Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for performing privacy-aware surveillance with a security camera drone. The drone obtains image data using an imaging device and processes the image data to detect an object external to the drone. In response to processing the image data, the drone determines multiple viewing angles indicated in the image data with respect to the object. Based on the image data and the multiple viewing angles, a first section of the area for surveillance and a second, different section of the area to be excluded from surveillance are identified. The drone determines an adjustment to at least one of the multiple viewing angles to cause the second section to be excluded from surveillance. Based on the adjustment, the drone controls the imaging device to exclude the second section from surveillance imagery obtained by the drone.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

An autonomous mobile object control method according to the present disclosure is an autonomous mobile object control method for controlling a driving unit that causes a body to move, the autonomous mobile object control method including: a first step of determining an approach route that is a route to be followed by the autonomous mobile object to a starting point outside an elevator, and of moving the body by controlling the driving unit based on the approach route; and a second step of determining a boarding route that is a route to be followed by the autonomous mobile object from the starting point to an end point inside the elevator, and of moving the body by controlling the driving unit based on the boarding route.

Systems and methods for generating a coverage field for obstacle detection. The system includes a sensor to detect obstacles. The system further includes a material handling vehicle guided by a guidance system and a controller. The controller is configured to: generate a coverage field for the sensor, receive position characteristics of the material handling vehicle, determine a position of the material handling vehicle relative to the guidance system based on the position characteristics, and transform the coverage field based on the determined position of the material handling vehicle.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

A mobile robot of the present disclosure includes: a traveling unit configured to move a main body; a lidar sensor configured to acquire terrain information outside the main body; a camera sensor configured to acquire an image outside the main body; and a controller configured to fuse the image and a detection signal of the lidar sensor to select a front edge for the next movement and set a target location of the next movement at the front edge to perform mapping travelling. Therefore, in a situation where there is no map, the mobile robot can provide an accurate map with a minimum speed change when travelling while drawing the map.

A electronic device comprising a sensor unit, a memory, and at least one processor that: obtains, by the sensor unit, first sensing data including an image captured at the location; obtains map information on the basis of the first sensing data; combines the first sensing data and the second sensing data to obtain first mapping information and stores same in the memory; obtains second mapping information by removing data corresponding to a pre-configured condition corresponding from the stored first mapping information; identifies spatial information including feature data corresponding to a space included in the map information on the basis of the second mapping information; and controls traveling of the electronic device on the basis of the map information and the spatial information.

Provided is a path adaptation system and method for a self-driving vehicle, and a self-driving vehicle including path adaptation technology. The method includes providing a vehicle navigation path through an environment; determining a location of the vehicle relative to the path; generating one or more polygons representing a shape of the vehicle projected from the vehicle location in a vehicle travel direction long the path; combining the one or more projections into a projected motion polygon; acquiring object information representing an object shape from one or more sensors; and determining if the object shape overlaps the projected motion polygon. If so, the method includes adjusting the vehicle navigation. If not, the method includes, continuing navigation along the path. The path adaptation system includes one or more processors configured to execute the path adaptation method.