activity
20232026
most citedEstimating time of arrival of vehicle fleets with GCN based traffic prediction

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2026

Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks

Akash Sharma, Pranjal Naman, Roopkatha Banerjee +11

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 Intellige…

cs.CV2025

Comparison of Segmentation Methods in Remote Sensing for Land Use Land Cover

Naman Srivastava, Joel D Joy, Yash Dixit +2

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 cities.This study evaluates adva…

cs.CV2024

Performance Evaluation of Geospatial Images based on Zarr and Tiff

Jaheer Khan, Swarup E, Rakshit Ramesh

This evaluate the performance of geospatial image processing using two distinct data storage formats: Zarr and TIFF. Geospatial images, converted to numerous applications like envi…

cs.CV2024

An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery

Soham Mukherjee, Yash Dixit, Naman Srivastava +5

The integration of fine-scale multispectral imagery with deep learning models has revolutionized land use and land cover (LULC) classification. However, the atmospheric effects pre…

cs.CV2024

Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images

Yash Dixit, Naman Srivastava, Joel D Joy +3

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 introduce…

eess.SY2023★ 1 cited

Estimating time of arrival of vehicle fleets with GCN based traffic prediction

Shivika Sharma, Nandini Mawane, Dhruthick Gowda M +4

This paper presents an effective framework for estimating time of arrival of vehicles (buses) in an Intelligent Transit Management System (ITMS) having sparse position updates. Our…