Disclosed are a visual positioning device (101) and a three-dimensional surveying and mapping system (100) including at least one visual positioning device (101). The visual positioning device (101) includes an infrared light source (101b), an infrared camera (101a), a signal transceiver module (101d) and a visible light camera (101c). The three-dimensional surveying and mapping system (100) further includes a plurality of position identification points (102), a plurality of active signal points (103) and an image processing server (104). The image processing server (104) is configured to cache infrared images and real scene images shot by the infrared camera (101a) and the visible light camera (101c) and positioning information thereabout and store a three-dimensional model obtained through reconstruction. The present invention has the advantages of simple structure, no need for a power supply, convenience in use and high precision, etc.

A control system for a machine including a perception system comprising at least one sensor disposed on the machine and generating data signals pertaining to the machine and an environment associated with the machine and a controller communicably coupled to the perception system for receiving the data signals from the at least one sensor and determining from the data signals terrain features associated with the work site and presence of one or more objects on the work site or the machine, determining geometry of the at least one sensor, location of the at least one sensor on the machine, generating a field of view for the at least one sensor, estimating cast shadow for at least one object of the one or more objects based on the geometry and location of the at least one sensor and comparing the field of view with the cast shadow to determine sensor blockage.

A method for determining a distance between an image sensor and an object includes acquiring a first image for an object and a second image distinguished from the first image, using a cut-off filter for cutting off one of R G and B signals, and determining a distance between the image sensor and the object.

A method for determining a distance between an image sensor and an object includes acquiring a first image for an object and a second image distinguished from the first image, using a cut-off filter for cutting off one of R G and B signals, and determining a distance between the image sensor and the object.

Embodiments of systems and methods for a mobile mapping system are described. In an embodiment, a method includes capturing a plurality of images of an object point using a mobile computing platform. The method may also include determining an initial set of orientation parameters in response to one or more orientation sensors on the mobile computing platform. Additionally, the method may include calculating a corrected set of orientation parameters by matching object points in the plurality of images. Further, the method may include estimating a three-dimensional ground coordinate associated with the captured images in response to the corrected set of orientation parameters.

The invention relates to an optical measuring system (1) and to a method for measuring an object (9) in a three-dimensional manner. The measuring system (1) has at least one lens array (5), a first convex lens (6) arranged downstream, a second convex lens (8) which is arranged further downstream and which faces an object (9) to be measured, and additionally a means (7) which absorbs incident light or deflects incident light out of the illuminating beam path and which is arranged upstream of the second convex lens (8) or on the second convex lens (8) on a second convex lens (8) face facing the first convex lens (6) in the region of the optical axis (10).

A method for improved image acquisition for photogrammetry includes focusing a camera on one end of an object, capturing one or more images of the object, incrementally adjusting the focal length of the camera toward the opposite end of the object, and capturing images at each new focal length. Once the object has been photographed at varying focal lengths that run the entire length of the object, the multitude of images are then combined using focus stacking to create a singular image that is more in focus for the entire length of the object. A method for utilizing thermographic cameras to aid in the acquisition of images for photogrammetry includes applying thermal textures to the object and isolating an object from the background due to thermal differences.

A high-definition map system receives sensor data from vehicles travelling along routes and combines the data to generate a high definition map for use in driving vehicles, for example, for guiding autonomous vehicles. A pose graph is built from the collected data, each pose representing location and orientation of a vehicle. The pose graph is optimized to minimize constraints between poses. Points associated with surface are assigned a confidence measure determined using a measure of hardness/softness of the surface. A machine-learning-based result filter detects bad alignment results and prevents them from being entered in the subsequent global pose optimization. The alignment framework is parallelizable for execution using a parallel/distributed architecture. Alignment hot spots are detected for further verification and improvement. The system supports incremental updates, thereby allowing refinements of sub-graphs for incrementally improving the high-definition map for keeping it up to date

A high-definition map system receives sensor data from vehicles travelling along routes and combines the data to generate a high definition map for use in driving vehicles, for example, for guiding autonomous vehicles. A pose graph is built from the collected data, each pose representing location and orientation of a vehicle. The pose graph is optimized to minimize constraints between poses. Points associated with surface are assigned a confidence measure determined using a measure of hardness/softness of the surface. A machine-learning-based result filter detects bad alignment results and prevents them from being entered in the subsequent global pose optimization. The alignment framework is parallelizable for execution using a parallel/distributed architecture. Alignment hot spots are detected for further verification and improvement. The system supports incremental updates, thereby allowing refinements of sub-graphs for incrementally improving the high-definition map for keeping it up to date

A displacement measurement device includes: a first machine learning model trained to generate, from one image which contains a subject and has noise, at least one image which contains the subject and which has noise or has had noise removed; a first obtainer that obtains a first image which contains the subject and has noise and a second image which contains the subject and has noise; a first generator that, using the first machine learning model, generates M template images containing the subject from the first image and generates M target images containing the subject from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.