A tracking control method includes obtaining a tracking parameter of a target object. The tracking control method also includes determining a characteristic part of the target object based on the tracking parameter. The tracking control method further includes tracking the target object based on the characteristic part.

Methods, systems, and apparatuses related to autonomous vehicle object detection are described. A method can include receiving, by an autonomous vehicle, an indication that the autonomous vehicle has entered a network coverage zone generated by a base station and performing an operation to reallocate computing resources between a plurality of different types of memory devices associated with the autonomous vehicle in response to receiving the indication. The method can further include capturing, by the autonomous vehicle, data corresponding to an unknown object disposed within a sight line of the autonomous vehicle and performing, using the reallocated computing resources, an operation involving the data corresponding to the unknown object to classify the unknown object.

Systems and methods for an intelligent camera system are provided. A method includes receiving, from a first camera in a vehicle, view data corresponding to an area from a vantage point of the vehicle. The method further includes detecting a region of interest from the view data provided by the first camera. The method also includes providing the region of interest to a second camera in the vehicle. The method further includes receiving, from the second camera, zoom view data corresponding to a zoom view of the region of interest.

Systems and methods for an intelligent camera system are provided. A method includes receiving, from a first camera in a vehicle, view data corresponding to an area from a vantage point of the vehicle. The method further includes detecting a region of interest from the view data provided by the first camera. The method also includes providing the region of interest to a second camera in the vehicle. The method further includes receiving, from the second camera, zoom view data corresponding to a zoom view of the region of interest.

Provided are an image fusion classification method and device. The method includes that: a three-dimensional weight matrix of a hyperspectral image is obtained by use of a Support Vector Machine (SVM) classifier (101); superpixel segmentation is performed on the hyperspectral image to obtain K superpixel images, K being a positive integer (102); the three-dimensional weight matrix is regularized by use of a superpixel-image-based segmentation method to obtain a regular matrix (103); and a class that a sample belongs to is determined according to the regular matrix (104).

Disclosed herein are systems, media, and methods for identifying and assessing topographical features such as vegetation density and surface water using satellite data, comprising: a digital processing device; a database of digital maps, each indicative of grazing area(s); and a computer program to create an application comprising: a software module receiving a first set of satellite data indicative of a first topographical feature of the land; a software module calculating a normalized index array of the first topographic feature for the time period using the first set of satellite data; a software module generating a custom map indicative of density of the first topographical feature; a software module combining the custom map with one of the digital maps to generate a combined map indicative of the density of the first topographical feature within the grazing areas; and a software module allowing a user to visualize or print the combined map.

Disclosed herein are systems, media, and methods for identifying and assessing topographical features such as vegetation density and surface water using satellite data, comprising: a digital processing device; a database of digital maps, each indicative of grazing area(s); and a computer program to create an application comprising: a software module receiving a first set of satellite data indicative of a first topographical feature of the land; a software module calculating a normalized index array of the first topographic feature for the time period using the first set of satellite data; a software module generating a custom map indicative of density of the first topographical feature; a software module combining the custom map with one of the digital maps to generate a combined map indicative of the density of the first topographical feature within the grazing areas; and a software module allowing a user to visualize or print the combined map.

An interactive playground system including a user interface including a speaker and at least one of a microphone and a camera; a plurality of nodes distributed over a surface of the playground system, each one of the nodes including a printed circuit board with at least one sensor and at least one output component connected thereto; and a central unit in data communication with the plurality of nodes. The central unit comprises a memory and a processor; at least one of a speech recognition module and a motion recognition module and an interaction control module in data communication with the at least one of the speech recognition module and the motion recognition module, the speaker and the nodes. The interaction control module implements at least one of conversation instructions through output of audio data on the speaker and game action instructions through control of the output components of the nodes.

An interactive playground system including a user interface including a speaker and at least one of a microphone and a camera; a plurality of nodes distributed over a surface of the playground system, each one of the nodes including a printed circuit board with at least one sensor and at least one output component connected thereto; and a central unit in data communication with the plurality of nodes. The central unit comprises a memory and a processor; at least one of a speech recognition module and a motion recognition module and an interaction control module in data communication with the at least one of the speech recognition module and the motion recognition module, the speaker and the nodes. The interaction control module implements at least one of conversation instructions through output of audio data on the speaker and game action instructions through control of the output components of the nodes.

In one aspect, a system for an agricultural application includes an implement including a frame. The frame includes a center frame section and at least one movable frame section. A first imaging device is installed on the movable frame section. A second imaging device is installed inboard of the movable frame section relative to the center frame section in the unfolded position. A computing system is communicatively coupled to the first imaging device and the second imaging device. When the implement is in the unfolded position, the computing system receives image data associated with an imaged environment outward of the implement from the first imaging device. When the implement is in the folded position, the computing system receives image data associated with an imaged environment outward of the implement from the second imaging device.