Researchers have developed a UAV system for search and rescue operations that uses deep learning and an EKF algorithm to fuse data from depth cameras and monocular cameras, accurately estimating distances between the drone and human targets. This innovation improves real-time tracking and following capabilities, reducing estimation errors by up to 15.3%, thereby enhancing safety and efficiency in SAR missions.
Read the full article at arXiv cs.AI (Artificial Intelligence)
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