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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42200

Advanced Micro Drone with LIDAR-Enabled Obstacle Detection and Proximity Sensing

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-

Subject:

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Paper ID:

IJSREM42200

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Dr. Nilesh Bodne

PK.

Priyanka K .Ghodmare

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Abstract

The integration of Light Detection and Ranging (LIDAR) technology in micro drones has significantly enhanced their autonomy, obstacle detection, and navigation capabilities. LIDAR-based proximity sensing allows micro drones to operate efficiently in dynamic and constrained environments by providing accurate real-time distance measurements and object detection. Unlike traditional vision-based sensors, LIDAR offers superior performance in low-light and cluttered conditions, making it ideal for indoor and outdoor applications. This paper explores the fundamental principles of LIDAR-based micro drones, their advantages over conventional navigation systems, and their applications in fields such as surveillance, search and rescue, industrial inspection, and environmental mapping. The advancements in miniaturization and sensor efficiency have enabled micro drones to achieve precise maneuverability, making them a vital tool in modern autonomous aerial systems. The study further highlights the challenges and future developments in LIDAR-equipped micro drones, paving the way for improved safety and operational intelligence in aerial robotics.

KEYWORDS

LIDAR Micro Drone Proximity Sensing Obstacle Avoidance Autonomous Navigation Distance Measurement

Cite This Article

Dr. Nilesh Bodne, Priyanka K .Ghodmare, "Advanced Micro Drone with LIDAR-Enabled Obstacle Detection and Proximity Sensing," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

11/2/2025

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