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This depends on a lot of things. What kind of sensors? Are they stationary? Are they at least fixed with respect to each other?

For example, if you have a system of multiple cameras that are fixed with respect to each other, you can calibrate them, so that you know their relative positions and orientations. Then not only will you be able to determine whether two detections in different cameras are the same object, but you will be able to determine its position in 3D.

Here is the classic paper on camera calibration. To actually do the calibration you can either use OpenCV or the Caltech Camera Calibration Toolbox for Matlab. OpenCV has an example application for camera calibration which is easier to use than the Caltech toolbox.

This depends on a lot of things. What kind of sensors? Are they stationary? Are they at least fixed with respect to each other?

For example, if you have a system of multiple cameras that are fixed with respect to each other, you can calibrate them, so that you know their relative positions and orientations. Then not only will you be able to determine whether two detections in different cameras are the same object, but you will be able to determine its position in 3D.

This depends on a lot of things. What kind of sensors? Are they stationary? Are they at least fixed with respect to each other?

For example, if you have a system of multiple cameras that are fixed with respect to each other, you can calibrate them, so that you know their relative positions and orientations. Then not only will you be able to determine whether two detections in different cameras are the same object, but you will be able to determine its position in 3D.

Here is the classic paper on camera calibration. To actually do the calibration you can either use OpenCV or the Caltech Camera Calibration Toolbox for Matlab. OpenCV has an example application for camera calibration which is easier to use than the Caltech toolbox.

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source | link

This depends on a lot of things. What kind of sensors? Are they stationary? Are they at least fixed with respect to each other?

For example, if you have a system of multiple cameras that are fixed with respect to each other, you can calibrate them, so that you know their relative positions and orientations. Then not only will you be able to determine whether two detections in different cameras are the same object, but you will be able to determine its position in 3D.