365 results about "Blind spot" patented technology

A method of cleaning blind spots around a substrate supporting apparatus by controlling a position of the substrate supporting apparatus includes moving the substrate supporting apparatus relative to a ring and supplying a cleaning gas to an upper space of the substrate supporting apparatus.

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.

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 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 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.

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.

The invention discloses an aerial photography image calibration method for an unmanned aerial vehicle suitable for plane measurement. According to the method, firstly, an image calibration model is built, and whether any map is subjected to calibration or on-site aerial photography calibration is judged. If any map is judged to be subjected to calibration, the fine adjustment is carried out to complete calibration after the image calibration operation. If any any map is judged to be subjected to on-site aerial photography calibration, a photography image is collected and calibration parametersare recorded. After that, the automatically calibrating operation is carried out and preliminary calibration parameters are obtained. Meanwhile, whether primary calibration parameters meet the requirement or not is judged. If primary calibration parameters meet the requirement, the calibration is completed. If primary calibration parameters do not meet the requirement, the plane image correctionor the plane image fast calibration is carried out. After the plane image correction or the plane image fast calibration, the fine adjustment is carried out to complete calibration. The method is simpler, clearer and faster in imaging operation, so that the real-time unmanned aerial vehicle calibration and measurement can be achieved. The time cost is greatly saved. The fast calibration mode can be adopted, so that the map blind spot problem of image calibration can be compensated. The calibration efficiency and the user experience are greatly improved.

The technology relates to an exterior sensor system for a vehicle configured to operate in an autonomous driving mode. The technology includes a close-in sensing (CIS) camera system to address blind spots around the vehicle. The CIS system is used to detect objects within a few meters of the vehicle. Based on object classification, the system is able to make real-time driving decisions. Classification is enhanced by employing cameras in conjunction with lidar sensors. The specific arrangement of multiple sensors in a single sensor housing is also important to object detection and classification. Thus, the positioning of the sensors and support components are selected to avoid occlusion and to otherwise prevent interference between the various sensor housing elements.

An apparatus comprising a first sensor, an interface, a second sensor and a processor. The first sensor may be configured to generate a video signal based on a targeted view of a driver. The interface may be configured to receive status information about one or more components of a vehicle. The second sensor may be configured to detect an object within a predetermined radius of the second sensor. The processor may be configured to determine a field of view of the driver based on the status information. The processor may be configured to generate a control signal in response to a cross reference between (i) a field of view of the driver and (ii) the detected object. The control signal may be used to alert the driver if the detected object is not in the field of view of the driver.