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Drone Camera With Laser Rangefinder
Drone Camera With Laser Rangefinder
The drone camera with laser rangefinder can help to enhance collaborative efforts between aerial and ground inspection teams in a variety of applications.drone camera with laser rangefinder From wildfire hotspot detection to public safety operations, this powerful capability can significantly improve situational awareness for both teams.
To achieve this goal, the drone camera must be able to detect its own position with high accuracy.drone camera with laser rangefinder This can be challenging because of the small size of most drone cameras and the need to accurately read position data. In this article, we present an adaptive drone camera position tracker that can automatically determine the camera’s positioning with a maximum error of 3 cm on the Y-axis and 5 cm on the Z-axis.
The tracker is based on the Intel RealSense depth-sensing camera connected to a processor board. The camera generates a matrix board that contains position information for each of the X, Y, and Z coordinates of a target object. This information is compared with the drone camera’s position data to identify the object and its location on the X-Y plane. The tracker then uses a predictive algorithm to follow the drone camera.
To increase the tracking accuracy, the sensor can be set to detect only a certain region of the target field of view (FoV). If the target moves out of this region, it is not detected and the tracker continues to operate on the remaining part of the FoV. For better accuracy, the FoV is set to be centered at the drone camera’s lens.
This method requires a high processing speed to be able to track the drone camera at high speeds. It is not suitable for fast patterns of search target tracking because it takes too long to read the position of the drone camera from the sensor and then adjust the laser irradiation point accordingly.
A solution to this problem is to use the sensor’s output signal to control a drone motor tracker that is able to keep up with the drone’s speed. This is not an ideal solution because the drone camera cannot remain in the center of the camera FoV and may leave the area of the target object.
The most reliable way to overcome this limitation is to use an adaptive drone camera position tracker that combines drone and drone camera detection and can predict the drone camera’s location using its own position information. The tracker can then quickly and accurately follow the drone camera and the target object simultaneously. This approach is a promising technology for improving collaboration between aerial and ground teams and enhancing public safety operations. We hope to further develop this technology in the future. The authors have no known competing financial interests or personal relationships that could appear to influence the work reported herein. The research was funded by the HORIZON EUROPE Widening participation and spreading excellence INNO2MARE project grant number 101087348. This article is available open access through the publisher’s website at http://onlinelibrary.wiley.com/doi/10.1111/jmu.2019.03506.x/full.
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