384 results about "Blind spot" patented technology

An exterior rearview mirror system for a vehicle includes an exterior mirror assembly that is mountable at an exterior side of a vehicle and has an inboard portion that is viewable by a driver of the vehicle when the mirror assembly is mounted at the exterior side of the vehicle. A blind spot indicator is disposed at the inboard portion of the mirror casing of the mirror assembly. The blind spot indicator comprises at least one illumination source for indicating to the driver a detected presence of an object alongside of and / or rearward of the vehicle. The indicator may comprise a unitary indicator module that is mountable at the inboard portion of the mirror assembly. The indicator module includes an illumination source and circuitry and is connectable to an electrical connector.

A method of monitoring a blind spot of a monitoring vehicle by using a blind spot monitor. The method includes steps of: the blind spot monitor (a) acquiring a feature map from rear video images, on condition that video images with reference vehicles in the blind spot are acquired, reference boxes for the reference vehicles are created, and the reference boxes are set as proposal boxes; (b) acquiring feature vectors for the proposal boxes on the feature map by pooling, inputting the feature vectors into a fully connected layer, acquiring classification and regression information; and (c) selecting proposal boxes by referring to the classification information, acquiring bounding boxes for the proposal boxes by using the regression information, confirming whether the bounding boxes match their corresponding proposal boxes, and determining whether the monitored vehicle is in the proposal boxes to determine the monitored vehicle is in the blind spot.

The invention relates to a bionic navigation method and a navigation positioning system based on remote sensing sky polarization mode patterns. The method comprises the following steps: simultaneously measuring three images of light intensity of sky light by adopting a full-sky polarization remote sensing measurement method, and solving a polarization degree and a polarization azimuth angle which describe the polarization state of the sky light, thereby obtaining the remote sensing sky polarization mode patterns; analyzing each influence factor of the polarization degree and polarization azimuth angle in the remote sensing sky polarization mode patterns by adopting a full-sky polarization light measurement method, thereby obtaining the external conditions which are most suitable for polarization navigation; solving the sun azimuth angles at different time by combining celestial navigation theory knowledge, and amending the included angle between the sun meridian and a carrier by utilizing the sun azimuth angles, thereby obtaining a course angle taking geographical north and south as the reference directions; and processing the polarization navigation blind spot by adopting the combined navigation mode of a GPS (global positioning system) navigation mode and a polarization navigation mode. The bionic navigation method and navigation positioning system based on remote sensing sky polarization mode patterns can be widely applied to the measurement and research of navigation positioning under different conditions, and is a special new technology which enables the remote sensing observation image to serve the navigation positioning method and system by utilizing the bionic means.

A panoramic view system for eliminating blind spots in a vehicle includes: at least two video cameras, a panoramic screen, a panoramic controller, such that the panoramic screen shows a combined video stream from the video cameras, which provides a driver with a panoramic rear-view of the vehicle surroundings without any blind spots. The panoramic controller includes a processor, a non-transitory memory, an input / output, and a video manager. Also disclosed is a method for automotive panoramic viewing, including receiving video, combining video streams, and viewing a panoramic video stream.

Parking assist devices, methods, and programs determine a current position of a vehicle and acquire image data from a camera provided on the vehicle. The devices, methods, and programs extract a predetermined region of the acquired image data, the predetermined region being a portion of the image that will be in a blind spot of the camera if the vehicle travels a first predetermined distance from the current position. The devices, methods, and programs correlate the extracted image data with the current position of the vehicle and cause the correlated extracted image data to be stored in a memory. The devices, methods, and programs read out past correlated extracted image data, the past correlated extracted image data having been acquired when the vehicle was in a previous position, the previous position being a second predetermined distance from the current position. The devices, methods, and programs output a parking assist image to a display, the parking assist image displaying both the past correlated extracted image data, and the image data acquired at the current position of the vehicle.

