Study the Effect of Depth Camera Inclination towards the Obstacle Avoidance in Autonomous Drone Navigation

Teh, Zhen Wye (2025) Study the Effect of Depth Camera Inclination towards the Obstacle Avoidance in Autonomous Drone Navigation. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

Flying drones in dense environments at low altitude, with obstacles such as trees and power lines is a hard problem. The speed and mobility of flight make it difficult for traditional obstacle avoidance schemes with fixed-angle depth cameras to accurately discern dynamic objects. The fact that the drone inclination is fixed means there will be blurring of motion when it slants to go forward, which would affect its ability to detect obstacles in time. To amplify current solutions by providing a dynamic angle approach to, instead of fixed-angle detection for this project The drone flies, adjusting the angle of its depth camera while in air to map and detect obstacles more accurately in three dimensions. It allows the drone to independently fly into messy places more precisely and reliably, in a way that is less dangerous. Dynamic 3D mapping enhances safety and operational efficiency, which makes perfect for surveillance purposes like search & rescue or environmental monitoring.