Abstract: Systems and method are provided for a towing vehicle towing a trailer having at least one imaging device. A method includes: receiving, from a first imaging device coupled to the trailer, a first image stream having a plurality of first images; receiving, from a second imaging device coupled to the vehicle, a second image stream having a plurality of second images; determining, at least one common feature between a first image of the first images and a second image of the second images; determining a first distance from the first imaging device to the at least one common feature and a second distance from the second imaging device to the at least one common feature; and determining, a position of the first imaging device relative to the vehicle based on the first distance, the second distance and a known position and pose of the second imaging device.

Abstract: A method is used to evaluate a camera-related subsystem in a digital network, e.g., aboard a vehicle or fleet, by receiving, via a camera diagnostic module (CDM), sensor reports from the subsystem and possibly from a door sensor, rain/weather sensor, or other sensor. The CDM includes data tables corresponding to subsystem-specific fault modes. The method includes evaluating performance of the camera-related subsystem by comparing potential fault indicators in the received sensor reports to one of the data tables, and determining a pattern of fault indicators in the reports. The pattern is indicative of a health characteristic of the camera-related subsystem. A control action is executed with respect to the digital network in response to the health characteristic, including recording a diagnostic or prognostic code indicative of the health characteristic. The digital network and vehicle are also disclosed.

Abstract: Methods and apparatus are provided for cleaning a sensor lens cover for an optical vehicle sensor. The method includes monitoring the sensor lens cover for a contaminant obstructing at least a portion of the sensor lens cover and determining the presence of the commandant and a contaminant type using information provided by one or more vehicle sensors. A cleaning modality selected based the contaminant type is activated and it is determined whether the cleaning modality has removed the contaminant from the sensor lens cover.

Abstract: An autonomic vehicle control system is described, and includes a vehicle spatial monitoring system including a subject spatial sensor that is disposed to monitor a spatial environment proximal to the autonomous vehicle. A controller is in communication with the subject spatial sensor, and the controller includes a processor and a memory device including an instruction set. The instruction set is executable to evaluate the subject spatial sensor, which includes determining first, second, third, fourth and fifth SOH (state of health) parameters associated with the subject spatial sensor, and determining an integrated SOH parameter for the subject spatial sensor based thereupon.

Abstract: A method of identifying a snow covered road includes creating a forward image of a road surface. The forward image is analyzed to detect a tire track in the forward image. When a tire track is detected in the forward image, a message indicating a snow covered road surface is signaled. When a tire track is not detected in the forward image, a rearward image, a left side image, and a right side image are created. The rearward image, the left side image, and the right side image are analyzed to detect a tire track in at least one of the rearward image, the right side image, and the left side image. A message indicating a snow covered road surface is signaled when a tire track is detected in one of the rearward image, the left side image, or the right side image.

Abstract: A vehicle includes at least one image capture device and a user display configured to display images receive from the at least one image capture device. The vehicle also includes a controller programmed to generate a user prompt to set a home vehicle position in response the vehicle entering a first parked state. The controller is also programmed to store at least one reference image indicative of an area in a vicinity of the vehicle corresponding to the home vehicle position. The controller is further programmed to collect a current image corresponding to a current vehicle position in response to a subsequent approach toward the vicinity, and compare the current image to the reference image. The controller is further programmed to generate a user display depicting the vicinity, the current vehicle position, and the home vehicle position.

Abstract: A vehicle includes a vision system including at least one external image capture device to transmit image data and a user interface display to present image data received from the at least one image capture device. The vehicle also includes a controller programmed to increase a brightness of an exterior lamp in response to sensing an ambient light level less than an ambient light threshold. The controller is also programmed to modify at least one visual attribute of image data presented at the user interface display in response to an image light level less than a first image light threshold.

Abstract: A separate three-dimensional (3D) integration filter mask if precomputed for each of x, y, and z dimensions with a given operator length. A portion of a 3D post-stack seismic data set is received for processing and loaded into a generated 3D-sub-cube. The separate 3D integration filter masks are applied to the loaded 3D-sub-cube to generate filtered 3D-sub-cube data. The square mean of the 3D-sub-cube is calculated to generate smoothed 3D-sub-cube data.

Abstract: A method of detecting a curb. An image of a path of travel is captured by a monocular image capture device mounted to a vehicle. A feature extraction technique is applied by a processor to the captured image. A classifier is applied to the extracted features to identify a candidate region in the image. Curb edges are localized by the processor in the candidate region of the image by extracting edge points. Candidate curbs are identified as a function of the extracted edge points. A pair of parallel curves is selected representing the candidate curb. A range from image capture device to the candidate curb is determined. A height of the candidate curb is determined. A vehicle application is enabled to assist a driver in maneuvering a vehicle utilizing the determined range and depth of the candidate curb.

Abstract: A system and method for determining when to display frontal curb view images to a driver of a vehicle, and what types of images to display. A variety of factors—such as vehicle speed, GPS/location data, the existence of a curb in forward-view images, and vehicle driving history—are evaluated as potential triggers for the curb view display, which is intended for situations where the driver is pulling the vehicle into a parking spot which is bounded in front by a curb or other structure. When forward curb-view display is triggered, a second evaluation is performed to determine what image or images to display which will provide the best view of the vehicle's position relative to the curb. The selected images are digitally synthesized or enhanced, and displayed on a console-mounted or in-dash display device.

