4645 results about "Vehicle detection" patented technology

The invention discloses a vehicle type recognition method based on a rapid R-CNN deep neural network, which mainly comprises unsupervised deep learning, a multilayer CNN (Convolutional Neural Network), a regional advice network, network sharing and a softmax classifier. The vehicle type recognition method realizes a framework for implementing end-to-end vehicle detection and recognition by using one rapid R-CNN network in a real sense, and is capable of carrying out quick vehicle sub-category recognition with high accuracy and robustness under the environment of being applicable to the shape diversity, the illumination variation diversity, the background diversity and the like of vehicle targets.

A system for detecting a collision in an intersection. The system includes a plurality of vehicle detection sensors, a base station and a warning signal apparatus. The plurality of vehicle detection sensors are positioned preceding the intersection for detecting and transmitting velocity and position data of at least two vehicles. The base station is for receiving the velocity and position data of the vehicles so as to process the velocity and position data of the vehicles to determine the probability of the vehicles colliding. The base station transmits a warning signal when the probability exceeds a threshold. The warning signal apparatus is positioned preceding the intersection. The warning signal receives the warning signal from the base station to alert a driver of one of the vehicles of an imminent collision.

To improve a safety of a driving by a person of advanced age without imposing a burden on the driver.An age estimation device, based on a facial image photographed by a photographing device, estimates an age of a driver. An inattentiveness detection device sets conditions of detecting an inattentiveness to be laxer in order that it becomes easier to detect the inattentiveness as the driver's age rises. In the event that the driver's age is of an advanced age group, an obstacle detection warning unit accelerates a timing of warning of an approximation to an obstacle, an other vehicle detection warning unit accelerates a timing of warning of an approximation to another vehicle, a cornering control unit, when the vehicle itself turns right, controls a cornering in such a way that the vehicle itself passes through a trajectory outside a normal one, and a left and right check warning unit gives a warning when the driver does not make a left and right check at an intersection. The invention can be applied to a driving support apparatus.

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

A vehicle detection and classification sensor provides accurate 3D profiling and classification of highway vehicles for speeds up to 100 mph. A scanning time-of-flight laser rangefinder is used to measure the distance to the highway from a fixed point above the road surface and then measure the distance to the surfaces of any vehicle that is viewed by the sensor. The beam is pulsed at a high repetition rate for determining vehicle speeds with a high accuracy and uses the calculated speed and consecutive range measurements as the vehicle moves past the sensor to develop a three-dimensional profile of the vehicle. An algorithm is applied to the three-dimensional profile for providing a vehicle-classification. A laser is also used to count the number of axles associated with the vehicle.

A system and method for detecting and tracking an object is disclosed. A camera captures a video sequence comprised of a plurality of image frames. A processor receives the video sequence and analyzes each image frame to determine if an object is detected. The processor applies one or more classifiers to an object in each image frame and computes a confidence score based on the application of the one or more classifiers to the object. A database stores the one or more classifiers and vehicle training samples. A display displays the video sequence.

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.

A system for detecting a collision in an intersection includes a plurality of vehicle detection sensors, a base station and a warning signal apparatus. The plurality of vehicle detection sensors are positioned preceding the intersection for detecting and transmitting velocity and position data of at least two vehicles. The base station is for receiving the velocity and position data of the vehicles so as to process the velocity and position data of the vehicles to determine the probability of the vehicles colliding. The base station transmits a warning signal when the probability exceeds a threshold. The warning signal apparatus is positioned preceding the intersection. The warning signal receives the warning signal from the base station to alert a driver of one of the vehicles of an imminent collision.

A method for detecting and tracking vehicle based on video camera and computer system includes obtaining preliminary edge object region by carrying out global domain value division on obtained difference image of background edge and front ground edge then carrying out interclass variance domain value division on intensified difference image to obtain preliminary object region, forming object region based on integration, carrying out expansion calculation and corrosion calculation on object region to pick up object character, carrying out object identification then locking and tracking object in real time to form object trace.

A method and system for detecting and tracking objects near a vehicle using a three dimensional laser rangefinder. The method receives points from the laser rangefinder, where the points represent locations in space where the rangefinder senses that some object exists. An algorithm first estimates the location of a ground plane, based on a previous ground plane location, data from onboard sensors, and an eigenvector calculation applied to the point data. Next, a plan view occupancy map and elevation map are computed for stationary objects, based on point data in relation to the ground plane. Finally, dynamic objects are detected and tracked, sensing objects which are moving, such as other vehicles, pedestrians, and animals. The output of the method is a set of stationary and dynamic objects, including their shape, range, and velocity. This output can be used by downstream applications.

