Altitude Optimization Based on TF Mini Plus LiDAR as a Guided System for Autonomous Drones in Inventory Management

Abstract

This research is an in-depth look at optimizing drone operations by integrating LiDAR sensors for more advanced altitude control, with a particular focus on inventory management. This study evaluates the performance of drones using three main sensors: Benewake TFmini Plus LiDAR, IMU Intel Realsense Tracking Camera, and Pixhawk Barometer. Autonomous drone missions included 5-meter and 10-meter forward flights, as well as obstacle recognition scenarios. Measurement datasets from 50 cm to 500 cm at 50 cm intervals were used as the basis for comparison of sensor accuracy and consistency. The experimental results illustrate the drone's dynamic response to LiDAR under various flight conditions, highlighting its adaptability and precision. This research makes a significant contribution to the understanding of the effectiveness of LiDAR sensors in height measurement, particularly in the context of inventory management in complex indoor environments. The findings stimulate further discussion on the potential development of autonomous drone technology for inventory management in the future.