Multiple resolution deep neural networks for vehicle autonomous driving systems

    公开(公告)号:US11594040B2

    公开(公告)日:2023-02-28

    申请号:US16985460

    申请日:2020-08-05

    摘要: Techniques for training multiple resolution deep neural networks (DNNs) for vehicle autonomous driving comprise obtaining a training dataset for training a plurality of DNNs for an autonomous driving feature of the vehicle, sub-sampling the training dataset to obtain a plurality of training datasets comprising the training dataset and one or more sub-sampled datasets each having a different resolution than a remainder of the plurality of training datasets, training the plurality of DNNs using the plurality of training datasets, respectively, determining a plurality of outputs for the autonomous driving feature using the plurality of trained DNNs and the input data, receiving input data for the autonomous driving feature captured by a sensor device, and determining a best output for the autonomous driving feature using the plurality of outputs.

    Image capture device with integrated barcode scanning
    2.
    发明授权
    Image capture device with integrated barcode scanning 有权
    具有集成条码扫描功能的图像捕捉设备

    公开(公告)号:US08596541B2

    公开(公告)日:2013-12-03

    申请号:US12035644

    申请日:2008-02-22

    IPC分类号: G06K7/10

    摘要: This disclosure describes barcode scanning techniques for an image capture device. The image capture device may automatically detect a barcode within an image while the image capture device is operating in a non-barcode image capture mode, such a default image capture mode. In one aspect, the detection of the barcode within the image may be based on a combination of identified edges and low intensity regions within the image. The image capture device may configure, based on the detection of the barcode, one or more image capture properties associated with the image capture device to improve a quality at which the images are captured. The image capture device captures the image in accordance with the configured image capture properties. The techniques may effectively provide a universal and integrated front-end for producing improved quality images of barcodes without requiring significant interaction with a user via a complicated user interface.

    摘要翻译: 本公开描述了用于图像捕获设备的条形码扫描技术。 当图像捕获装置以非条形码图像捕获模式操作时,图像捕获装置可以自动检测图像内的条形码,这种默认图像拍摄模式。 在一个方面,图像内的条形码的检测可以基于图像内的识别边缘和低强度区域的组合。 图像捕获装置可以基于条形码的检测来配置与图像捕获装置相关联的一个或多个图像拍摄属性,以提高拍摄图像的质量。 图像捕获设备根据配置的图像捕获属性捕获图像。 这些技术可以有效地提供通用和集成的前端,用于产生条形码的改进的质量图像,而不需要通过复杂的用户界面与用户进行显着的交互。

    Dispersions of inherently conductive polymer in non-ionic waterborne polymers
    4.
    发明申请
    Dispersions of inherently conductive polymer in non-ionic waterborne polymers 审中-公开
    固体导电聚合物在非离子水性聚合物中的分散体

    公开(公告)号:US20070051928A1

    公开(公告)日:2007-03-08

    申请号:US10595692

    申请日:2004-11-10

    申请人: Stephen Horton

    发明人: Stephen Horton

    IPC分类号: H01B1/12

    摘要: A mixture of inherently conductive polymers and non-ionic waterborne polymers is disclosed. A preferred mixture is lignosulfonic acid-grafted polyaniline and a breathable polyurethane. Coatings of the mixture can be used as anti-fouling marine coatings; anti-static fabrics, coatings and packaging; batteries; conductive inks; conductive adhesives; EMI/RFI shielding articles, radar or microwave absorption articles, and sensors.

    摘要翻译: 公开了固有导电聚合物和非离子水性聚合物的混合物。 优选的混合物是木质素磺酸接枝聚苯胺和透气聚氨酯。 混合物的涂层可用作防污船舶涂料; 防静电面料,涂料和包装; 电池; 导电油墨; 导电胶; EMI / RFI屏蔽物品,雷达或微波吸收物品和传感器。

    SYSTEM AND METHOD FOR MALFUNCTON OPERATION MACHINE STABILITY DETERMINATION

    公开(公告)号:US20220258750A1

    公开(公告)日:2022-08-18

    申请号:US17174777

    申请日:2021-02-12

    摘要: A vehicle includes a controller area network (CAN) and a plurality of a controllers in communication with each other via the CAN, wherein each controller of the plurality of controllers is configured to time-stamp messages transmitted via the CAN using a vehicle-wide synchronized clock, determine a worst-case transmission delay via the CAN based on the time-stamps for messages received from other controllers of the plurality of controllers, and based on the worse-case transmission delay, set a dynamic recovery timer for a malfunctioning controller of the plurality of controllers to recover after its malfunction, wherein the dynamic recovery timer prevents a particular controller that was malfunctioning but has since recovered from being incorrectly designated as a malfunctioning controller in need of service.

