Skycatch, Inc.

Christian Sanz

Samuel Giles Miller

David Chen

Behrooze Sirang

Jonathan Shyaun Noorani

Leonardo Felipe Romo Morales

Manlio Francisco Barajas Hernandez

Ambar Pansari

Pablo Arturo Martinez Gonzalez

Systems and methods are disclosed for more efficiently and quickly utilizing digital aerial images to generate models of a site. In particular, in one or more embodiments, the disclosed systems and methods capture a plurality of digital aerial images of a site. Moreover, the disclosed systems and methods can cluster the plurality of digital aerial images based on a variety of factors, such as visual contents, capture position, or capture time of the digital aerial images. Moreover, the disclosed systems and methods can analyze the clusters independently (i.e., in parallel) to generate cluster models. Further, the disclosed systems and methods can merge the cluster models to generate a model of the site.

Converting digital aerial images into a three-dimensional representation utilizing processing clusters

Combined ground station and case for unmanned aerial vehicle

The present disclosure is directed toward systems and methods for autonomously landing an unmanned aerial vehicle (UAV). In particular, systems and methods described herein enable a UAV to land within and interface with a UAV ground station (UAVGS). In particular, one or more embodiments described herein include systems and methods that enable a UAV to conveniently interface with and land within a UAV ground station (UAVGS). For example, one or more embodiments include a UAV that includes a landing base and landing frame that interfaces with a landing housing of a UAVGS.

Unmanned aerial vehicle landing interface

The present disclosure is directed toward systems and methods for enabling autonomous landing of an unmanned aerial vehicle. For example, systems and methods described herein enable autonomous landing of the unmanned aerial vehicle by providing an unmanned aerial vehicle ground station with various guidance systems for guiding the autonomous landing. In some embodiments, the guidance systems enable autonomous landing by providing one or more LEDs. In other embodiments, the guidance systems enable autonomous landing by providing various types of transmitted energy waves. In at least one embodiment, the guidance systems enable autonomous landing by providing a two-stage landing system that includes two or more types of transmitted energy.

Autonomously landing an unmanned aerial vehicle

The present disclosure is directed toward systems and methods for identifying changes to a target site based on aerial images of the target site. For example, systems and methods described herein generate representations of the target site based on aerial photographs provided by an unmanned aerial vehicle. In one or more embodiments, systems and method described herein identify differences between the generated representations in order to detect changes that have occurred at the target site.

Growing community of inventors

San Francisco, CA, United States of America

Christian Sanz