The project evaluates lane detection accuracy on Indian roads using open-source computer vision frameworks and GPS-based GNSS-INS positioning. It develops a hybrid system combining both approaches for improved lane-level positioning and compares its
The project focuses on designing an acoustic communication-based underwater ROV for hull surveillance. It includes studying underwater surveillance technologies, defining design specifications, developing a free-swimming, maneuverable prototype, and
Development of a framework called Realtime Dynamic-Risk Envelope (ReD-RE) to enhance road safety through predictive crash risk assessment in real-time.
The project develops an intelligent robotic arm system, implementing deep learning on a microcontroller for adaptive control, an intelligent grasping mechanism for varying tree trunk sizes, and low-cost microcontroller-based obstacle detection, path
The project aims to develop a fully actuated multi-rotor UAV for soil mapping through sensor-based data collection. It involves designing, fabricating, and controlling an omni-directional UAV for agricultural tasks, along with a soil sampling and sen
The project develops a fully autonomous drive-by-wire electric vehicle for urban environments, analyzing stability and handling at high speeds. It includes robust motion planning with ethics-based decision-making for pedestrian and vehicle safety, an
The project develops a hybrid underwater-terrestrial edge computing network (UT-ECN) assisted by autonomous WSVs, enabling underwater users to offload computational tasks via uplink NOMA. It analyzes ergodic sum rate and outage probability, optimizes
The project aims to design and develop an off-road autonomous vehicle, implement fast computation techniques using camera and LiDAR to identify traversable regions, and create an off-road navigation framework enabling the vehicle to move from source
The objective of this research is to explore and integrate immersive real-time monitoring and interaction-based navigation technologies with drones. The project focuses on developing an interfacing system for bidirectional communication between an AR
The project enhances traffic signal controllers to be autonomous-vehicle ready using a C-V2X hardware adapter. It includes developing an application to transmit SPaT messages, integrating the adapter with CDAC traffic controllers, supporting industri
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