Abstract: An imaging system, method, and computer readable medium filling in blind spot regions in images of peripheral areas of a vehicle. Intrinsic or extrinsic blind spot data is used together with vehicle movement data including vehicle speed and steering angle information to determine one or more portions of a series of images of the peripheral areas that include or will include one or more blind spot obstructions in the images. Portions of the images predicted to be obstructed at a future time, portions of overlapping images obtained concurrently from plural sources, or both, are obtained and used as an image patch. A blind spot region restoration unit operates to stitch together a restored image without the blind spot obstruction by merging one or more image patches into portions of the images that include the one or more blind spot obstructions.

Abstract: When employing a multi-node computing architecture for commercial articulated vehicles to generate a composite surround view of the vehicle, each processing node is associated with a vehicle segment. Each node has its own processor, memory and sensors. A master-slave relationship exists in the architecture. The segment processors collect, format, manage and package their local information. Communication between nodes is controlled by the master node, which can limit, adjust, subsample and alter the information and information flow from the slave nodes. The slave nodes can be freely recombined, using a pre-established communication standard or a format agreed upon at combination time.

Abstract: An imaging system adjusts a display of images obtained of an area to compensate for one or more relationships of cameras on a vehicle relative to a peripheral area. The system comprises a processor, an image obtaining unit, a non-transient memory, a situational compensation unit, and a display unit. The image obtaining unit receives first image data representative of a first image, and the memory stores intrinsic image coordinate transformation data representative of an intrinsic mapping between the first image data and first display data representative of an uncompensated bird's eye view image of the peripheral area of the associated vehicle. The situational compensation selectively modifies the intrinsic mapping as an adjusted intrinsic mapping between the first image data and the first display data in accordance with a signal representative of the one or more relationships of the associated vehicle relative to the peripheral area.

Abstract: Various examples of an apparatus for mounting a camera on a vehicle are disclosed. The apparatus includes a first bracket having a first end configured for attaching to a camera and a second end configured for mounting to a vehicle and a second bracket separate from the first bracket configured for holding the camera in a calibrated position. The second bracket is capable of deforming upon an impact to the apparatus and returning the camera to a calibrated position upon replacement.

Abstract: An imaging system, method, and computer readable medium filling in blind spot regions in images of peripheral areas of a vehicle. Intrinsic or extrinsic blind spot data is used together with vehicle movement data including vehicle speed and steering angle information to determine one or more portions of a series of images of the peripheral areas that include or will include one or more blind spot obstructions in the images. Portions of the images predicted to be obstructed at a future time, portions of overlapping images obtained concurrently from plural sources, or both, are obtained and used as an image patch. A blind spot region restoration unit operates to stitch together a restored image without the blind spot obstruction by merging one or more image patches into portions of the images that include the one or more blind spot obstructions.

Abstract: Various examples of an apparatus for mounting a camera on a vehicle are disclosed. An apparatus comprises a first portion of a first material with a first end configured for attaching to a camera and a second end configured for mounting to a vehicle. The apparatus is configured to maintain the camera in a substantially calibrated position. A second portion of a second material is coupled to the first portion, wherein the second material is capable of deforming upon an impact to the apparatus and returning the apparatus to the calibrated position upon exposure to an energy source. In another example, the apparatus is constructed entirely of the second material.

Abstract: Various examples of an apparatus for mounting a camera on a vehicle are disclosed. An apparatus comprises a first portion of a first material with a first end configured for attaching to a camera and a second end configured for mounting to a vehicle. The apparatus is configured to maintain the camera in a substantially calibrated position. A second portion of a second material is coupled to the first portion, wherein the second material is capable of deforming upon an impact to the apparatus and returning the apparatus to the calibrated position upon exposure to an energy source. In another example, the apparatus is constructed entirely of the second material.

Abstract: When employing a multi-node computing architecture for commercial articulated vehicles to generate a composite surround view of the vehicle, each processing node is associated with a vehicle segment. Each node has its own processor, memory and sensors. A master-slave relationship exists in the architecture. The segment processors collect, format, manage and package their local information. Communication between nodes is controlled by the master node, which can limit, adjust, subsample and alter the information and information flow from the slave nodes. The slave nodes can be freely recombined, using a pre-established communication standard or a format agreed upon at combination time.

Abstract: A method for identifying a best item among a plurality of respective different items includes selecting a current best score, identifying a set of attributes associated with each of the items, and for each of the sets of attributes: determining a best possible score for a subset of the set of attributes, if the best possible score is greater than the current best score, determining an actual score for the set of attributes, and if the actual score for the set of attributes is greater than the current best score, setting the current best score as the actual score for the set of attributes. After both of the determining steps and the setting step for each of the sets of attributes, the item associated with the current best score is identified.

