as to single or multiple parking spaces (e.g. current and historic use, length of time of occupancy of current occupant) to a central clearing device for which patent application has been made which serves as a logic core and repository, making use of proprietary software, analyzing, displaying and distributing the data so developed as to a parking plant and all of its components to allow all parties (including prospective users) who are concerned with the various aspects of a parking plant and its components (e.g. determination as to availability of spaces, maintenance and repair of meters, collection of revenues and enforcement of parking regulations) not only to access and make passive use of the information developed, in near real time, to permit them to identify what's happening to the plant and its components as to their own particular interest in such plant and so maximize the efficient use both of the resources of the plant and their own resources directed to the particular aspect of their interface with the plant and its components but also to access and make active use of such information for whatever purpose and in whatever fashion using whatever means of access they may wish. While others have made claim to certain of the individual functions described, e.g. vehicle detection, nobody has identified or patented

The systems described herein include one or more wireless vehicle detectors, along with a distributed parking payment system such as parking meters or a paystation. Information from the payment system and the vehicle detectors may be combined to determine when a parking violation occurs, or is about to occur. This information may then be transmitted through a communication system to a parking enforcement officer, along with information about the geographic location of the violation. The information may also, or instead be transmitted to a parking payer to notify the payer of an impending infraction so that the payer may purchase additional parking time before the violation.

A vehicle detector unit and detection method for use with an electronic parking meter for providing the electronic parking meter with the ability to reliably detect the presence or absence of a vehicle in any existing corresponding parking space, independent of the surrounding environment, while using a minimum of power.

An HOV enforcement system comprises roadside imaging units connected over a network to a central processing center. The roadside imaging units include Ethernet cameras with integrated vehicle detectors, night-time lighting, and image servers. The central processing center includes a central server with license plate reading and vehicle matching software, storage and databases, and review staff to issue bills and citations.

To ensure the toll collection of a vehicle carrying an in-vehicle unit without stopping the vehicle at an entrance toll gate or an exit toll gate, an entrance toll gate lane is equipped sequentially from the entrance with a vehicle class discriminator, an entrance vehicle number reader, a first antenna, a vehicle detector, a ticket issuer, a display unit, a vehicle detector, a second antenna and a start detector. The first antenna communicates with an in-vehicle unit of a coming vehicle to write the entrance toll gate data. The display unit is caused, when the communication succeeds, to permit the passage of the vehicle therethrough. When the communication fails, the display unit is caused to stop the vehicle, and the ticket issuer issues the ticket. The second antenna writes the vehicle class data and the registered number data, as detected by the vehicle class discriminator and the vehicle number reader, in an in-vehicle unit. Thus, the existing facilities can be used as they are.

The invention discloses a vehicle detection method based on a convolutional neural network. The method includes the step S1 of collecting vehicle samples and non-vehicle samples and classifying the vehicle samples, the step S2 of preprocessing the samples, the step S3 of training a CNN vehicle detector, the step S4 calculating an average similarity table of a characteristic pattern, the step S5 of constructing a similarity characteristic pattern set, the step S6 of obtaining a CNN-OP vehicle detector, the step S7 of obtaining detection images, the step S8 of preprocessing the obtained detection images, the step S9 of constructing an image pyramid for the detection images, the step S10 of extracting characteristics, the step S11 of scanning characteristic patterns, the step S12 of classifying the characteristics, and the step S13 of combining detection windows and conducting output. An offline optimization scheme is put forward, the convolutional neural network which is completely trained is optimized, the strategy of scanning the windows after extracting the characteristics is adopted at the detection stage, and therefore the characteristics are prevented from being repeatedly calculated, and the detection speed of the system is increased.

Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from vehicle camera sensors at a road segment, wherein the probe data includes lane marking data on the road segment. Lane markings are identified, to the extent present, for the left and right boundaries of the lane of travel as well as the adjacent lane boundaries to the left and right of the lane of travel. The identified lane markings are coded, wherein solid lane lines, dashed lane lines, and unidentified or non-existing lane lines are differentiated. The coded lane markings are compiled in a database. A number of lanes are predicted at the road segment from the database of coded lane markings.

