The project focuses on UAV power management, including studying UAV drive profiles to evaluate voltage and power needs, designing a lightweight DC/DC boost converter for fuel cell interfacing, implementing a computationally efficient adaptive control
The project demonstrates UAV tracking and activity detection using low-cost ESP32 CSI data. It leverages OFDM subcarrier behavior to train ensemble machine learning models, explores CSI-based Wi-Fi geofencing for enemy UAV localization, and evaluates
The project involves acquiring images from paddy fields, processing them to extract various vegetation indices, and using machine learning models to estimate crop traits and monitor stages of crop growth, enabling accurate assessment of crop health a
The project aims to develop an autonomous aircraft system capable of estimating wind fields using onboard sensors, generating efficient trajectories for optimal energy extraction, and implementing trajectory tracking. The system will be demonstrated
The project focuses on UAV-based structural monitoring, including developing path planning and optimal data acquisition strategies, enhancing image processing for damage detection, integrating DIC cameras to capture full-field bridge displacements, a
The project aims to optimize HD map data management for autonomous vehicles by determining placement policies based on update intervals and network traffic, enabling vehicles to select optimal RSUs for downloads, proposing automated non-uniform tile
The project develops a method for AGVs to estimate a subject’s 3D walking direction using monocular cameras, predict occlusions with static or dynamic objects, navigate to maintain optimal field of view, and coordinate multiple AGVs to ensure seaml
The project focuses on determining aircraft parameters relative to the runway, including attitude, direction, wind velocity vector, and position vector, for precise navigation and control.
The project focuses on UAV-based vision guidance, including R&D for estimating target distance, developing a vision module to determine the vehicle’s ground position, and implementing the hardware-software vision guidance system within a laboratory
The project aims to transfer standard RGB image acquisition protocols to MSMEs, develop an automated data processing pipeline for predicting crop agronomic traits, integrate it into a software/cloud platform for practical use, and explore additional
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