Embodiments of the present disclosure provide a method for processing camera parameters. The method includes obtaining an environmental image set, the environmental image set including a first type image and two or more second type images, a direction of a light sensing element of the camera capturing the first type image being different from the direction of the light sensing element of the camera capturing the two or more second type images; calculating internal parameters of the camera based on a plurality of target object image points on the first type image and the two or more second type images in the environmental image set. The camera is mounted on an aircraft. The camera is configured to capture a plurality of environmental images of an environment below the aircraft. The calculated internal parameters of the camera include an image position of the principal point of the camera.

Embodiments of the present disclosure provide a method for processing camera parameters. The method includes obtaining an environmental image set, the environmental image set including a first type image and two or more second type images, a direction of a light sensing element of the camera capturing the first type image being different from the direction of the light sensing element of the camera capturing the two or more second type images; calculating internal parameters of the camera based on a plurality of target object image points on the first type image and the two or more second type images in the environmental image set. The camera is mounted on an aircraft. The camera is configured to capture a plurality of environmental images of an environment below the aircraft. The calculated internal parameters of the camera include an image position of the principal point of the camera.

A digital processing system for, a method, implemented on a digital processing system of, and a non transitory machine readable medium containing instructions that when executed implement the method of: automatically selecting one or more complementary images from a set of provided images for use with triangulation and determination of 3D properties of a user-selected point or geometric feature of interest, such as information on the slope (also called the pitch) and one or more dimensions of a roof of a building. The one or more complementary images are selected automatically by using an optimality criterion, also called a complementarity criterion.

An approach is provided for automatically recommending ground control points or any other feature points for image correction (e.g., satellite image correction). The approach, for example, involves collecting a plurality of images depicting a geographic area of interest. The approach also involves processing the plurality of images to detect one or more candidate feature points (e.g., ground control points or other features detectable in the images). The approach further involves performing a feature correspondence of the one or more candidate feature points across the plurality of images. The approach also involves triangulating respective locations of the one or more candidate feature points based on the feature correspondence. The approach further involves filtering the one or more candidate feature points based on the respective locations. The approach further involves providing the filtered one or more candidate feature points as an output comprising one or more recommended feature points.

An approach is provided for automatically recommending ground control points or any other feature points for image correction (e.g., satellite image correction). The approach, for example, involves collecting a plurality of images depicting a geographic area of interest. The approach also involves processing the plurality of images to detect one or more candidate feature points (e.g., ground control points or other features detectable in the images). The approach further involves performing a feature correspondence of the one or more candidate feature points across the plurality of images. The approach also involves triangulating respective locations of the one or more candidate feature points based on the feature correspondence. The approach further involves filtering the one or more candidate feature points based on the respective locations. The approach further involves providing the filtered one or more candidate feature points as an output comprising one or more recommended feature points.

Systems and methods for navigating a vehicle within an environment are provided. In one aspect, a method comprises: (a) selecting, with aid of a processor, a subset of a plurality of sensors to be used for navigating the vehicle within the environment based on one or more predetermined criteria, wherein the plurality of sensors are arranged on the vehicle such that each sensor of the plurality of sensors is configured to obtain sensor data from a different field of view; (b) processing, with aid of the processor, the sensor data from the selected sensor(s) so as to generate navigation information for navigating the vehicle within the environment; and (c) outputting, with aid of the processor, signals for controlling the vehicle based on the navigation information.

Systems and methods for navigating a vehicle within an environment are provided. In one aspect, a method comprises: (a) selecting, with aid of a processor, a subset of a plurality of sensors to be used for navigating the vehicle within the environment based on one or more predetermined criteria, wherein the plurality of sensors are arranged on the vehicle such that each sensor of the plurality of sensors is configured to obtain sensor data from a different field of view; (b) processing, with aid of the processor, the sensor data from the selected sensor(s) so as to generate navigation information for navigating the vehicle within the environment; and (c) outputting, with aid of the processor, signals for controlling the vehicle based on the navigation information.

An approach is provided for automatically recommending ground control points or any other feature points for image correction (e.g., satellite image correction). The approach, for example, involves collecting a plurality of images depicting a geographic area of interest. The approach also involves processing the plurality of images to detect one or more candidate feature points (e.g., ground control points or other features detectable in the images). The approach further involves performing a feature correspondence of the one or more candidate feature points across the plurality of images. The approach also involves triangulating respective locations of the one or more candidate feature points based on the feature correspondence. The approach further involves filtering the one or more candidate feature points based on the respective locations. The approach further involves providing the filtered one or more candidate feature points as an output comprising one or more recommended feature points.

An approach is provided for automatically recommending ground control points or any other feature points for image correction (e.g., satellite image correction). The approach, for example, involves collecting a plurality of images depicting a geographic area of interest. The approach also involves processing the plurality of images to detect one or more candidate feature points (e.g., ground control points or other features detectable in the images). The approach further involves performing a feature correspondence of the one or more candidate feature points across the plurality of images. The approach also involves triangulating respective locations of the one or more candidate feature points based on the feature correspondence. The approach further involves filtering the one or more candidate feature points based on the respective locations. The approach further involves providing the filtered one or more candidate feature points as an output comprising one or more recommended feature points.

A first image sensor device is operable to produce first orientation information indicating an orientation of the first image sensor device at a time of capturing a first image of an object. A second image sensor device is operable to produce second orientation information indicating an orientation of the second image sensor device at a time of capturing a second image of the object. The image capturing system further includes measurement hardware to measure a distance between the first image sensor device and the second image sensor device at times of capturing the first image and the second image. According to one configuration, a combination of the first orientation information, the second orientation information, and the distance between the first image sensor device and the second image sensor device is used to derive a 3-D stereo view of the object using the first image and the second image.