Track and track/vehicle analyzers for determining geometric parameters of tracks, determining the relation of tracks to vehicles and trains, analyzing the parameters in real-time, and communicating corrective measures to various control mechanisms are provided. In one embodiment, the track analyzer includes a track detector and a computing device. In another embodiment, the track/vehicle analyzer includes a track detector, a vehicle detector, and a computing device. In other embodiments, the track/vehicle detector also includes a communications device for communicating with locomotive control computers in lead units, locomotive control computers in helper units, and a centralized control office. Additionally, methods for determining and communicating optimized control, lubrication, and steering strategies are provided. The analyzers improve operational safety and overall efficiency, including fuel efficiency, vehicle wheel wear, and track wear, in railroad systems.

A collision-prediction unit for a vehicle including a road condition detector, a maximum deceleration estimator, a forward vehicle detector, a forward vehicle deceleration calculator, and a collision examiner is provided. The road surface detector detects a condition of a road surface on which the vehicle travels. The maximum deceleration estimator calculates a maximum vehicle deceleration for the vehicle on the road surface having the detected condition. The forward vehicle detector detects a moving condition of a forward vehicle located ahead of the vehicle. The forward vehicle deceleration calculator calculates a forward vehicle deceleration based on the moving condition of the forward vehicle. The collision examiner determines whether a collision between the vehicle and the forward vehicle is imminent by comparing the forward vehicle deceleration to the maximum vehicle deceleration of the vehicle.

The invention provides an intelligent parking monitoring and management system and a vehicle in-position detection method under a parking mode. The system comprises a vehicle detector, a wireless communication unit and a parking monitoring and management center, wherein the vehicle detector comprises an infrared detection module and a GMI detection module; the vehicle detector is used for carrying out comprehensive processing on a vehicle existence signal, which is detected by the infrared detection module, of a parking space and a vehicle disturbance geomagnetic field magnetic anomaly signal, which is detected by the GMI detection module, of the parking space, generating vehicle information of the parking space, and sending the vehicle information of the parking space to the wireless communication unit; and the parking monitoring and management center is used for processing the received vehicle information of the parking space, and carrying out monitoring, management and charge management on the parking space information according to a processing result. The intelligent parking monitoring and management system and the vehicle in-position detection method under the parking mode are applicable to the technical field of vehicle detection.

The invention discloses a vehicle type accurate classification system and method based on real-time double-line video stream. The system comprises a vehicle body scanning camera, a high-definition capturing camera and a video vehicle detector. The method comprises the steps that the vehicle body scanning camera and the high-definition capturing camera carry out double-line video collecting on vehicles; after vision field calibration, one-to-one-corresponding logic relation of virtual pixel spaces and real physical spaces is established; the vehicles in a vision field are subjected to target separating; and accurate vehicle physical data are given, model rebuilding and three-dimensional measuring are carried out, and vehicle types are finally judged. The system and method have the advantages that two-line high-definition video stream of the vehicle body scanning camera and the high-definition capturing camera, the embedded double-channel video vehicle type detector and a three-dimensional vision vehicle body model rebuilding and fitting mode are used, various parameters of the vehicles can be provided at the same time, and the vehicles are accurately classified.

The invention belongs to the field of urban traffic control, and provides a self-adaptive intersection signal control method. By installing vehicle monitors to detect the number of vehicles, the lengths of vehicle queues are acquired, and a signal control strategy for the next cycle is determined according to the lengths of vehicle queues at an intersection in the previous cycle. The method utilizes the vehicle detectors already arranged in a city to acquire traffic flow data and calculate the length of the queue of each lane, and the signal timing scheme of the next cycle is dynamically adjusted according to the different proportions of queue lengths. Taking a cycle as a unit, a timing scheme is calculated, the load of calculation is low, and moreover, the method also can achieve the purpose that intersection signals can be self-adaptively controlled according to the density of traffic flow. In addition, the algorithm of the method is simple, and the method has low requirement on hardware and construction quantity, and therefore is convenient to popularize.

A system for determining a vehicle operator's level of fatigue comprises a camera for detecting at least the vehicle operator's eyes; an onboard vehicle detector for detecting at least one of vehicle speed, location, activity, acceleration, deceleration, or steering wheel rotation; and a processor which receives information detected by the camera and the onboard vehicle detector and calculates a real-time operator fatigue score based on the received data. The operator fatigue score may further be based on an operator's time of shift, type of vehicle, and current and previous tasks.