The invention discloses an unmanned aerial vehicle platform-based port real scene monitoring system and method. The system comprises a unmanned aerial vehicle platform sub-system and a ground command, monitoring and control sub-system; the unmanned aerial vehicle platform sub-system carries out omnibearing, zero-dead angle, near-distance and target trackable real-time monitoring on each region of a port; and the ground command, monitoring and control sub-system is used for controlling the operation of the unmanned aerial vehicle platform sub-system and receiving and analyzing information acquired by the unmanned aerial vehicle platform sub-system. According to the unmanned aerial vehicle platform-based port real scene monitoring system and method of the invention adopted, a four-rotor unmanned aerial vehicle platform is adopted as a carrier; and since the four-rotor unmanned aerial vehicle platform is simple in structure, can hover to avoid an obstacle and carry task load, the defects of traditional analog monitoring product equipment or network high-definition monitoring equipment due to factors such as visual blind spots, weather environment and maintenance and updating can be eliminated, and omnibearing, zero-dead angle, near-distance and target trackable real-time monitoring can be performed on each region of the port.

The present invention discloses a monitoring system and a method for realizing omnibearing blindspotless monitoring. The system comprises a video monitoring center and a plurality of cameras connected thereto. A custom monitoring level configuration module and a custom monitoring level response module are arranged on the video monitoring center. The custom monitoring level configuration module sets the monitoring level for different angles or positions. The number of the cameras for monitoring different angles or positions is configured according to the monitoring level. The custom monitoring level responses to the working state of the real-time monitoring camera and carries out a real-time response according to the real-time monitoring result. The method adopts the redundancy mechanism and adopts a plurality of cameras to monitor one angle of a monitored area. When some cameras do not work normally, the monitoring center can monitor the result in real time and carry out response, and enables a backup camera, automatically or through the intervention of a user, and thus the realization of the omnibearing blindspotless monitoring can be ensured and the integrity and the reliability of the monitoring information can be ensured.

The invention discloses a leaking natural gas distribution mapping system based on an unmanned gyroplane. A plated grillage, a flight control unit, a pan-tilt, a TDLAS methanol laser sensor and a wireless data transmission communication module are arranged in an unmanned gyroplane body; the flight control unit measures the position and the attitude of the unmanned gyroplane and executing an instruction from a ground station; the TDLAS methanol laser sensor realizes the scanning measurement action at a fixed cycle; the unmanned gyroplane acquire gas concentration integral data and record lightpath information at measurement point locations and transmits the data and the light path information to a ground PC terminal; the space area is divided into three-dimensional grids, and gas distribution mapping is performed on the three-dimensional space area with a computer aided tomography technology; filling is performed on gas concentration information of to-be-measured blind spots with a core extrapolation technology. The gas concentration information can be detected remotely and mapping can be performed on gas distribution states of three-dimensional environments.

A method for warning a vehicle of a risk of lane change is provided. The method includes steps of: (a) an alarm device, if at least one rear image captured by a running vehicle is acquired, segmenting the rear image by using a learned convolutional neural network (CNN) to thereby obtain a segmentation image corresponding to the rear image; (b) the alarm device checking at least one free space ratio in at least one blind spot by referring to the segmentation image, wherein the free space ratio is determined as a ratio of a road area without an object in the blind spot to a whole area of the blind spot; and (c) the alarm device, if the free space ratio is less than or equal to at least one predetermined threshold value, warning a driver of the vehicle of the risk of lane change.

Disclosed are a system for controlling a host vehicle including one or more image sensors and one or more radar sensors and controller configured to recognize a target vehicle and measure a front coordinate of the target vehicle and generate a warning according to whether the front coordinate of the target vehicle is located in a preset blind spot alert area of the host vehicle. The present disclosure may determine whether to activate an warning based on a front coordinate of a target vehicle and prevent a malfunction when activating the warning, thereby providing a driver with driving safety and driving convenience.

The invention relates to a counterfeit invisible general commodity bar code or dot matrix and a checking method by using a mobile phone. A group of colored bar codes or dot matrixes are decomposed and arrayed on a micro-lens focus plane in a range of optical blind spots pre-calculated by the angle relative to a micro-lens optical axis and a watch distance by using the optical function of a micro-optical lenticulation counterfeit mark, so that the optical function of the micro-lens can ensure that invisible colored bar codes cannot be seen in a general watch distance. During checking, the mark is photographed in a micro distance by using the mobile phone with the function of photographing; and since the optical projection angle is changed, a lens of a camera can be used for recombining and displaying the decomposed colored bar codes on a screen, and a consumer can check the truth of commodities by contrasting colored reference bar codes of the commodities. Meanwhile, the consumer can transmit pictures of the colored bar codes back to an established counterfeit control center for checking; and a server of the counterfeit center can automatically search and check the counterfeit of products after receiving the bar codes of the mobile phone and querying and transmitting relevant data of the products to the mobile phone in real time.

