A maturity determination device includes an image capturing device to capture a image including a plurality of first and second pixels; and a signal processing circuit configured to find an area size ratio of an intensity distribution of light of a first wavelength band on the basis of a predetermined reference value based on pixel values obtained from the plurality of first and second pixels, and to generate maturity determination information in accordance with the area size ratio. The first pixel includes a first light transmission filter, and the second pixel includes a second light transmission filter. The intensity of the light of the first wavelength band reflected by the fruits and vegetables varies in accordance with the maturity level, and the intensity of the light of the second wavelength band reflected by the fruits and vegetables is substantially the same regardless of the maturity level.

A method (400) of capturing and processing electroluminescence (EL) images (1910) of a PV array (40) is disclosed herein. In a described embodiment, the method 400 includes controlling the aerial vehicle (20) to fly along a flight path to capture EL images (1910) of corresponding PV array subsections (512b) of the PV array (40), deriving respective image quality parameters from at least some of the captured EL images, dynamically adjusting a flight speed of the aerial vehicle along the flight path, based on the respective image quality parameters for capturing the EL images (1910) of the PV array subsections (512b), extracting a plurality of frames (1500) of the PV array subsection (512b) from the EL images (1910); determining a reference frame having a highest image quality of the PV array subsection (512b) from among the extracted frames (2100); performing image alignment of the extracted frames (2100) to the reference frame to generate image aligned frames (2130), and processing the image aligned frames (2130) to produce an enhanced image (2140) of the PV array subsection (512b) having a higher resolution than the reference frame. A system, image processing device, and aerial vehicle for the method thereof are also disclosed.

A vehicle control system includes at least one imaging device attached to a vehicle and that captures multiple images, and a control circuit that generates a composite image from the multiple images and displays the composite image on a display unit. The vehicle is operated according to a user operation on a portion of the display unit on which the composite image is being displayed.

A method for surveying an environment by a movable surveying instrument configured to be carried by a human with a progressional capturing of 2D-images by at least one camera and applying a visual simultaneous location and mapping algorithm (VSLAM) or a visual inertial simultaneous location and mapping algorithm (VISLAM) with a progressional deriving of a sparse evolving point cloud of at least part of the environment, and a progressional deriving of a trajectory of movement. The method comprises a progressional matching of the sparse evolving point cloud with a known CAD-geometry, with a minimizing of a function configured to model a distance between the sparse point cloud and the known CAD-geometry and deriving a spatial localization and orientation of the surveying instrument. At least one surveying measurement value of the environment by a spatial measurement unit is combined with the sparse point cloud or the plan information.

A method for surveying an environment by a movable surveying instrument configured to be carried by a human with a progressional capturing of 2D-images by at least one camera and applying a visual simultaneous location and mapping algorithm (VSLAM) or a visual inertial simultaneous location and mapping algorithm (VISLAM) with a progressional deriving of a sparse evolving point cloud of at least part of the environment, and a progressional deriving of a trajectory of movement. The method comprises a progressional matching of the sparse evolving point cloud with a known CAD-geometry, with a minimizing of a function configured to model a distance between the sparse point cloud and the known CAD-geometry and deriving a spatial localization and orientation of the surveying instrument. At least one surveying measurement value of the environment by a spatial measurement unit is combined with the sparse point cloud or the plan information.

A method for image-based point measurement includes moving a surveying system along a path through a surrounding and capturing a series of images of the surrounding. A subset of images are defined as frames and a subset of frames are defined as key-frames. Textures are identified in first and second frames and are tracked in successive frames to generate first and second frame feature lists. A structure from motion algorithm is used to calculate camera poses for the images based on the first and second frame feature lists. Corresponding image points in images of the series of images are identified using feature recognition in at least a plurality of images. Three-dimensional coordinates of the selected image point are determined using forward intersection with the poses of the subset of images in which corresponding image points are identified. The three-dimensional coordinates of the selected image point are presented to the user.

A method for image-based point measurement includes moving a surveying system along a path through a surrounding and capturing a series of images of the surrounding. A subset of images are defined as frames and a subset of frames are defined as key-frames. Textures are identified in first and second frames and are tracked in successive frames to generate first and second frame feature lists. A structure from motion algorithm is used to calculate camera poses for the images based on the first and second frame feature lists. Corresponding image points in images of the series of images are identified using feature recognition in at least a plurality of images. Three-dimensional coordinates of the selected image point are determined using forward intersection with the poses of the subset of images in which corresponding image points are identified. The three-dimensional coordinates of the selected image point are presented to the user.

Versatile and convenient safety management of a construction machine is achieved. Construction machines and workers are photographed by a camera of a surveying apparatus. The images of a construction machine and a worker are identified in the photographic image. The positions of the construction machine and the worker that are identified in the photographic image are measured by the surveying apparatus with the use of laser light. The separation distance between the construction machine and the worker in which the positions are measured is calculated. In the case in which the calculated separation distance is at a threshold or less, a warning is issued to the construction machines and the workers.

Versatile and convenient safety management of a construction machine is achieved. Construction machines and workers are photographed by a camera of a surveying apparatus. The images of a construction machine and a worker are identified in the photographic image. The positions of the construction machine and the worker that are identified in the photographic image are measured by the surveying apparatus with the use of laser light. The separation distance between the construction machine and the worker in which the positions are measured is calculated. In the case in which the calculated separation distance is at a threshold or less, a warning is issued to the construction machines and the workers.

Disclosed is an air-ground integrated landslide monitoring method and device. The monitoring method comprises the following steps: step one, performing high-precision (centimeter-level) vertical aerial photogrammetry and oblique photogrammetry on a monitored area by using an unmanned aerial vehicle, and quickly generating a digital topographic map, a digital orthographic map and a digital surface model; step two, performing accurate and intensive monitoring on the monitored area through a monitoring device; and step three, finally sending obtained data to a processor, and after the monitoring data are processed by the processor, sending the data to a remote-control center, so that real-time transformation and spatialization of dynamic landslide monitoring information are achieved. The present disclosure also provides a landslide monitoring device. The landslide monitoring device comprises a control box, a bottom plate and an unmanned aerial vehicle.