The present invention provides a fixed bayonet electron police shoot device, including a CCD close-up vidicon, a panoramic camera, an embedded industrial personal computer, a topomorph floor sensing detector, a L type fixing support, a speed detecting radar for police; the floor sensing coil couples the coil signal in the topomorph floor sensing detector; the topomorph floor sensing detector analyzes the coil sensing signal changes and informs the embedded industrial personal computer by signal; the detecting radar for police real-time detects the vehicle speed, and informs the speed to the embedded industrial personal computer; the embedded industrial personal computer controls the detecting radar for police and detects the speed of the vehicle, when overspeed signal is present, and the vehicle detector acquires processed signal, the embedded industrial personal computer controls CCD close-up vidicon to collect close-up picture, and controls the panoramic camera to collect panoramic picture. The invention greatly improves detecting ratio of the violation of laws of the overspeed vehicle, and processing real-time violation of laws detection, real-time shoot to the bayonet vehicle, no laborer required.

The invention discloses a vehicle management method and management system for an electronic toll collection lane, wherein the method comprises the following steps: detecting the on-board unit information of vehicles to be detected by a road-side unit, arranging a queue for the vehicles to be detected corresponding to the detected on-board unit information, and storing the parameter information of each vehicle to be detected in queue terms; detecting the vehicles to be detected by an auxiliary vehicle detector and a license plate recognition system, and updating the queue according to the parameter information of the vehicles to be detected; and managing the vehicles corresponding to the queue terms in the queue according to the parameter information of the vehicles in the queue.The invention can increase the passing speed of the ETC lane.

The invention relates to an urban intersection traffic signal control method, relates to a multi-phase-jump and vehicle full-dynamic induction traffic control method, and aims to flexibly control traffic signals at intersections by using a traffic signal instrument so as to improve the traffic pass property of vehicles at the intersections and reduce the total delay time of vehicles. The method comprises the following steps: 1) setting an upstream vehicle detector and a parking line vehicle detector at each lane of a traffic intersection, and detecting dissipating vehicle and information of vehicles entering the intersection in real time; 2) according to the numbers of vehicles waiting in different lanes and vehicles running into the intersections, automatically transmitting passing signals to busy lanes by using a busy lane priority pass method through a traffic signal instrument control system so as to induce the vehicles in the lanes to pass prior; 3) by using a method that compatible lanes adopt one same phase and non-compatible lanes are subjected to phase-jump induction control, providing the priority pass right for lanes with a plenty of waiting vehicles or a lane into which a plenty of vehicles run. Due to the adoption of the method, a relatively good induction effect can be achieved at intersections with unsaturated traffic vehicles.

The invention relates to a system for the management of a parking zone with chargeable parking spaces for vehicles, in particular of a parking zone sited at or on a public road, comprising an automatic machine for the payment of a parking fee for a parking space, said machine being assigned to the parking spaces. A parking-zone management system is provided which can indicate the current occupancy status of the parking spaces of the managed parking zone in an up-to-date manner and as accurately as possible, whereby at least one vehicle detector which is configured for determining the occupancy status of the parking space is arranged on each parking space, and whereby communication means, by means of which data representing the occupancy status can be transmitted, is provided for wireless data transmission between each respective vehicle detector and the automatic parking-fee machine.

The invention relates to a geomagnetic detection-based self-organizing intelligent signal control method. The method comprises the following steps that: (1) a vehicle detector detects the traffic flow of each driveway entrance of an intersection and uploads traffic flow data to a signal controller or a background in real time; and (2) the signal controller or the background calculates the average saturation X of each signal phase driveway of the intersection, and controls traffic lights according to the average saturation X. In the method, the vehicle detector detects the traffic flow and uploads the traffic flow information data to the signal controller, and the signal controller calculates the average saturation X of each signal phase driveway of the intersection and controls the traffic lights by adopting a corresponding control mode according to different average saturation X. The method fully utilizes the time of green light, and can effectively eliminates a green light emptiness phenomenon of the intersection and improve traffic efficiency.