Charging stations, systems for charging and identifying electric vehicles, and methods for detecting and providing charging information of a vehicle are provided. The charging stations include vehicle detectors, charging connectors, and system controllers to estimate the state of charge of a vehicle based on current measurements from the charging connectors and then to output charge status signals if the state of charge is at or above a predetermined energy level and the vehicle is detected as being properly positioned by the vehicle detectors. These results may be output to indicators, computers, and network connections. Also disclosed are systems where the vehicle has a vehicle information device readable by the vehicle detector to obtain vehicle data that is transmitted to the system controller and other components of the system. Methods of monitoring current, estimating state of charge, and providing a charge status signal if certain conditions are also present.

The invention discloses a parking position detecting device of an intelligent parking system. The parking position detecting device comprises a sensor unit, a signal processing unit, and a man-machine interface unit. The sensor unit comprises four wide-angle cameras and an ultrasonic ranging sensor. The signal processing unit comprises an annular view generation module and a parking position detecting module. The man-machine interface unit comprises an output module used for displaying an annular view and detected garage positions, and an input module used for receiving various commands inputted by a driver. The parking position detecting module comprises a garage position line detection submodule, an obstacle vehicle detection submodule and a parking position output submodule. The invention further discloses a parking position detecting method of the intelligent parking system. A low-cost sensor scheme is adopted, accuracy and precision of parking position detection are improved by mixing distance value obtained by the ultrasonic ranging sensor with image information collected by the cameras, and parking positions can be effectively detected under multiple conditions that garage lines and obstacle vehicles exist on a ground.

Provided are a driving support device, a driving support method, and a program, in which the driver can more intuitively and accurately determine the distance to another vehicle in the side rear. A driving support device (100) is provided with an image-capturing section (110) for capturing side rear images of the vehicle, a distance measuring section (120) for measuring the distance between the vehicle and the another vehicle, and a vehicle detection section (130) for detecting the another vehicle in the captured images, wherein a superimposed image generating section (140) calculates the distance of units of the vehicle length units on the basis of information concerning the vehicle length stored in a vehicle length information storage section (150) and the distance to the another vehicle detected by the distance measuring section (120), and generates a superimposed image on the basis of the calculated distance. A display image generating section (160) synthesizes the generated superimposed image on a side peripheral image including the captured side rear images, and displays the image on a display section (170) installed in a position at which the field of front vision of the driver is not obstructed.

The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control. The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle. Information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.

An electronic parking meter and vehicle detecting sensor 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, without the need to enter payment into the parking meter by an individual.

A solution for evaluating a vehicle using infrared data is provided. In particular, evaluation data for the vehicle is obtained, which includes infrared data for a plurality of sides of the vehicle as well as vehicle identification data for distinguishing the vehicle from another vehicle. The infrared data is processed to enhance a set of signal features. Additional non-infrared based data also can be obtained for evaluating the vehicle. The evaluation data is analyzed to determine whether one or more anomalies are present. The anomaly(ies) can be correlated with a possible problem with a component of the vehicle. Data on the anomaly, problem, and / or vehicle identification can be provided for use on another system, such as a remote inspection station, maintenance system, and / or the like.

Adaptive vision-based vehicle detection methods, taking into account the lighting context of the images are disclosed. The methods categorize the scenes according to their lighting conditions and switch between specialized classifiers for different scene contexts. Four categories of lighting conditions have been identified using a clustering algorithm in the space of image histograms: Daylight, Low Light, Night, and Saturation. Trained classifiers are used for both Daylight and Low Light categories, and a tail-light detector is used for the Night category. Improved detection performance by using the provided context-adaptive methods is demonstrated. A night time detector is also disclosed.

The invention discloses vehicle failure detection method and device, relating to a method and a device for realizing vehicle failure detection by using a smart phone. Failure detection software operating on the smart phone proposes a vehicle failure detection request, and the detection request is sent to a vehicle failure detection communication converter through a Bluetooth interface or a USB interface of the smart phone. The vehicle failure detection communication converter is directly connected with a vehicle detection port, and is used for converting the detection request from the smart phone into corresponding signals according to the requirements for application layers, data link layers, physical layers and the like specified by ISO 15031-5 and sending the corresponding signals to a vehicle electronic control unit (ECU) so as to realize vehicle failure detection. Meanwhile, the vehicle failure detection communication converter returns the feedback information of the vehicle electronic control unit (ECU) to the smart phone, and the feedback information is displayed by the smart phone.

Adaptive vision-based vehicle detection methods, taking into account the lighting context of the images are disclosed. The methods categorize the scenes according to their lighting conditions and switch between specialized classifiers for different scene contexts. Four categories of lighting conditions have been identified using a clustering algorithm in the space of image histograms: Daylight, Low Light, Night, and Saturation. Trained classifiers are used for both Daylight and Low Light categories, and a tail-light detector is used for the Night category. Improved detection performance by using the provided context-adaptive methods is demonstrated. A night time detector is also disclosed.

