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.
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:
A thermoplastic alloy is disclosed comprising poly(vinyl halide) and an olefin-based uncrosslinked elastomer having thermoplastic properties. The alloy can be made into a polymeric skin using slush molding techniques.
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:
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.
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.
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.
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.
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.
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.