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20232026
most citedCrowd Size Estimation for Non-Uniform Spatial Distributions with mmWave Radar

1 citations · 2 across the 5 of their papers we have counts for

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5 papers

eess.SP2026

Untangling Dense Crowds with mmWave Radar: From Crowd Semantics to Individual Spatial Behaviors

Aaditya Prakash Kattekola, Anurag Pallaprolu, Yasamin Mostofi

In this paper, we present a novel framework for recovering individual footprints and pedestrian spatial behaviors in dense crowds. This is a highly challenging problem, as pedestri…

eess.SP2025

mmSnap: Bayesian One-Shot Fusion in a Self-Calibrated mmWave Radar Network

Anirban Banik, Lalitha Giridhar, Aaditya Prakash Kattekola +4

We present mmSnap, a collaborative RF sensing framework using multiple radar nodes, and demonstrate its feasibility and efficacy using commercially available mmWave MIMO radars. Co…

eess.SP2024★ 1 cited

Crowd Size Estimation for Non-Uniform Spatial Distributions with mmWave Radar

Anurag Pallaprolu, Aaditya Prakash Kattekola, Winston Hurst +3

In this paper, we present a novel methodology for crowd size estimation using monostatic mmWave radar. Our aim is to accurately count large crowds that follow a non-uniform spatial…

physics.soc-ph2023

A Traffic Control Framework for Uncrewed Aircraft Systems

Ananay Vikram Gupta, Aaditya Prakash Kattekola, Ansh Vikram Gupta +3

The exponential growth of Advanced Air Mobility (AAM) services demands assurances of safety in the airspace. This research a Traffic Control Framework (TCF) for developing digital…

cs.IT2023★ 1 cited

Performance Analysis of RIS-Aided NOMA Networks in & Generalized Fading Channel

Aaditya Prakash Kattekola, Sanjana Dontha, Anuradha Sundru

For forthcoming 5G networks, Non-Orthogonal Multiple Access (NOMA) is a very promising techniques. and in today's world, Line of Sight communication is becoming increasingly harder…