The present disclosure relates to a system and method of alarm for a vehicle. The present disclosure describes a alarm system for a vehicle for allowing a driver to practice a defensive drive in a weather environment which is hard to recognize the situation around the vehicle. An embodiment provides a alarm system for a vehicle including a camera operable to be disposed at the vehicle so as to have a field of view exterior of the vehicle, where the camera configured to capture image data, an image processor operable to process image data captured from the camera; a plurality of sensors disposed at the vehicle for sensing at least one of a front, side, or rear so as to capture sensing data, an alarm device for alerting a driver when detecting an object located in blind spot of the rear of the vehicle, and controller including at least one of processor configured to process at least one of (i) processing result of the captured image data and (ii) sensing data captured by the plurality of sensors.

The invention provides a self-adaptive digital pre-distortion system based on a reference signal and an initialization correction method. A series of pre-distortion initialization parameters are obtained through introducing a reference signal generator module to a numeric field and carrying out initialization training on the pre-distortion system based on the reference signal; and when the non-linear change of a power amplifier triggers a correction enabling signal, the pre-distortion system is corrected based on the reference signal to obtain a corresponding pre-distortion parameter. The blind spot problem of the traditional pre-distortion system is solved, the non-linear change of the power amplifier can be precisely tracked, all transmission signals are guaranteed to be subjected to pre-distortion processing, and the reference signal is higher in flexibility in format, in length and in frequency band.

The invention provides an automatic detection device and detection method of pin shrinkage of an aviation electrical connector contact, and belongs to the technical field of electrical connectors. Theinvention aims at solving the problems of numerous blind spots and inaccurate visual positioning of substations caused by manual inspection. The automatic detection device of the pin shrinkage of theaviation electrical connector contact provided by the invention comprises a detection platform and an upper computer; a motor is driven by the upper computer to drive a three-dimensional movement mechanism to move so as to drive a visual detection mechanism and a pin shrinkage detection mechanism to move to perform movement on an electrical connector to be tested installed on an electrical connector mounting mechanism; and the pin shrinkage detection mechanism sequentially contacts each contact pin on the electrical connector to be tested, applies a constant force to each contact pin, simultaneously obtains the displacement value of each contact pin and uploads the displacement value to the upper computer, and the upper computer generates a measurement table based on the displacement value, and judges whether the contact pin generates a pin shrinkage phenomenon according to the displacement value to completes the automatic detection process. The automatic detection device provided bythe invention is used for performing automatic detection on electrical connector contacts.

The invention discloses an adaptive automobile headlamp and a control method thereof. The adaptive automobile headlamp comprises a headlamp body, a headlamp horizontal steering motor, a headlamp vertical steering motor, a photosensitive sensor, an infrared distance sensor, a steering wheel rotation angle sensor, an automobile yaw angular velocity sensor, a vehicle body height sensor at a front wheel, a front wheel vertical velocity sensor and an ECU (Electronic Control Unit) control module. During work, the ECU control module controls automatic turn-on and turn-off of the headlamp according to the photosensitive sensor, controls automatic switching of high beam and low beam according to a signal of the infrared distance sensor and drives the headlamp horizontal steering motor and the headlamp vertical steering motor according to signals of the steering wheel rotation angle sensor, the automobile yaw angular velocity sensor, the vehicle body height sensor at the front wheel and the front wheel vertical velocity sensor, so that the headlamp irradiates in the special direction when an automobile turns around and climbs or gets down a slope. According to the invention, the blind spot vision of drivers under complex road conditions can be reduced and even eliminated.

The present invention relates to a shock sensing device for vehicle and method for controlling thereof. The present invention comprises, at least one shock sensing sensor installed in a vehicle, at least one camera wherein rotates to a predetermined direction when shock sensing signal is generated from the shock sensing sensor and installed to film at least one direction of front or back of a vehicle, an image processing unit wherein recognizes front and back direction of a crashed vehicle and crash point where crash occurred based on image information collected from the rotating camera and, a control unit wherein senses filming direction of the camera and stops the camera when the camera's filming direction is directed and controls to store image information regarding crash vehicle. Likewise, the present invention can minimize battery consumption with faster handling of occurred accident more than prior art when camera was installed at a side of a vehicle to film a blind spot since the present invention can film information of a vehicle blind spot with camera of only 1 channel or 2 channel.

