5 papers
DroneGround: Open-Vocabulary Drone Payload Characterization Using Synthetic Data and Grounded Vision-Language Models
Ami Pandat, Rajasekhar Punna, Gopika Vinod +1
Automated drone surveillance has become increasingly important for public safety, critical infrastructure protection,and restricted airspace monitoring. While existing vision-based…
SimD3: A Synthetic drone Dataset with Payload and Bird Distractor Modeling for Robust Detection
Ami Pandat, Kanyala Muvva, Punna Rajasekhar +2
Reliable drone detection is challenging due to limited annotated real-world data, large appearance variability, and the presence of visually similar distractors such as birds. To a…
Long-Range depth estimation using learning based Hybrid Distortion Model for CCTV cameras
Ami Pandat, Punna Rajasekhar, G. Aravamuthan +2
Accurate camera models are essential for photogrammetry applications such as 3D mapping and object localization, particularly for long distances. Various stereo-camera based 3D loc…
YolovN-CBi: A Lightweight and Efficient Architecture for Real-Time Detection of Small UAVs
Ami Pandat, Punna Rajasekhar, Gopika Vinod +1
Unmanned Aerial Vehicles, commonly known as, drones pose increasing risks in civilian and defense settings, demanding accurate and real-time drone detection systems. However, detec…
Load Balanced Semantic Aware Distributed RDF Graph
Ami Pandat, Nidhi Gupta, Minal Bhise
The modern day semantic applications store data as Resource Description Framework (RDF) data.Due to Proliferation of RDF Data, the efficient management of huge RDF data has become…