368results about How to "Reduce false detection" patented technology

A method and apparatus for detecting a spread spectrum signal is described. Signals can be detected using correlation techniques. When a signal is detected, declaring of signal presence is inhibited for offsets of signal parameters from the parameters of the detected signal, where the offset corresponds to a known sidelobe of the spreading code. This helps to reduce false detections caused by sidelobes of the spreading code.

Adventitious lung sounds indicative of lung congestion are detected using an implantable sensor. The sensor is adapted to be positioned adjacent to a pulmonary system and to output signals indicative of lung sounds in response to pulmonary system activity. A controller receives the signals and processes the signals to detect the presence of adventitious lung sounds. A respiratory cycle sensor operating in conjunction with the lung-sound sensor enables classification of an adventitious lung sound according to its time occurrence within the respiratory cycle. Posture sensing in conjunction with lung-sound sensing provides valuable additional information as to the severity of the lung congestion.

There is provided an environment recognizing device for a vehicle capable of reducing false detections for an artificial object such as a utility pole, a guardrail and road paintings with smaller processing load, at the time of detecting a pedestrian by using a pattern matching method. The environment recognizing device for a vehicle includes an image acquisition unit (1011) for acquiring a picked up image in front of an own vehicle; a processing region setting unit (1021) for setting a processing region used for detecting a pedestrian from the image; a pedestrian candidate setting unit (1031) for setting a pedestrian candidate region used for determining an existence of the pedestrian from the image; and a pedestrian determination unit (1041) for determining whether the pedestrian candidate region is the pedestrian or an artificial object depending on a gray-scale variation rate in a predetermined direction within the pedestrian candidate region.

A rangefinder and method are provided for measuring a distance between the rangefinder and a target by measuring the flight time of a beam reflected from the target. In an embodiment, a receiver having reduced noise detects weak reflections from distant targets or targets with poor reflectivity. The receiver generates a voltage signal proportional to a reflected beam, clamps the voltage signal to remove a portion of the noise therefrom, and compares the voltage signal to a threshold. In some embodiments, the receiver also filters the voltage signal to remove a portion of the noise therefrom. In an embodiment, the sensitivity of the receiver is increased as a function of time to reduce the likelihood of detecting stray reflections from objects other than the intended target. In some embodiments, the rangefinder collects calibration data with each range measurement or group of range measurements. The calibration data comprise a plurality of simulated range measurements.

A forest fire smoke detection method using random forest classification is provided. In the method, a first reference value is set. For consecutively captured frames, images between the frames are compared, each block, in which a number of pixels, motions of which have been identified, is equal to or greater than the first reference value, is set as a candidate block, and a keyframe is selected. The selected keyframe is compared with at least one frame previous to the keyframe and then a plurality of feature vectors are extracted from the candidate blocks. The extracted feature vectors are learned using different random forest algorithms. Probabilities output to terminal nodes for classes are accumulated, and two first cumulative probability histograms are generated. The two first cumulative probability histograms are averaged, and then a second cumulative probability histogram is generated. A detected state of each candidate block is determined.

The invention provides a rapid distance-measuring method for pedestrian on a road ahead on the basis of an on-board binocular camera and discloses a binocular detecting and distance-measuring method for a pedestrian applicable to an automatic driving system. The method comprises the steps: training a pedestrian detecting model by means of a pedestrian detecting method based on study, and detecting pedestrians in a binocular scene by means of the pedestrian detecting model; calculating a matching point of a point, chosen from the detection result of a left image, in a right image according to a color characteristic and a scale-invariant characteristic, and calculating a parallax value between matching pairs; obtaining an accurate parallax value of the detection result by means of a parallax mid-value searching method, and calculating a distance between the pedestrian and the camera according to a geometrical relationship between a camera coordinate system and an image coordinate system. With respect to the problems of slow calculation speed and inaccurate distance measurement in the present pedestrian detecting and distance-measuring method for a pedestrian based on the binocular camera, the method accelerates the detection speed by means of a road column-like model; and the distance-measuring accuracy of pedestrians in a road scene is improved by means of the matching of many characteristic points.