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 relates to a laser radar and machine vision-based information fusion and vehicle detection system. The system comprises a millimeter-wave radar data processing module, a radar and visiondata fusion module and an air of interest-based image detection and verification module, wherein the millimeter-wave radar data processing module is capable of obtaining a relatively reliable and accurate effective target and movement state information of the effective target to serve as input of a multi-sensor data fusion module; the radar and vision data fusion module is capable of obtaining aprojection point, on a machine vision image pixel plane, of a front vehicle detected by millimeter-wave radar, establishing an area of interest around the projection point and completing multi-sensordata space fusion; and the image detection and verification module is capable of correctly positioning the size and position of an imaging area of the front vehicle and verifying whether the imaging area is a vehicle image or not. According to the system, barriers in front of vehicles can be effectively detected, and effective tracking targets can be correctly, stably and reliably screened throughcarrying out data analysis and processing on data acquired by sensors.

The invention provides an automatic vehicle detection method based on deep learning. The automatic vehicle detection method based on deep learning can utilize a convolution neural network to automatically extract the vehicle characteristics in the traffic environment so as to eventually realize automatic detection and identification of a vehicle target. The automatic vehicle detection method based on deep learning can be applied to different environments, different illumination intensities and different weather situations, and can guarantee higher accuracy for detection for a vehicle in a complicated traffic environment, and provides a new real-time reliable preprocessing step for identifying and tracking the vehicle target for the subsequent video monitoring.

A portable communication device detects a current speed of travel of the portable communication device independent of any vehicle temporarily transporting the portable communication device. A speed based setting controller of the portable communication device compares the current speed to at least one threshold value set at the portable communication device. Responsive to the current speed exceeding the threshold value, the speed based setting controller automatically assigns a separate speed based setting to a current setting for each feature assigned to the threshold value, wherein each current setting for each feature designates the operability of that feature within the portable communication device, such that the current setting for each feature adjusts with a speed of travel as detected by the portable communication device.

In an automobile drive recorder, if a detection signal indicating an occurrence of an abnormal driving state is output by an abnormal state detection sensor, image data of a scene taken by a monitoring camera is recorded for a period with a particular length together with additional information associated with the driving state into a record memory as drive record data. The automobile drive recorder includes a magnetic sensor serving as the abnormal state detection sensor adapted to detect a magnetic field in a close region around the automobile, approaching vehicle detection means for detecting an abnormally approaching vehicle by detecting a change at a rate greater than a predetermined value in the signal level of the detection signal output by the magnetic sensor, and frame rate switching means for controlling the frame rate at which to record the image data.

The invention provides an image processing system capable of precisely locating the positions of the light spots covering near headlights through far tail lamps by using one camera. The invention, discriminating the headlights and tail lamps from noise lights such as a traffic light, streetlight, and vending machine, enhances the vehicle detection performance at night. The system includes an image input means that inputs images in front of a vehicle, an image analysis means that analyzes the images inputted by the image input means. The image input means has a means of photographing more than two images with different exposures. The image analysis means analyzes the images photographed by the image input means to transform them into the position information of the vehicles traveling in front.

A universal adaptor for use with electronic parking meters which provides these electronic parking meters with the ability to detect the presence of a parked vehicle and to adjust the position of the detector for accomplishing the vehicle detection, to gather statistics on the parking spaces and the meters, to alert the parking authority of meters that are expired in connection with vehicles still parked, and zeroing the remaining time off of any meter once the parked vehicle departs.

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.

The invention relates to a night preceding vehicle detection method based on a millimeter-wave radar and machine vision, which belongs to the field of vehicle control. The night preceding vehicle detection method comprises the following steps: (1) performing camera calibration, so as to obtain a projection matrix of world coordinates to image pixel coordinates, establishing a transition relation between a radar coordinate system and a world coordinate system, and converting radar coordinates into the image pixel coordinates; (2) resolving received millimeter-wave radar data, excluding false targets and determining effective targets through data processing, and synchronously collecting camera images; (3) projecting radar scanning points under the world coordinate system to an image pixel coordinate system, and establishing an region of interest (ROI) on the images according to projective points; (4) detecting whether a vehicle exists in the region of interest based on an image processing method. Compared with the prior art, the night preceding vehicle detection method has the characteristics of fusion of the millimeter-wave radar and the machine vision, high real-time performance and high accuracy.

A vehicle identification system. The system includes an electronic access card for storing information associated with a user of the electronic access card, a card reader for receiving the electronic access card and for reading the associated information and a display for receiving at least a portion of the associated information from the card reader and for displaying the portion of associated information when the user operates a vehicle. The display is located on the vehicle, and the displayed information includes at least a unique identifier assigned to the user of the electronic access card. In one arrangement, the unique identifier assigned to the user of the electronic access card can be transferrable to other vehicles such that the identifier can be displayed on any vehicle having the card reader and the display when the user operates such vehicle.