A device for detecting a moving object in a blind spot includes: at least one first ultrasonic sensor of a side view assist system; and a control unit for determining the distance and / or speed and / or position of the moving object. The control unit processes at least one signal of a second ultrasonic sensor of a driving assistance system for monitoring the blind spot.

Techniques for implementing blind spots into neural network models are disclosed. In some example embodiments, a computer-implemented method comprises obtaining an image captured within a field of view of an image capture device and comprising an object of a particular type occupying a particular position within the field of view, and determining a confidence value for the object based on the particular position of the object using a neural network model. The confidence value represents a likelihood that the object is an object of interest, and the neural network model is trained to generate lower confidence values for objects of the particular type when the objects of the particular type are occupying the particular position than when the objects of the particular type are not occupying the particular position.

A method or system that is able to adjust an exterior mirror of a vehicle via an automatic mirror-setting (“AM”) model managed by a virtuous cycle containing a cloud based network (“CBN”). The system includes a set of mirrors, a set of inward facing cameras, a vehicle onboard computer (“VOC”), and AM module. In one embodiment, the mirrors, attached to a vehicle, are configured to capture at least a portion of the external environment in which the vehicle operates. The inward facing cameras, mounted in the vehicle, are configured to collect internal images, including the operator's facial features showing operator visual characteristics. The VOC, which is coupled to the CBN, is configured to determine operator vision metadata based on the internal images, operator visual characteristics, and historical stored data. The AM module is able to adaptively set a mirror to an optimal orientation so that the area of the external blind spot is minimized.

The invention discloses a general countermeasure disturbance generation method, which comprises the following steps of: (1) acquiring a network structure and a weight matrix of a target artificial neural network; (2) initializing an adversarial disturbance vector; (3) randomly sampling pictures from a training set, superposing the pictures with the current general adversarial disturbance, and inputting the superposed pictures into a neural network; (4) performing back propagation of gradients at a current picture label and a label with the maximum prediction probability other than the currentpicture label; (5) calculating an updating amount of the countermeasure disturbance by utilizing a predicted vector and the two groups of gradients; and (6) repeating the steps (3)-(5) until the current general countermeasure disturbance can reach a predetermined error rate on a test set. According to the general countermeasure disturbance generation method, the position of the decision-making boundary of the target artificial neural network can be accurately found out based on the network structure and the weight matrix of the target artificial neural network, and blind spots of a classifierin feature extraction are reflected to a certain extent.

The invention provides a vehicle and a method for controlling thereof. The present disclosure relate to a technology to detect an object placed in a blind spot on a road so as to inhibit collision between a target vehicle driving in the vicinity of a vehicle, and the object. The vehicle includes an imager to detect the object by recording the object near the vehicle, a sensor to obtain position information and speed information of the object, and a controller to calculate a time to collision (TTC) between the target vehicle and the object, based on the position information and / or speed information of the object. to the controller outputs a collision risk warning signal in a direction of the object, based on the calculated TTC.

A system for detecting blind spots of a vehicle while the vehicle is been driven includes an image capturing device of at least one side mirror, a warning device and a microprocessor. The image capturing device to capture images of the blind spots of the vehicle. Each of the captured images are analyzed to detect whether a moving object exists in the blind spot. A warning signal is generated in response to a detection of the moving object in the blind spots, and causing the warning device to alarm according to the warning signal.

A microscope equipped with an imaging device used for the positioning of a sample, the microscope capable of removing distortion and blind spots from an image generated by the imaging device and reducing cost by using a commercially available imaging device. A sample holder for holding a sample; a measurement light source for irradiating the sample held by the sample holder with irradiation light; a focusing optical element for focusing measurement light derived from the irradiation light transmitted through or reflected from the sample; a detection unit for detecting the measurement light focused by the focusing optical element; an image capture device for capturing the image of the sample; and an objective optical system switching unit arranged to switch either the focusing optical element or the image capture device with the other to a position facing the sample.