Abstract: The present invention provides a hydrothermal oxidation method for producing alkali metal dichromate from carbon ferrochrome, and the method comprises the following steps: formulating an initial reaction liquid by mixing carbon ferrochrome, an alkaline substance and water, in which the actual addition amount of the alkali is controlled smaller than the theoretically required amount; adding the initial reaction liquid into a reaction kettle, charging an oxidizing gas into the reaction kettle, and allowing the reaction to proceed for 0.5 to 3 h at a temperature of 150° C. to 370° C. and a pressure of 2 Mpa to 24 MPa; carrying out solid-liquid separation, cooling the resultant filtrate to a temperature of ?12° C. to ?20° C.

Abstract: Disclosed is a type of antenna for vehicles that is protected by having a cap fitted-onto an antenna cover that covers an antenna element thereof, wherein coming-off of the cap is prevented from happening. The antenna for vehicles, which is comprised by having an antenna rod mounted onto an antenna base, is provided with: a conductive rod element that is formed within the antenna rod, and connected to the antenna base; a joint section that covers at least the side face of the rod element in the axis direction thereof, and that comprises an inner-side cylinder that is formed in the vicinity of an end section at the opposite side of the antenna base and further comprises a joint engaging section, and an outer-side cylinder that is formed at the outer side of the inner-side cylinder; and a rod cap that comprises a cop engaging section for engaging with the joint engaging section.

Abstract: Blind wavelet extraction and de-convolution is performed on seismic data to enable its practical usage in seismic processing and to provide quality control of data obtained in areas where data from wells are not available. The wavelet extraction and deconvolution are realized in the time domain by iteration, producing a mixed phase wavelet with minimal prior knowledge of the actual nature of the wavelet. As a result of the processing, the de-convolved seismic reflectivity is obtained simultaneously.

Abstract: A method for generating a glare-reduced image from images captured by a camera device of a subject vehicle includes obtaining a short-exposure image and a long-exposure image and generating a resulting high dynamic range image based on the short-exposure and long-exposure images. Pixel values are monitored within both the short- and long-exposure images. A light source region is identified within both the short- and long-exposure images based on the monitored pixel values. A glaring region is identified based on the identified light source region and one of calculated pixel ratios and calculated pixel differences between the monitored pixel values of the long- and short-exposure images. The identified glaring region upon the resulting high dynamic range image is modified with the identified light source region within the short-exposure image. The glare-reduced image is generated based on the modified identified glaring region upon the resulting HDR image.

Abstract: Method for applying super-resolution to images captured by a camera device of a vehicle includes receiving a plurality of image frames captured by the camera device. For each image frame, a region of interest is identified within the image frame requiring resolution related to detail per pixel to be increased. Spatially-implemented super-resolution is applied to the region of interest within each image to enhance image sharpness within the region of interest.

Abstract: An apparatus for capturing an image includes a plurality of lens elements coaxially encompassed within a lens housing. One of the lens elements includes an aspheric lens element having a surface profile configured to enhance a desired region of a captured image. At least one glare-reducing element coaxial with the plurality of lens elements receives light subsequent to the light sequentially passing through each of the lens elements. An imaging chip receives the light subsequent to the light passing through the at least one glare-reducing element. The imaging chip includes a plurality of green, blue and red pixels.

Abstract: An apparatus for capturing an image includes a plurality of lens elements coaxially encompassed within a lens housing. A split-sub-pixel imaging chip includes an IR-pass filter coating applied on selected sub-pixels. The sub-pixels include a long exposure sub-pixel and a short-exposure sub-pixel for each of a plurality of green blue and red pixels.

Abstract: Method for detecting road edges in a road of travel for clear path detection. Input images are captured at various time step frames. An illumination intensity image and a yellow image are generated from the captured image. Edge analysis is performed. The line candidates identified in a next frame are tracked. A vanishing point is estimated in the next frame based on the tracked line candidates. Respective line candidates are selected in the next frame. A region of interest is identified in the captured image for each line candidate. Features relating to the line candidate are extracted from the region of interest and input to a classifier. The classifier assigns a confidence value to the line candidate identifying a probability of whether the line candidate is a road edge. The potential line candidate is identified as a reliable road edge if the confidence value is greater than a predetermined value.

Abstract: A method of detecting a clear path in a road of travel for a vehicle utilizing a top-down view classification technique. An input image of a scene exterior of the vehicle is captured. The captured input image represents a perspective view of the road of travel. The captured input image is analyzed. A segmented top-down image that includes potential clear path regions and potential non-clear path regions are generated. The segmented top-down image represents a viewing angle perpendicular to a ground plane. The segmented regions of the segmented top-down view are input to a classifier for identifying the clear path regions of travel. The identified clear path regions are utilized for navigating the road of travel.

Abstract: A method for displaying a captured image on a display device. A scene is captured by at least one vision-based imaging device. A virtual image of the captured scene is generated by a processor using a camera model. A view synthesis technique is applied to the captured image by the processor for generating a de-warped virtual image. A dynamic rearview mirror display mode is actuated for enabling a viewing mode of the de-warped image on the rearview mirror display device. The de-warped image is displayed in the enabled viewing mode on the rearview mirror display device.