Abstract: A vehicle includes a plurality of exterior lamps each arranged to cast a light pattern in a vicinity of the vehicle. The vehicle also includes at least one imaging device configured to capture image data indicative of the vicinity including at least one light pattern. The vehicle further includes a controller programmed to cause a variance action by a particular one of the plurality of exterior lamps, and monitor the image data for a change in a light pattern associated with the particular one of the exterior lamps. The controller is also programmed to generate a signal indicative of a fault condition associated with the particular one of the exterior lamps in response to no change in the light pattern.

Abstract: A method for determining a thickness of water on a path of travel. A plurality of images of a surface of the path of travel is captured by an image capture device over a predetermined sampling period. A plurality of wet surface detection techniques are applied to each of the images. A detection rate is determined in real-time for each wet surface detection technique. A detection rate trigger condition is determined as a function of a velocity of the vehicle for each detection rate. The real-time determined detection rate trigger conditions are compared to predetermined detection rate trigger conditions in a classification module to identify matching results pattern. A water film thickness associated with the matching results pattern is identified in the classification module. A water film thickness signal is provided to a control device. The control device applies the water film thickness signal to mitigate the wet surface condition.

Abstract: Methods and systems are provided for analyzing tires of a vehicle utilizing camera images from one or more cameras mounted on the vehicle (or infrastructure). In one example, the method includes obtaining camera images of one or more tires of a vehicle, utilizing one or more cameras that are mounted on the vehicle, during operation of the vehicle; and processing the camera images, via a processor, in order to generate an analysis of one or more of the tires based on the images that were obtained via the one or more cameras that are mounted on the vehicle.

Abstract: Methods and systems are provided for analyzing tires of a vehicle utilizing camera images from one or more cameras mounted on the vehicle (or infrastructure). In one example, the method includes obtaining camera images of one or more tires of a vehicle, utilizing one or more cameras that are mounted on the vehicle, during operation of the vehicle; and processing the camera images, via a processor, in order to generate an analysis of one or more of the tires based on the images that were obtained via the one or more cameras that are mounted on the vehicle.

Abstract: A vehicle includes a vision system configured to output a signal indicative of exterior conditions in a vicinity of the vehicle and a temperature sensor configured to output a signal indicative of an interior temperature of the vehicle. The vehicle also includes a plurality of articulable openings arranged to allow fluid flow communication between an interior and an exterior of the vehicle. The vehicle further includes a controller programmed to adjust at least one articulable opening toward an open position in response to the interior temperature exceeding a temperature threshold. The controller is also programmed to adjust at least one articulable opening toward a closed position in response to detection via the vision system of a threat condition in the vicinity of the vehicle.

Abstract: A vehicle includes at least one imaging device configured to generate image data indicative of a vicinity of the vehicle. The vehicle also includes a user interface display configured to display image data from the at least one imaging device. A vehicle controller is programmed to monitor image data for the presence of moving external objects within the vicinity, and to activate the user interface display to display image data in response to detecting a moving external object in the vicinity while the vehicle is at a rest condition. The controller is also programmed to assign a threat assessment value based on conditions in the vicinity of the vehicle, and upload image data to an off-board server in response to the threat assessment value being greater than a first threshold.

Abstract: A method for determining a snow covered surface condition of a path of travel. A beam of light is emitted at a surface of the path of travel by a light emitting source. An image of a path of travel surface is captured by an image capture device. The image capture device is mounted on the vehicle and captures an image in a downward direction. The captured image captures the beam of light emitted on the path of travel surface. Analyzing a subsurface scattering of the light generated on the path of travel surface by a processor. A determination is made whether snow is present on the path of travel. A snow covered path of travel surface signal is generated in response to the identification of snow on the path of travel.

Abstract: Provided in the present invention are odontogenic stem cells and a use of genetically modified odontogenic stem cells for treating periodontal disease, repairing defects in periodontal bone tissues or soft tissues and/or promoting the regeneration of periodontal tissues, or in products for treating acute and chronic bone tissue injuries (e.g. bone fracture) or bone tissue defects. Also provided in the present invention is a composition comprising odontogenic stem cells and/or genetically modified odontogenic stem cells, wherein an exogenous hepatocyte growth factor gene is introduced into odontogenic stem cells through an adenovirus or adeno-associated virus vector to obtain the genetically modified odontogenic stem cells.

Abstract: A vehicle includes at least one image capture device and a user display configured to display images receive from the at least one image capture device. The vehicle also includes a controller programmed to generate a user prompt to set a home vehicle position in response the vehicle entering a first parked state. The controller is also programmed to store at least one reference image indicative of an area in a vicinity of the vehicle corresponding to the home vehicle position. The controller is further programmed to collect a current image corresponding to a current vehicle position in response to a subsequent approach toward the vicinity, and compare the current image to the reference image. The controller is further programmed to generate a user display depicting the vicinity, the current vehicle position, and the home vehicle position.

Abstract: A system and method for providing online calibration of a plurality of cameras in a surround-view camera system on a vehicle. The method provides consecutive images from each of the cameras in the surround-view system and identifies overlap image areas for adjacent cameras. The method identifies matching feature points in the overlap areas of the images and estimates camera parameters in world coordinates for each of the cameras. The method then estimates a vehicle pose of the vehicle in world coordinates and calculates the camera parameters in vehicle coordinates using the estimated camera parameters in the world coordinates and the estimated vehicle pose to provide the calibration.