An information processing apparatus according to an embodiment of the present disclosure includes a control unit that controls automatic following with respect to a target in a shooting region for a visible image to cause the target located in a position corresponding to a characteristic temperature distribution included in thermographic image data to be included in the shooting region. The thermographic image data is data obtained by shooting an image in response to a command to start the automatic following.

An IR illuminator provides infrared radiation for a digital camera that includes a camera lens including a camera field of view; also including equidistant mounting substrates arranged adjacent to the digital camera with IR LEDs mounted to each mounting substrates and a cover lens positioned over the IR LEDs. The free-form cover lens shape facilitates an emitted radiation emission pattern but prevents visible light reflectivity into the camera lens such that the IR radiation emission pattern has an asymmetric field of view. Two IR illuminators near the camera are angled away from the camera optical direction. The cover lens may be a Fresnel lens, may include a diffractive layer or a collimator to shift radiation emitted from the LED towards an asymmetric distribution.

A method implements multimodal four-dimensional panoptic segmentation. The method includes receiving a set of images and a set of point clouds and executing an image encoder model using the set of images to extract a set of image feature maps. The method further includes executing a point voxel encoder model using the set of image feature maps and the set of point clouds to extract a set of voxel features, a set of image features, and a set of point features and executing a panoptic decoder model using the set of voxel features, the set of image features, the set of point features, and a set of queries to generate a semantic mask and a track mask. The method further includes performing an action responsive to at least one of the semantic mask and the track mask.

Embodiments of the disclosure provide an unmanned vehicle system, including a plurality of unmanned vehicles. The plurality of unmanned vehicles include a first unmanned vehicle and a second unmanned vehicle. The first unmanned vehicle provides an information pattern, wherein the information pattern indicates a control information. The second unmanned vehicle acquires the control information by identifying the information pattern.

A system includes a mobile body detector configured to detect mobile body information, a position estimation unit configured to estimate at least any one of a position and an orientation of the mobile body, a controller configured to generate a control command for causing the mobile body to travel via remote control, and a blind spot detector configured to detect blind spot information.

Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and/or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.

The present disclosure provides an autonomous mobile device. The autonomous mobile device includes a device main body, provided with a buffer component on a front side of the device main body; a line laser module, arranged on at least one of the device main body and the buffer component and located between the buffer component and the device main body, wherein the line laser module includes a camera device configured to capture an environmental image and a first window is arranged at a position on the buffer component corresponding to the camera device to enable external ambient light to enter the camera device; and an infrared fill-in lamp, arranged on the buffer component

Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and/or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.

A method for determining an ego pose of a mobile system and creating a surfel map of a surrounding area of the mobile system via an optimization problem represented by a factor graph includes the steps of: receiving environment sensor data generated by an environment sensor attached to the mobile system, wherein the environment sensor surveys the surrounding area of mobile system, and wherein the environment sensor data represent the surrounding area of the mobile system as a point cloud; generating surfels by converting the point cloud of the received environment sensor data into surfel data; identifying new surfels and known surfels in the generated surfels by comparing the surfel data with the surfel map; and adding a surfel factor for the known surfels to the factor graph and/or adding a surfel node and a surfel factor for the new surfels to the factor graph.

A navigation control system for an autonomous vehicle comprises a transmitter and an autonomous vehicle. The transmitter comprises an emitter for emitting at least one signal, a power source for powering the emitter, a device for capturing wireless energy to charge the power source, and a printed circuit board for converting the captured wireless energy to a form for charging the power source. The autonomous vehicle operates within a working area and comprises a receiver for detecting the at least one signal emitted by the emitter, and a processor for determining a relative location of the autonomous vehicle within the working area based on the signal emitted by the emitter.