To detect faces contained in an image with changing position, inclination and orientation of a face to be detected, an indicator value for each position, inclination and orientation is calculated, which indicates probability of a partial image at the position being a face image having the inclination and the orientation. Then, the partial images having the indicator values not less than a first threshold are extracted as candidates. When a predetermined evaluation value indicating reliability of a certain candidate having a predetermined inclination and a first orientation is not less than a predetermined threshold value, another candidate having the predetermined inclination and a second orientation is discriminated as being a true face. When the candidates having the indicator values not less than a second threshold are discriminated as being true faces, the second threshold is lowered for another candidate having the predetermined inclination and a second orientation for discrimination.

Examples of the invention include radar apparatus having at least two phased array transmitters, each having a different elevation corresponding to heights of detected targets relative to the road surface. A low elevation transmit beam is directed at the road surface, and used to identify metal objects in the road surface, which often cause false detections in conventional devices but may not be actual collision hazards. A higher elevation transmitted beam is used to detect actual collision hazards to the vehicle.

A face detection apparatus associated methodology is provided to generate an output indicating a likelihood of a region of an image containing a face. The apparatus includes a comparing device for comparing the region with face data that indicates a presence of the face and for detecting respective likelihood values indicating the likelihood of the region containing the face in a group of respective different face size. A control device is provided for modifying at least one of the group and the likelihood values based on a face size or a range of face sizes appropriate to at least one classification of the image. The control device is responsive to metadata associated with the image that define the at least one classification of the image. The image is a part of a video sequence, and at least one classification includes a video program type.

The invention provides a parking assisting method. The method includes: adopting a camera for online real-time image data acquisition, correcting image data to generate an aerial view, and segmentingthe aerial view; detecting out all straight lines according to a straight line detection algorithm; adopting an exclusion algorithm for intersection point neighborhood binary horizontal and perpendicular gradient calculation of all intersection points of the straight lines, and judging whether gradients are larger than a second threshold or not; obtaining parking space data according to parking space angle points; acquiring the vehicle speed, vehicle position and posture and coordination information, calculating world coordinates of a parking space according to a relative position relation between the parking space and a vehicle, performing path planning according to the world coordinates, and entering a parking mode. In a vehicle parking process, real-time correction of the parking spaceis performed according to an image processing algorithm, and a high-accuracy high-success-rate parking assisting function is realized. In addition, due to adoption of a novel parking space detection algorithm, parking space detection errors can be effectively reduced.

A liquid container includes: a case in which a flow channel of a liquid is exposed from an opening; a sensor base, disposed in the opening of the case to face the flow channel; a sensor chip, including: a piezoelectric element, mounted on a surface opposite to a surface of the sensor base which faces the flow channel; and a sensor cavity, disposed opposite to the piezoelectric element and adapted to receive the liquid as a detection target; a film, adapted to hold the sensor base in the opening and sealing the opening; a partition wall, partitioning the flow channel in the case into an upstream buffer chamber and a downstream buffer chamber; and a bubble trapping section, disposed upstream of the upstream buffer chamber. The bubble trapping section includes: a bubble trapping chamber, adapted to trap bubbles upside by allowing the liquid level to be lowered with reduction in an amount of remaining liquid at a time of consuming the liquid; an inlet, communicating at a vertical upper position of the bubble trapping chamber to introduce the liquid at the time of consuming the liquid; and an outlet, communicating at a vertical lower position of the bubble trapping chamber to discharge the liquid at the time of consuming the liquid.

The invention discloses a voice activity detection method in complex background noise. The method sequentially comprises the following steps of: (1) performing TEO (Teager Energy Operator) operation on data; (2) pre-weighting input data x(n); (3) performing band-pass filtering; (4) framing and windowing; (5) calculating an evolution value of autocorrelation of each frame and a standard variance thereof; (6) calculating Stati of 20 frames at the initial stage, and a mean (Stati) and a standard variance std (Stati) thereof, comparing the std (Stati) with a preset threshold to judge whether voice is available; (7) calculating subsequent data; (8) calculating Stati of continuous FrameN frames, and performing secondary determination according to the mean (Stati) and the standard variance std (Stati) thereof; (9) considering that the speech interval Speechmin is equal to 100-200ms and duration Silencemin is equal to 500-1,000ms, judging that voice occurs under the condition that Statusfinalis equal to 0 when continuous Ns (the value is related to the FrameN) atatus is equal to 1; and judging that the voice is ended under the condition that Statusfinal is equal to 1 when continuous NE (the value is also related to the FrameN) atatus is equal to 0, and finally judging actual end points of the voice.