The invention discloses a false-detection resistant annular coil vehicle detector comprising an oscillating circuit module, a parameter setting module, a frequency measuring module, a central processing module, an RS-232 communication module and the like. The annular coil is connected with the oscillating circuit module of a vehicle detector through a coupling transformer of 1:1 to form a high-frequency oscillating circuit; the frequency measuring module is used for carrying out shaping and frequency division on an oscillating signal and feeding the finally-calculated signal frequency valve to a singlechip control system; a singlechip is used for sampling a measuring value of the frequency measuring module at regular time; the measuring value is subjected to filter processing and is detected by an embedded vehicle detection algorithm; a detection state is displayed by an LED; and the detection result can be output by a pulse manner or transmitted to an upper computer through an RS-232 bus. The invention improves the design of a threshold detection algorithm, uses a single threshold method for detecting the arrival of the vehicle and uses a flatness determination method for detecting the leaving of the vehicle. In addition, by adopting the invention, the arrival and leaving moments of the vehicle can be accurately detected, the phenomena of false detection caused by multiple false triggers are reduced, and the stability of the system is enhanced.

The invention relates to a highway tunnel illumination energy-saving intelligent control system. In the system, according to a fuzzy neural network control theory, a relation model of the brightness outside a highway tunnel and the brightness of LED (Light-Emitting Diode) tunnel lamps at an inlet and a transition section of a tunnel and a relation model of the brightness of the LED tunnel lamps and the tunnel vehicle flow are established and the intelligent regulation and control of the brightness of the LED tunnel lamps are implemented; the system consists of an outside tunnel brightness detector (1), an in-tunnel brightness detector (3), a vehicle detector (2), signal processing modules (4), an illumination control computer (5), driving power supplies (6) and the LED tunnel lamps (7); and information of the vehicle flow, the vehicle speeds, the outside tunnel brightness and in-tunnel brightness which are acquired by the vehicle detector and the in-tunnel brightness detector and the outside tunnel brightness detector are transmitted to the illumination control computer (5) after being processed by the signal processing modules (4) and the output powers of the LED tunnel lamps (7) are regulated according to a command of the illumination control computer, so that the continuous dimming in the tunnel is implemented. The highway tunnel illumination energy-saving intelligent control system is suitable for illumination energy-saving control of the highway tunnel.

The invention relates to a traffic signal optimization control method for the vehicle queuing overflow state at road intersections, and overcomes the defect that an image monitoring and control signal lamp cannot apply to queuing overflow optimization control compared with the prior art. The method of the invention comprises the following steps: traffic flow parameters of a road intersection are acquired; the queuing length is calculated; the queuing overflow state at the road intersection is judged; and the green light time of an upstream intersection is calculated. The queuing length parameters and queuing overflow events are detected in real time by vehicle detectors installed at the entrances and the exits of road intersections, and balancing of the queuing lengths of all intersections in a region is realized by adjusting the green light time of traffic signal control, thus solving the problem of queuing overflow at intersections.

The invention provides a method and a system for intelligently analyzing vehicle behaviour. The corresponding method comprises the steps of collecting a sample set containing vehicles and a background sample set which does not contain vehicles, selecting predetermined Haar rectangular features to conduct offline training through an AdaBoost algorithm, and obtaining a cascade classifier which can find out vehicles from complicated backgrounds; obtaining video resources, and detecting video resources through the cascade classifier to identify vehicles in images; constructing a vehicle detector with identified vehicles serving as identified positive samples, tracking all vehicles through an optical flow method, and obtaining motion trails of all vehicles; and detecting traffic signs in video resources, combining traffic signs to analyze motion trails of vehicles, and determining whether vehicles violate rules. By the aid of the method and the system, vehicles can be tracked in complex scenarios and dynamic videos, and whether driving of vehicles violates rules can be determined.

The invention discloses a bus rapid transit signal priority timing method under trunk line coordination control. The bus rapid transit signal priority timing method under the trunk line coordination control comprises the following steps that: 1, an annunciator judges whether a bus application is detected by a bus rapid transit vehicle detector, forecasts a moment t1 when a bus rapid transit vehicle reaches a stop line if the bus rapid transit vehicle detector detects the bus application, and otherwise, ends the judgment at the current moment; 2, if the bus rapid transit vehicle detector detects the bus application during phase green light coordination and the bus rapid transit vehicle reaches the stop line at an intersection during the phase green light coordination, the annunciator keepsthe original signal timing constant, and otherwise, performs green light prolonging control; and 3, if the bus rapid transit vehicle detector detects the bus application during phase red light coordination and the bus rapid transit vehicle reaches the stop line at an intersection during the phase green light coordination, the annunciator keeps the original signal timing constant and otherwise, performs green light in-advance turning-on control.