The present invention relates to an autonomous follower vehicle configured for following a guide element. The autonomous follower vehicle wirelessly determines the location of the guide element, maps the location of the guide element over time as a path, and controls a drive system on the autonomous vehicle to follow the same path traversed by the guide element, preferably using inertial navigation.

An information processing apparatus according to an embodiment of the present technology includes: a calculation unit. The calculation unit calculates a self-position of an own device that moves with a moving object, in accordance with a first movement state of a moving object and a second movement state of the own device, on a basis of first movement information relating to the moving object and second movement information relating to the own device. As a result, it is possible to improve detection accuracy. Further, it is possible to improve the accuracy and reliability of the self-position. Since no displacement of the self-position occurs even in a movement space, it is possible for a drone flying in the air to avoid collision with obstacles in the movement space.

An information processing apparatus according to an embodiment of the present technology includes: a calculation unit. The calculation unit calculates a self-position of an own device that moves with a moving object, in accordance with a first movement state of a moving object and a second movement state of the own device, on a basis of first movement information relating to the moving object and second movement information relating to the own device. As a result, it is possible to improve detection accuracy. Further, it is possible to improve the accuracy and reliability of the self-position. Since no displacement of the self-position occurs even in a movement space, it is possible for a drone flying in the air to avoid collision with obstacles in the movement space.

A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

A repellence system and method for repelling animals. The repellence system includes an imaging device arranged to generate image data from a surveillance area, one or more deterrence devices arranged to carry out deterrence actions for repelling animals and an repellence sub-system having one or more processors and memory storing instructions for execution by the one or more processors. The repellence sub-system being configured to receive image data of the surveillance area from the imaging device, detect an animal in the image data, identify animal species of the detected animal in the image data, provide species specific deterrence instructions to the one or more deterrence devices based on the identified animal species.

A repellence system and method for repelling animals. The repellence system includes an imaging device arranged to generate image data from a surveillance area, one or more deterrence devices arranged to carry out deterrence actions for repelling animals and an repellence sub-system having one or more processors and memory storing instructions for execution by the one or more processors. The repellence sub-system being configured to receive image data of the surveillance area from the imaging device, detect an animal in the image data, identify animal species of the detected animal in the image data, provide species specific deterrence instructions to the one or more deterrence devices based on the identified animal species.

A handheld module including a battery, an electro-mechanical interface, and a display. The electro-mechanical interface is configured to attach the handheld module to an image capture module, wherein when attached to the image capture module, the handheld module forms a communication link to the image capture module via the electro-mechanical interface and supplies power from the battery to the image capture module via conductors of the electro-mechanical interface. The display is configured to present images captured by the image capture module and received from the image capture module via the communication link.

A handheld module including a battery, an electro-mechanical interface, and a display. The electro-mechanical interface is configured to attach the handheld module to an image capture module, wherein when attached to the image capture module, the handheld module forms a communication link to the image capture module via the electro-mechanical interface and supplies power from the battery to the image capture module via conductors of the electro-mechanical interface. The display is configured to present images captured by the image capture module and received from the image capture module via the communication link.

An unmanned aerial vehicle (UAV) having an envelope and a drone body capable of delivering packages is disclosed. Methods for utilizing UAVs to deliver packages and systems for housing UAVs are also disclosed. In one aspect, a UAV includes a dual cavity envelope having an ellipsoid shape with a first internal cavity and a second internal cavity, the first internal cavity configured to hold a lighter than air gas, the second internal cavity configured to hold a heated gas, and a drone body attached to and located below the dual cavity vertical envelope.

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.