1. Design a fast, scalable, and secure PUF-based UAV device authentication protocol that works under the restrictions imposed by the resource-constrained programmable data planes and UAVs (i.e., drones). 2. Implementation: Implement a working prototy
1. To evaluate the effectiveness of ADAS in real-world traffic conditions using FOT. 2. To assess the acceptance of advanced driver assistance systems for drivers of different age group, gender and occupation characteristics. 3. To design regulatory
This project aims to develop a unified learning framework for advanced driver assistance systems, enabling safe and comfortable driving. It integrates deep neural networks for multi-object detection, classification, tracking, trajectory prediction, p
1. The target of A1 is to design a framework that exploits heterogeneous access technologies, such as terrestrial mobile networks (e.g., 5GNR), and Non terrestrial Network (NTN) (i.e., satellite) 2. The target of A2 is to implement the designed frame
TIHAN from its inception in 2020 has put in considerable effort and focus in developing and nurturing technological inventions facilitating ‘Autonomous Navigation’ across different mediums of transportation. These efforts have significantly contr
In this project, the UAV will acts as a secondary user (SU) for making relaible activites of the primary user in cognitive radio network (CRN). In purticular, we optimize the sensing paramerts such as sensing radian, height of the UAV and threshold o
The key product of this research is a software tool which outputs the results evaluating the feasibility of automated vehicles (number of robots, routing, packing, the total distance travelled, costs, etc.) in each situation of LMD along with estimat
1. To develop an efficient method that improves the accuracy of the macroscopic traffic parameter acquired for the ITS applications specific to a video-based applications. 2. To deliver a solution based on interoperability across heterogenous technic
Autonomous vehicles mostly employ multi-sensor information for environment perception, and real-time and accurate perception of traffic objects is critical during adverse weather conditions. Hence the problem statement is to develop a multi modal per
Autonomous navigation systems need low-latency precision and cost-efficient compute. Our solution offloads vision-based tasks to edge cloud, enhancing affordability and power efficiency. Technology development: 1. Agribot for farming tasks (e.g., tom
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