Photogrammetry/Videogrammetry TRIZ Cases

Monocular camera and IMU fusion estimate longitudinal, lateral, and vertical trailer coupler distance for more accurate real-time hitching.

Correlating vehicle location timestamps with aircraft video builds richer training data for more accurate runway incursion detection.

Correlating vehicle location timestamps with aircraft video frames builds richer training data for more accurate runway incursion detection.

Automated vehicle surveying combines robotic staking, camera capture, and ground penetrating radar to cut manual site survey time and improve accuracy.

Two aligned flight routes with different camera projection orientations shorten UAV surveys of rivers, roads, and pipelines while improving mapping accuracy.

Software agents detect or predict device issues, then trigger workflow changes and task reassignment to keep work running.

A ground laser tracker and retro-reflector let a UAV keep position and measure large structures where GPS signals are blocked.

Automated UAV blade inspection links each image to pose data, improving defect localization, coverage, and digital documentation.

Flying below the canopy, a UAV uses LIDAR and imaging to measure tree diameters accurately while cutting field time and manual sampling.

Structured light from a second mobile vehicle adds detectable features, improving 3D surface surveying accuracy on optically uniform surfaces.

By comparing road regions from camera images and stored maps, this case filters shielded areas like tunnels and overpasses to avoid map update errors.

Periodic pointing and immobilization keep optical and laser sightlines fixed, enabling sharp Earth imaging and efficient laser image transfer.

Digital images and public works markings are combined to map buried utilities more precisely, reducing excavation damage risk.

Photogrammetry lets a leader device size target objects and switch follower imaging programs, avoiding slow, error-prone manual configuration.

A two-phase scan identifies objects across the FOV, then concentrates energy pulses on selected regions for richer point clouds.

Onboard sensors enable incremental mapping without external landmarks, reducing system complexity while maintaining localization accuracy.

Fuses camera images with millimeter wave radar point clouds to enhance perception capabilities in complex environments.

Selective matching of consecutive and non-consecutive image pairs establishes optical flow for aerial image mosaic generation.

Gimbal camera apparatus performs surround shooting to capture character image information, generating search data that prevents theft and reduces user loss.

Photogrammetric registration aligns captured imagery to a 3D depth model for spatial compression.

A fence post layout system uses LIDAR sensors to map site topography for precise post placement.

Merges laser projector and videogrammetry devices to measure surface angles and geometry simultaneously, reducing fabrication measurement time.

Angular sensors on an instrumented aircraft measure elevation angles to calculate obstruction heights, resolving geometric errors from aerial stereography.

A projection sensor device detects reflected light patterns to determine spatial information on surfaces.

A method calculates attitude error matrices from single image ground control points to correct three-dimensional sensor misalignment.

A calibration unit computes coordinate transformation candidates to determine sensor position and orientation without manual input.

A volatile diamondoid composition forms a thin antireflective layer on complex surfaces to enable accurate optical measurement.

Virtual modeling system generates wire frameworks draped with 3D images to eliminate feature code interpretation errors during site surveys.

A crowdsourced image analysis platform aggregates user tags using a configurable agreement radius to determine precise target locations.

A 3D scanner adjusts projection patterns to maintain triangulation accuracy across varying surface conditions.

A simulation device estimates satellite image production time using a mesh grid and orbital characteristics.

A processing system translates image raster content into relative pixel coordinates for external operator devices.

Ground-based cameras track aircraft position and velocity to eliminate GPS interference and ensure safe recovery.

A control device adjusts a graphical distance display size using non-linear scaling to improve position resolution near the coupling point.

A distributed adaptive geopositioning system maintains and reuses heritage information to link image and ground space data.

A camera device determines its own dimensions from a mirror reflection to calibrate absolute length measurements.

Merges positioning circuitry with orientation sensors to eliminate external equipment while minimizing antenna interference via local quality placement.

Ground base stations convert surveying instrument polar coordinates to orthogonal data, enabling precise UAV navigation in GPS-denied environments.

A laser scanner system uses GNSS positioning to acquire and combine point cloud data from multiple installation locations.

Structured light projects onto wheels to generate 3D point clouds, replacing cumbersome mechanical aids with optical accuracy.

A head mounted display uses a variable focal length lens to calculate eye relief distance from sequential images.

Optical character recognition identifies towed trailers to configure dynamic blind zones, reducing false alerts from generic detection settings.

Photogrammetry calculates pitch and yaw offsets to replace time-consuming mechanical alignment of vehicle radar units.

Automated detection and classification of rail infrastructure objects enable precise condition assessment for maintenance planning.

A sensor fusion system combines GPS, IMU, and vision data to determine precise positional information for movable objects.

Segmenting color images into perpendicular scan lines reduces computational load while maintaining accurate real-time navigation.

A calibration method uses filled circular discs on test charts to align print heads and cameras with automated image processing.

Machine vision determines imaging orientation to map detector signals into accurate coordinates, eliminating distortion on curved sidewalls.

A fiducial marker design uses color space transformation to standardize partial area properties for reliable computer vision detection.

Position-dependent weighting filters invalid positional values from optical scans, resolving measurement contradictions in web running control systems.

A 3D image recording unit captures surface data from a single position using an external measuring apparatus to determine orientation.