Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.

The present disclosure relates to improvements in systems and methods in acquiring images via imaging devices, where such imaging devices can be configured, in some implementations, with an unmanned aerial vehicle or other vehicle types, as well as being hand-held. Images are acquired from the imaging devices according to capture plans where useful information types about a structure of interest (or objects, items, etc.) can be derived from a structure image acquisition event. Images acquired from capture plans can be evaluated to generate improvements in capture plans for use in subsequent structure image acquisition events. Capture plans provided herein generate accurate information as to all or part of the structure of interest, where accuracy is in relation to the real-life structure incorporated in the acquired images.

A mobile robot and a method by which a mobile robot crosses a crosswalk. The method by which a mobile robot crosses a crosswalk includes steps in which the mobile robot: detects the crosswalk; detects the movement of at least one pedestrian within a predetermined range from the crosswalk; determines, on the basis of the detected movement of the at least one pedestrian, whether the traffic lights of the crosswalk indicate a walking signal; and crosses the crosswalk if it is determined that the traffic lights indicate the walking signal.

The present disclosure provides a bird's-eye view data generating device including a memory; and at least one processor coupled to the memory.

Various arrangements are provided for using an unmanned aerial vehicle with a home automation system. The home automation host system may determine that a home automation event has occurred. The system may determine to perform unmanned aerial vehicle (UAV) surveillance of the home in response to the home automation event. Deployment of a UAV may be triggered in response to determining to perform the UAV surveillance of the home. Video may then captured by the UAV of a portion of the home, possibly corresponding to the location of the home automation event. The video captured by the UAV of the portion of the home in association with an indication of the home automation event that triggered deployment of the UAV may be recorded.

Systems, apparatuses and methods are provided herein for providing monitoring premises. In one embodiment, a system for monitoring premises comprises: an unmanned aerial vehicle (UAV) comprising a three dimension (3D) scanner, a baseline model database, and a control circuit comprising a communication device for communicating with the UAV. The control circuit being configured to: instruct the UAV to travel to a monitored premises and perform a 3D scan with the 3D scanner to obtain a 3D point cloud of the monitored premises, compare a current state of the one or more features in the 3D point cloud of the monitored premises with a baseline state in a baseline state model, and identify a deviation of the current state of the one or more features of the monitored premises from the baseline state.

Systems, apparatuses and methods are provided herein for providing surveying premises of a customer. In one embodiment, a system for surveying premises of a customer comprises: an unmanned aerial vehicle (UAV) comprising a three dimension (3D) scanner and an image sensor, and a control circuit comprising a communication device configured to communicate with the UAV. The control circuit being configured to: receive, from a customer, a premises location, instruct the UAV to travel to the premises location to collect a set of data, form a 3D point cloud model of the premises based on 3D data collected by the 3D scanner of the UAV, identify one or more features of the premises based on the 3D point cloud model and image data collected by the image sensor of the UAV, and generate a recommendation to the customer based on the one or more features of the premises.

A method of delivering parcels in two stages. A vehicle transports the parcel to a transfer point using address information from a shipping party. The first vehicle is designed for operation on the pubic road system. The parcel is transferred to a secondary vehicle for delivery to the final delivery point. The second vehicle which may one vehicle or multiple vehicles with multiple parcels finishes the delivery. The second vehicle is autonomous and adapted to use off of public roads or in smaller spaces. It relies on information provided by the recipient or the location controller of the area for the second delivery segment. The information may define a geometric path for the vehicle to traverse or may be information to pass restrictions such as locked doors in the final delivery path. The method provides advantages of efficiency, security and late provision of final delivery information.

A control system for controlling a mobile object that is able to move autonomously in an area in which a pedestrian is able to move and moves to follow a target pedestrian performs: recognizing an object near the target pedestrian and the mobile object; determining a stop position other than a set area which the mobile object is prohibited from entering as a stop position based on a type of the set area when the target pedestrian enters the set area; and stopping following the target pedestrian and moving the mobile object to the determined stop position.

A control system is a control system that controls a mobile object moving autonomously in an area in which a pedestrian is able to move, and recognizes objects around the mobile object, identifies a candidate area that is an area in which the mobile object stops when a specific event occurs, refers to information on a plurality of candidate areas, identifies the candidate area that is the candidate area that is obtained by excluding the candidate area in which the object interferes from the plurality of candidate areas and that corresponds to a priority, and moves the mobile object to the identified candidate area.