A steering angle sensor for a vehicle including a steering angle sensor housing, a first gear, a rotation transmitting portion, a second gear meshing with the first gear, a third gear meshing with the first gear or the second gear, first and second magnetoresistance effect elements to detect first and second rotation angles as rotation angles of the second and third gears, respectively, and a biasing member disposed in the steering angle sensor housing to bias the first gear toward the second gear, wherein the first and rotation angles are combined to determine an absolute steering angle indicative of an amount of rotation of a steering wheel when the steering wheel is rotated from a neutral position in which a steerable road wheel is oriented to a straight ahead direction of the vehicle.

A medium processing device is provided having a front panel which is formed with an aperture where a magnetic recording medium is inserted into or ejected from and which partitions an outside of a device from an inside of the device. A magnetic head is provided in the inside of the device for writing or reading information in or from the magnetic recording medium a shading filter is provided in at least one part of the front panel for shading visible light and a foreign matter detecting mechanism is provided on an inner side of the device with respect to the shading filter for detecting a foreign matter that is attached to the outside of the device.

The invention relates to the technical field of medical image processing, and aims to provide a dynamic ultrasonic breast nodule real-time segmentation and recognition method based on deep learning. The method comprises the following steps: collecting ultrasonic mammary gland images and videos with nodules and case data with operative pathology results, constructing a data set, constructing a static image nodule segmentation network, and training the static image nodule segmentation model on an original image; predicting an intermediate frame nodule probability by using an LSTM layer, constructing a video dynamic segmentation network, and training a dynamic segmentation model; constructing a benign and malignant identification network structure by using a basic network, and training a benign and malignant identification model; and outputting nodule position information in real time, using the benign and malignant recognition model for recognizing benign and malignant nodules of each frame, and outputting the number of output nodules and the comprehensive benign and malignant probability after examination is finished. Information incompleteness of a single image can be avoided, error detection is reduced, missing small nodules are reduced, and the nodule benign and malignant identification accuracy is improved.

An origin position signal detector comprising: a rotary or linear scale (1) which includes an incremental track (3) magnetized at equal intervals and an origin position detection track (4) for detecting an origin position, and a magnetic sensor (5) which detects magnetic fields from the scale. The origin position detection track includes an origin position magnetized portion (11) and side magnetized portions (12) provided on both sides of the origin position magnetized portion (11) and magnetized with magnetization in the same direction at one or more positions as the origin position magnetized portion (11).

An object of the present invention is to provide a vehicular input device which is capable of improving accuracy for detecting a contactless input from a driver. A vehicular input device includes a contactless operation detecting unit for detecting a contactless operation on a center display, distance detecting units, distance information storing units in which distance information items obtained from the distance detecting units are stored for each of the distance detecting units, a proximity object determining unit for determining whether or not an object is in proximity of any of predetermined specific positions in a vehicle based on the stored distance information items, and a detecting operation controlling unit for limiting the detection by the contactless operation detecting unit when the object is determined to be in the proximity of any of the specific positions.

In vehicle-lane boundary line detection, low-luminance values are acquired from areas corresponding to below a tire and directly below a vehicle center based on a road surface image. A snow rut degree is calculated based on a luminance ration between the areas. A probability is calculated from a map based on the calculated snow rut degree. A parameter indicating the degree of snow rut likeness is calculated by a low-pass filtering process. A snow rut determination is made by the calculation result being compared with a predetermined threshold. A final determination of whether or not a snow rut is present is made, with reference to an outside temperature. When determined that a snow rut is present, a determination is made not to perform the detection. When determined that a snow rut is not present, a determination is made to perform the detection.