Abstract: A vehicle imaging system includes an image capture device capturing an image exterior of a vehicle. The captured image includes at least a portion of a sky scene. A processor generates a virtual image of a virtual sky scene from the portion of the sky scene captured by the image capture device. The processor determines a brightness of the virtual sky scene from the virtual image. The processor dynamically adjusts a brightness of the captured image based the determined brightness of the virtual image. A rear view mirror display device displays the adjusted captured image.

Abstract: Blind wavelet extraction and de-convolution is performed on seismic data to enable its practical usage in seismic processing and to provide quality control of data obtained in areas where data from wells are not available. The wavelet extraction and deconvolution are realized in the time domain by iteration, producing a mixed phase wavelet with minimal prior knowledge of the actual nature of the wavelet. As a result of the processing, the de-convolved seismic reflectivity is obtained simultaneously.

Abstract: A system and method for providing calibration and de-warping for ultra-wide FOV cameras. The method includes estimating intrinsic parameters such as the focal length of the camera and an image center of the camera using multiple measurements of the near optical axis object points and a pinhole camera model. The method further includes estimating distortion parameters of the camera using an angular distortion model that defines an angular relationship between an incident optical ray passing an object point in an object space and an image point on an image plane that is an image of the object point on the incident optical ray. The method can include a parameter optimization process to refine the parameter estimation.

Abstract: A method and system for vehicular clear path detection using adaptive machine learning techniques including additional classifiers. Digital camera images are segmented into patches, from which characteristic features are extracted representing attributes such as color and texture. The patch features are analyzed by a Support Vector Machine (SVM) or other machine learning classifier, which has been previously trained to recognize clear path image regions. For image regions or patches which result in a low confidence value, an additional classifier can be used, where the additional classifier is adaptively trained using real world test samples which were previously classified with high confidence as clear path roadway. Output from the original, offline trained classifier and the additional, adaptively-updated classifier are then used to make a joint decision about clear path existence in subsequent image patches.

Abstract: Disclosed is a dual wafer stage switching system for a lithography machine. The system comprises a base stage (30), a wafer stage (16.1) running at a pre-processing workstation, and a wafer stage (16.2) running at an exposure workstation. A rotating motor (41) is mounted under the base stage (30) for rotating the two wafer stages after the wafer stages have completed pre-processing and exposure operations in order to complete position switch of the wafer stages, wherein the base stage (30) is kept stationary during the switch. The present invention avoids rotation of a large inertia base stage and has low requirement for motor power, while eliminating a guide rail docking device and an auxiliary device and greatly simplifying system configuration. The system is easy and convenient to operate and easy to control.

Abstract: A nanometer precision six-DOF magnetic suspension micro-stage and the application thereof are provided which are mainly used in semiconductor photolithography devices. The micro-stage includes a cross support and four two-DOF actuators. Each 2-DOF actuator comprises a vertically polarized permanent magnet, a horizontal force coil and a vertical force coil; the permanent magnet being mounted on an end of the cross support, the horizontal force coil and the vertical force coil being arranged on a side of and below the permanent magnet respectively and being spaced apart from the permanent magnet; the cross support and four vertically polarized permanent magnets constitute a mover of the micro-stage; the horizontal force coil and the vertical force coil being fixed by a coil framework respectively and constituting a stator of the micro-stage; and the stator being mounted on a base of the micro-stage.

Abstract: A method of detecting a clear path of travel. Input images are captured at various time step frames. Clear path probability maps of a current and previous time step frames are generated. A corresponding clear path probability map is generated for the current time step frame derived as a function of the clear path probability map of the previous time step frame and of a corresponding mapping that coherently links the previous time step frame to the current time step frame. A weight-matching map is generated. The probability values of the current time step frame are updated as a function of the corresponding probability map. A current frame probability decision map is generated based on updated probability values of the current time step frame. The clear path in the image of the current time step is identified based on the current frame probability decision map.

Abstract: A method of detecting a clear path in a road of travel for a vehicle utilizing a top-down view classification technique. An input image of a scene exterior of the vehicle is captured. The captured input image represents a perspective view of the road of travel. The captured input image is analyzed. A segmented top-down image that includes potential clear path regions and potential non-clear path regions are generated. The segmented top-down image represents a viewing angle perpendicular to a ground plane. The segmented regions of the segmented top-down view are input to a classifier for identifying the clear path regions of travel. The identified clear path regions are utilized for navigating the road of travel.

Abstract: A method of detecting a clear path of travel. Input images are captured at various time step frames. Clear path probability maps of a current and previous time step frames are generated. A corresponding clear path probability map is generated for the current time step frame derived as a function of the clear path probability map of the previous time step frame and of a corresponding mapping that coherently links the previous time step frame to the current time step frame. A weight-matching map is generated. The probability values of the current time step frame are updated as a function of the corresponding probability map. A current frame probability decision map is generated based on updated probability values of the current time step frame. The clear path in the image of the current time step is identified based on the current frame probability decision map.

Abstract: Method for detecting road edges in a road of travel for clear path detection. Input images are captured at various time step frames. An illumination intensity image and a yellow image are generated from the captured image. Edge analysis is performed. The line candidates identified in a next frame are tracked. A vanishing point is estimated in the next frame based on the tracked line candidates. Respective line candidates are selected in the next frame. A region of interest is identified in the captured image for each line candidate. Features relating to the line candidate are extracted from the region of interest and input to a classifier. The classifier assigns a confidence value to the line candidate identifying a probability of whether the line candidate is a road edge. The potential line candidate is identified as a reliable road edge if the confidence value is greater than a predetermined value.