Abstract: A method for graphically indicating an object in a final image includes obtaining a plurality of sub-images including the object from respective image capturing devices at different angles, replacing a portion of a first of the sub-images with a corresponding portion of a second of the sub-images, replacing a portion of the second sub-image with a corresponding portion of the first sub-image, and generating the final image including a graphical representation of the object as a two-dimensional view not aligned with a common virtual viewpoint based on the first and second sub-images including the respective replaced portions.

Abstract: Cameras having wide fields of view are placed at each of the front left, front right, rear left, and rear right corners of a nominally rectangular-shaped vehicle, thereby providing a continuous region of overlapping fields of view completely surrounding the vehicle, and enabling complete 360° stereoscopic vision detection around the vehicle. In an embodiment the regions of overlapping fields of view completely surround the vehicle. The cameras are first individually calibrated, then collectively calibrated considering errors in overlapping viewing areas to develop one or more calibration corrections according to an optimization method that adjusts imaging parameters including homography values for each of the cameras, to reduce the overall error in the 360° surround view image of the continuous region surrounding the vehicle.

Abstract: When calculating an angle of articulation between two portions of an articulated vehicle such as a tractor-trailer combination, a camera-based articulation angle measuring system comprises camera(s) mounted on the tractor and/or trailer that observe their counterpart and/or features on the other portion of the vehicle. The angles or locations of the counterpart features are measured in the image(s) produced by the camera(s). A geometric model is employed to convert the location and/or angular measurements into a corresponding articulation and/or roll angle for the tractor-trailer combination.

Abstract: A method for rating drivers includes associating each of a plurality of segments of a route with a respective one of a plurality of segment types. For each of the plurality of drivers, a respective segment type value associated with each of the segment types is identified, a first condition value associated with a first condition is identified, a second condition value associated with a second condition is identified, and a driver score including respective component values based on the segment type values, the first condition value, and the second condition value is identified. The drivers are rated for one of the segments based on the respective multi-component driving scores.

Abstract: A vehicle driver assistance apparatus is provided for a vehicle. The vehicle driver assistance apparatus comprises an image capture device arranged to capture image data which is representative of an object in vicinity of the vehicle. The vehicle driver assistance apparatus further comprises an electronic controller arranged to (i) process the captured image data to identify an edge line associated with the object, and (ii) process the captured image data further based upon the identified edge line to identify a distance between the vehicle and the edge line of the object.

Abstract: When detecting an object of interest, such as a bicyclist passing a truck, two downward looking cameras both capture images of the cyclist and detect the cyclist as a deviation from the flat ground plane. The ground plane is reconstructed using a homography (projection) matrix of each camera and compared. Where the camera images do not agree, the ground is not flat. The cyclist is located as the intersection of the rays extending to either end of the area of disagreement between the images.

Abstract: When blending individual vehicle-mounted camera images into a coherent composite image of the vehicle surroundings, objects in the respective images are analyzed to determine the presence of a pedestrian. When the individual images are blended to form the composite image, multiple pedestrian shadow views of the pedestrian are replaced with background pixels to erase the pedestrian, and a semi-symbolic graphical representation of the pedestrian is superimposed at the location of the actual pedestrian in the composite image. The graphical representation is proportional to the pedestrian in the composite image and includes features unique to the pedestrian it represents. The composite image with the graphical representation is then presented to a viewer.

Abstract: Systems and methods for tracking points within an encasement are provided. According to an aspect of the invention, a processor designates an encasement at a first location within a first image acquired at a first time; identifies points to track within the encasement; determines characteristics of the points to track; tracks the points over time based on the characteristics; and determines a second location of the encasement within a second image acquired at a second time based on positions of the tracked points at the second time. Identifying the points to track may include identifying points within the encasement that are significant and persistent.

Abstract: When calculating an angle of articulation between two portions of an articulated vehicle such as a tractor-trailer combination, a camera-based articulation angle measuring system comprises camera(s) mounted on the tractor and/or trailer that observe their counterpart and/or features on the other portion of the vehicle. The angles or locations of the counterpart features are measured in the image(s) produced by the camera(s). A geometric model is employed to convert the location and/or angular measurements into a corresponding articulation and/or roll angle for the tractor-trailer combination.

Abstract: When calculating true inter-camera distance, offset images of a reference object such as a lane marker from at least two cameras coupled to an articulating vehicle are overlaid and shifted until the reference objects in each image are aligned. The distance by which the reference object images are shifted, as well as any rotation required to align the images, is used to calculate the actual distance between the cameras and to compensate for average yaw angle between the cameras when positioning the images for digital stitching to generate a composite “surround view” image.

Abstract: A camera system on a vehicle includes an electronic control unit, a base sensor, on a first portion of the vehicle, and a remote sensor on a second portion of the vehicle. The base sensor and the remote sensor communicate with the electronic control unit. The electronic control unit associates the remote sensor with the base sensor based on respective signals received from the base sensor and the remote sensor representing respective measurements of a first physical quantity by the base sensor and the remote sensor.