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Autonomous Drone Mapping in Forests by shambhavipanchal8 is a document available to read on EtoBox.

This document presents a novel autonomous Micro Aerial Vehicle (MAV) system designed for under-canopy navigation in forests, utilizing cost-effective visual and inertial sensors instead of LiDAR. The system employs visual-inertial simultaneous localization and mapping (VI-SLAM) combined with a volumetric occupancy submapping approach to facilitate scalable mapping and safe path planning. Validation in real and simulated environments demonstrates successful navigation through dense forests without collisions

Author
shambhavipanchal8
Language
EN