A system or method for an imaging system is provided for inspecting a heliostat. The imaging system includes a platform and a camera mounted on the platform and a heliostat having a plurality of mirrored facets. The camera is positioned to acquire a first image that serves as a reference image and a second image that is a reflected image from at least one facet. The camera stores image data associated with the first image and the second image, and wirelessly transmits the stored image data to a computing apparatus. The computing apparatus compares the first image with the second image and determines a performance parameter associated with the heliostat.

The present invention relates to a control method for a control apparatus for an aircraft, the control apparatus including a communication unit and a processor. The control method includes receiving an address of a delivery location to which a delivery product is to be delivered, and controlling an aircraft by means of the communication unit to deliver the delivery product to the delivery location, in which the controlling of the aircraft by means of the communication unit includes selecting, on the basis of the address, any one of a plurality of delivery criteria that defines an area into which the aircraft is to unload the delivery product, establishing a delivery area and a flight lane to the delivery area on the basis of the delivery criterion, controlling the aircraft to allow the aircraft to fly along the flight lane, and controlling the aircraft to unload the delivery product into the delivery area when the aircraft reaches the delivery area.

A conveyance system according to the present disclosure includes a conveyance vehicle configured to travel along a guide line laid on a traveling road. The conveyance vehicle includes: a guide line detection unit configured to detect the guide line; an object position detection unit configured to detect information on a position of an object around the conveyance vehicle; and a stop position determination unit configured to determine a stop position of the conveyance vehicle based on a result of detection by the object position detection unit.

A conveyance system according to the present disclosure includes a host vehicle position estimation unit that detects at least one of a traveled distance of a conveyance vehicle and a position of the host vehicle, and a control switching unit that switches, when the traveled distance or the position of the host vehicle detected by the host vehicle position estimation unit falls within a preset range while the conveyance vehicle is being controlled by an autonomous traveling control unit, a control mode from traveling control by the autonomous traveling control unit to traveling control by a guided traveling control unit.

This application discloses a self-moving device, a method for adjusting a movement trajectory. The device includes a body, an image acquisition module, and a control circuit. The image acquisition module acquires an image in a traveling direction of the body. The control circuit fits, according to the image, a boundary corresponding to a working region in which the self-moving device is located. In response to the body moves toward the boundary and the body and the boundary meet a preset distance relationship, an angle relationship between the traveling direction of the body and the boundary is recognized according to the image, and the body is controlled to steer.

Disclosed is an electronic apparatus. The electronic apparatus includes: a camera; a memory configured to store attribute information and environment information; and a processor configured to identify a plurality of objects based on an image obtained by the camera, identify a first context of a first object, from among the plurality of objects, based on a relationship between attribute information of the plurality of objects and the environment information, and control a traveling state of the electronic apparatus based on the first context.

Disclosed is an electronic apparatus. The electronic apparatus includes: a camera; a memory configured to store attribute information and environment information; and a processor configured to identify a plurality of objects based on an image obtained by the camera, identify a first context of a first object, from among the plurality of objects, based on a relationship between attribute information of the plurality of objects and the environment information, and control a traveling state of the electronic apparatus based on the first context.

Disclosed are a method for dividing a robot area based on boundaries, a chip and a robot. The method includes: setting, when the robot travels along the boundaries in a preset boundary direction in an indoor working area, a reference division boundary line according to data scanned by a laser sensor of the robot in real time; and identifying, after the robot finishes traveling along the boundaries in the preset boundary direction, a door at a position of the reference division boundary line according to image characteristic information of the position of the reference division boundary line acquired by a camera of the robot, and marking the reference division boundary line on a laser map, so as to divide the indoor working area into different room subareas by means of the door.

A travel map creating apparatus includes a position sensor obtaining the positional relationship of an adjacent object relative to the apparatus; a floor map creator creating a floor map based on the positional relationship; a self-position calculator calculating the self-position on the floor map; a marker identifier identifying a marker; a marker position calculator calculating the relative position of the marker to the apparatus; a mode switcher switching the mode of the apparatus between a floor map creation mode and a marker identification mode; a restricted access information generator, based on the floor map, the self-position, and the relative position of the marker, defining a boundary of a restricted area to which the entry of an autonomous mobile robot is prohibited and generating restricted access information including the boundary; and a travel map creator creating a travel map including the defined restricted area based on the restricted access information.

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.