MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641009236 A) filed by National Institute Technology, Warangal, Telangana, on Jan. 29, for 'system and method for efficient multi-drone path planning and human detection.'
Inventor(s) include Dr Mettu Srinivas; Prof. P Radha Krishna; and Prof. RBV Subramanyam.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "A system and method for autonomous detection, path planning, and coordinated control of multiple unmanned aerial vehicles (UAVs) has been proposed in the present invention for crisis management, search-and-rescue, and surveillance operations as shown in figure-1. Each UAV is equipped with multiple sensors, including RGB, thermal, infrared, and LiDAR, to capture aerial data, which is fused to generate confidence scores for detected objects. Captured data is transmitted to a processing unit where humans and objects of interest are identified in real time using a deep convolutional neural network. UAV trajectories are computed using a hybrid swarm-based approach integrating principles of particle swarm and grey wolf coordination, enabling decentralized, adaptive, and collision-free movement. The system dynamically assigns UAVs to high-priority regions based on detection probabilities, energy constraints, and flight distance, while maintaining swarm diversity and prioritizing recently detected targets. The invention enhances real-time detection, coverage efficiency, energy optimization, and adaptability in dynamic and unpredictable environments."
Disclaimer: Curated by HT Syndication.
