The project focuses on designing, developing, and implementing a Micro C-V2X On-Board Unit (M-OBU) with an ETSI-ITS protocol stack, creating V2V and V2I application use cases, and conducting field testing and demonstrations at the TiHAN-IITH test tra
The project aims to optimize sensor fusion algorithms for waterborne applications, improving system performance. It focuses on developing and demonstrating a field-proven perception sensor system and a Portable Autonomous Surface Vessel, while promot
The project aims to reduce pavement deformation from autonomous vehicle platoons by imposing inter-vehicular wheel wandering constraints. It involves numerical modeling and lab validation of rutting and cracking, characterizing load and stress distri
The project develops an IoT-enabled paddy transplanter to enhance crop yield, health, and farmer income while promoting sustainable agriculture. Objectives include reducing manual labor, ensuring precise and uniform transplanting, optimizing resource
The project emphasizes the need for autonomous cargo vehicles in India across agriculture, forestry, waste management, and disaster response. These vehicles aim to automate transportation of crops, fertilizers, and equipment, reduce dependence on man
The project focuses on creating a Smart Agriculture system for early detection of diseases in rice and soybean crops in Chhattisgarh. It integrates lightweight deep-learning models, optimized for fog computing, UAV-based soil mapping, and efficient d
The project develops a lightweight, affordable autonomous underwater vehicle (AUV/ROV) for marine applications, focusing on high hydrodynamic efficiency through biomimetic propulsion inspired by fish. The ROV aims to maneuver effectively in dynamic u
The project presents a servo-based two-foil flapping propulsion system for an underwater drone. Designed in CATIA, the drone includes a servo mechanism, flapping foils, electronics, sensors, and a body cover. Laboratory tests were successful, and aft
This project develops an AI-powered drone system using federated learning to detect Mahua leaf diseases, weeds, and pests early. It supports precise, eco-friendly interventions, reduces labor and chemical use, improves yields, and empowers tribal com
Cooperative communication models help drone swarms work efficiently and autonomously. Each drone shares information with others to stay coordinated, make joint decisions, and complete tasks together. These models are especially useful in disaster man
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