Authors: Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Sharma, Vishwajeet Pattanaik, Punit Rathore, Raghu Krishnapuram, Vijay Gopal Kovvali, Anirban Chakraborty, Yogesh Simmhan Know more Robust vehicle detection from fixed CCTV cameras is critical for Intelligent Transportation Systems. Yet existing benchmarks predominantly feature relatively homogeneous, highly organized traffic patterns captured from ego-centric driving perspectives […]

Authors: Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan Know more Real-time city-scale traffic analytics requires processing 100s-1000s of CCTV streams under strict latency, bandwidth, and compute limits. We present a scalable AI-driven Intelligent Transportation […]

Authors: Dharini Raghavan, Raghu Krishnapuram, Bharadwaj S Amrutur Know more We propose a scalable perception framework leveraging monocular security cameras in the infrastructure for localizing and tracking indoor autonomous mobile robots. We present a zero-shot pose estimation approach that combines semantic and visual descriptors to identify reliable, repeatable and robust keypoints along with a quantification […]

Authors: Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Kishore, Vishwajeet Pattanaik, Tarun Rambha, Abdul R. Pinjari, Vijay Kovvali, Anirban Chakraborty, Punit Rathore, Raghu Krishnapuram, Yogesh Simmhan Know more This report describes the UVH-26 dataset, the first public release by AIM@IISc of a large-scale dataset of annotated traffic-camera images from India. The dataset comprises […]

Authors: Linda Theres B, Jyotirmoy Dutta, Rakshit Ramesh Know more Water quality monitoring is crucial for ensuring public health and sustainable resource management. Traditional methods often lack integrated tools for analysis, visualization, and reporting, leading to fragmented insights. To address this gap, an interactive dashboard has been developed to streamline water quality data assessment and […]

Authors: Naman Srivastava, Joel D Joy,Yash Dixit, Swarup E, Rakshit Ramesh Know more Land Use Land Cover (LULC) mapping is essential for urban and resource planning, and is one of the key elements in developing smart and sustainable this http URL study evaluates advanced LULC mapping techniques, focusing on Look-Up Table (LUT)-based Atmospheric Correction applied to Cartosat […]

Authors: Jaheer khan, Swarup E, Rakshit Ramesh Know more This evaluate the performance of geospatial image processing using two distinct data storage formats: Zarr and TIFF. Geospatial images, converted to numerous applications like environmental monitoring, urban planning, and disaster management. Traditional Tagged Image File Format is mostly used because it is simple and compatible but […]

Authors: Jaheer khan, Swarup E, Rakshit Ramesh Know more This evaluates the performance of geospatial image processing using two distinct data storage formats: Zarr and TIFF. Geospatial images, converted to numerous applications like environmental monitoring, urban planning, and disaster management. Traditional Tagged Image File Format is mostly used because it is simple and compatible but […]

Authors: Yash Dixit, Naman Srivastava, Joel D Joy, Rohan Olikara, Swarup E, Rakshit Ramesh Know more Land Use Land Cover (LULC) mapping is a vital tool for urban and resource planning, playing a key role in the development of innovative and sustainable cities. This study introduces a semi-supervised segmentation model for LULC prediction using high-resolution […]

Authors: Soham Mukherjeea, Yash Dixit, Naman Srivastava, Joel D Joy, Koesha Sinha, Rohan Olikara, Swarup E, Rakshit Ramesh Know more The integration of fine-scale multispectral imagery with deep learning models has revolutionized land use and land cover (LULC) classification. However, the atmospheric effects present in Top-of-Atmosphere sensor measured Digital Number values must be corrected to […]

Authors: Shivika Sharma, Nandini Mawane, Chetan Kumar Kuraganti, Dhruthick Gowda M, Mayur Taware, Yash Chandrashekhar Dixit, Sahil Mishra, Raghu Krishnapuram and Rakshit Ramesh Know more Accurate Estimated Time of Arrival (ETA) predictions play a critical role in improving the operational efficiency, traffic management, and reliability of services in transit systems. This work presents a comprehensive […]

Authors: Chetan Kumar Kuraganti, Arun Josephraj, Saanidhya Vats, Amarthya KR, Koesha Sinha, Raghu Krishnapuram and Rakshit Ramesh Know more This paper presents two techniques for optimizing solid waste management (SWM) systems of a city. The first technique involves planning routes for garbage collection vehicles which utilizes the Capacitated Vehicle Routing Problem (CVRP) and Google-OR-Tools to […]