    DEEP NEURAL NETWORK WITH IMAGE QUALITY AWARENESS FOR AUTONOMOUS DRIVING

    公开(公告)号:US20210133947A1

    公开(公告)日:2021-05-06

    申请号:US16670575

    申请日:2019-10-31

    摘要: An autonomous driving technique comprises determining an image quality metric for each image frame of a series of image frames of a scene outside of a vehicle captured by a camera system and determining an image quality threshold based on the image quality metrics for the series of image frames. The technique then determines whether the image quality metric for a current image frame satisfies the image quality threshold. When the image quality metric for the current image frame satisfies the image quality threshold, object detection is performed by at least utilizing a first deep neural network (DNN) with the current image frame. When the image quality metric for the current image frame fails to satisfy the image quality threshold, object detection is performed by utilizing a second, different DNN with the information captured by another sensor system and without utilizing the first DNN or the current image frame.

    Tracking objects in LIDAR point clouds with enhanced template matching

    公开(公告)号:US10983215B2

    公开(公告)日:2021-04-20

    申请号:US16224978

    申请日:2018-12-19

    摘要: An advanced driver assistance system (ADAS) and method for a vehicle utilize a light detection and ranging (LIDAR) system configured to emit laser light pulses and capture reflected laser light pulses collectively forming three-dimensional (3D) LIDAR point cloud data and a controller configured to receive the 3D LIDAR point cloud data, convert the 3D LIDAR point cloud data to a two-dimensional (2D) birdview projection, obtain a template image for object detection, the template image being representative of a specific object, blur the 2D birdview projection and the template image to obtain a blurred 2D birdview projection and a blurred template image, and detect the specific object by matching a portion of the blurred 2D birdview projection to the blurred template image.

    Techniques for precisely locating landmarks in monocular camera images with deep learning

    公开(公告)号:US10937186B2

    公开(公告)日:2021-03-02

    申请号:US16224930

    申请日:2018-12-19

    摘要: Advanced driver assistance (ADAS) systems and methods for a vehicle comprise capturing an image using a monocular camera system of the vehicle and detecting a landmark in the image using a deep neural network (DNN) trained with labeled training data including generating a bounding box for the detected landmark, predicting a depth of pixels in the image using a convolutional neural network (CNN) trained with unlabeled training data captured by a stereo camera system, filtering noise by averaging predicted pixel depths for pixels in the region of the bounding box to obtain an average depth value for the detected landmark, determining a coordinate position of the detected landmark using its average depth value, and performing at least one ADAS feature using the determined coordinate position of the detected landmark.

    METHOD AND SYSTEM FOR ESTIMATING LANE LINES IN VEHICLE ADVANCED DRIVER ASSISTANCE DRIVER ASSISTANCE SYSTEMS

    公开(公告)号:US20200349363A1

    公开(公告)日:2020-11-05

    申请号:US16401794

    申请日:2019-05-02

    摘要: An advanced driver assistance system (ADAS) of a vehicle and associated method is disclosed. A first set of sensed lane measurements from a first imaging device and a second set of sensed lane measurements from a second imaging device are obtained. Each of the first and second sets of sensed lane measurements includes a lane estimate for the lane lines on a roadway. Each lane estimate is associated with one lane line. For each lane line, the associated lane estimates from the first and second sets of sensed lane measurements are fused to obtain a fused lane estimate, from which a representative model lane estimate is determined. For each of the plurality of lane lines, the associated lane estimates from the first and second sets of sensed lane measurements and the representative model lane estimate are fused to obtain a corrected fused lane estimate, which is output.

    UNIVERSAL MOBILE PRINT AGENT
    10.
    发明申请
    UNIVERSAL MOBILE PRINT AGENT 有权
    通用移动打印机

    公开(公告)号:US20080004075A1

    公开(公告)日:2008-01-03

    申请号:US11760150

    申请日:2007-06-08

    申请人: Stephen Horton

    发明人: Stephen Horton

    IPC分类号: H04B1/38

    摘要: Methods and apparatus for enabling output from a mobile device are described herein. A mobile device having an image capture device can selectively generate a hard copy output of a captured image by interfacing with an output device. The mobile device can selectively interface with the output device directly or indirectly via one or more intermediate devices and/or systems. The mobile device can interface directly with an output device using a wired or wireless connection, and can selectively operate as a host or client. The mobile device can selectively couple the stored image to a remote output device via a wireless connection. The mobile device can select the remote output device from a predetermined list of devices, or can be supplied a dynamic list of remote output devices. The dynamic list of output devices can be updated, for example, based on a location of the mobile device.

    摘要翻译: 本文描述了用于实现从移动设备输出的方法和装置。 具有图像捕获设备的移动设备可以通过与输出设备接口来选择性地生成捕获图像的硬拷贝输出。 移动设备可以经由一个或多个中间设备和/或系统直接或间接地选择性地与输出设备接口。 移动设备可以使用有线或无线连接直接与输出设备接口,并且可以选择性地作为主机或客户端操作。 移动设备可以经由无线连接选择性地将存储的图像耦合到远程输出设备。 移动设备可以从预定的设备列表中选择远程输出设备,或者可以提供远程输出设备的动态列表。 可以例如基于移动设备的位置来更新输出设备的动态列表。