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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45553
Volume:
9 |
4 |
Apr 2025
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
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.
Dept. of ECE
Rajeev Institute of Technology, Hassan, Karnataka
Dept. of ECE
Rajeev Institute of Technology, Hassan, Karnataka
Dept. of ECE
Rajeev Institute of Technology, Hassan, Karnataka
Dept. of ECE
Rajeev Institute of Technology, Hassan, Karnataka
Dept. of ECE
Rajeev Institute of Technology, Hassan, Karnataka
The rapid advancement of unmanned aerial vehicles (UAVs) has opened up new possibilities for compact and efficient drones capable of autonomous navigation in complex environments. This paper presents the design and development of a microdrone equipped with a proximity alert system using LiDAR technology. The primary objective is to enhance obstacle detection and collision avoidance capabilities in real-time, enabling safer and smarter drone operation, especially in constrained or cluttered environments.The microdrone is built using a lightweight frame, drone motors, and a flight controller integrated with a NodeMCU microcontroller for control and communication. A LiDAR sensor is employed to continuously measure distances from surrounding objects with high accuracy. The proximity alert system is triggered when obstacles are detected within a predefined range, activating a buzzer and enabling the drone to take evasive action or hover to avoid collision. This system demonstrates the effective use of LiDAR for short-range obstacle detection and its potential in enhancing drone autonomy. Applications include indoor navigation, search and rescue missions, inspection tasks, and delivery in urban environments where precision and safety are critical.
KEYWORDS
The development of the Microdrone with Proximity Alert using LiDAR demonstrates the practical integration of compact unmanned aerial systems with advanced sensing technologies for obstacle detection and navigation. By employing a LiDAR sensor, the microdrone effectively detects nearby objects and generates timely alerts using a buzzer, thereby enhancing flight safety in constrained or obstacle-rich environments. This paper validates the potential of LiDAR in real-time proximity sensing, offering high accuracy and responsiveness compared to traditional sensors like ultrasonic or IR. The use of NodeMCU for processing and control adds flexibility and scalability for further applications such as autonomous navigation, indoor and mapping, or swarm-based coordination. Overall, the paper successfully showcases a low-cost, efficient solution for collision avoidance, making it a valuable contribution toward safer and smarter microdrone operations.
1. L. Wang, J. Li, and X. Zhao, "LiDAR-based Obstacle Detection for UAV Navigation", in IEEE International Conference on Robotics and Automation (ICRA), 2019. 2. S. Suresh, M. Karthik, and A. Rao, "Design and Implementation of Obstacle Avoidance in Drones using LiDAR Sensor", in International Journal of Engineering Research & Technology (IJERT), vol. 9, no. 5, pp. 450–455, May 2020. 3. Garmin Ltd., "LIDAR-Lite v3 Operation Manual and Technical Specifications", 2018. [Online]. 4. NodeMCU, "ESP8266 Datasheet and Technical Reference", 2017. [Online]. Available: https://components101.com 5. ArduPilot Dev Team, "Pixhawk Flight Controller Overview and Setup", ArduPilot Documentation, 2020. [Online]. 6. DroneBot Workshop, "Using LiDAR with Arduino and NodeMCU for Obstacle Detection", 2021. [Online].
Publication Date
4/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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