activity
20122023
most citedA comparative study of clusterhead selection algorithms in wireless sensor networks

112 citations · 150 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 27 cited

Project Aria: A New Tool for Egocentric Multi-Modal AI Research

Jakob Engel, Kiran Somasundaram, Michael Goesele +71

Egocentric, multi-modal data as available on future augmented reality (AR) devices provides unique challenges and opportunities for machine perception. These future devices will ne…

cs.CV2021★ 7 cited

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene Byrne +82

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…

cs.RO2017★ 2 cited

An End-to-End System for Crowdsourced 3d Maps for Autonomous Vehicles: The Mapping Component

Onkar Dabeer, Radhika Gowaikar, Slawomir K. Grzechnik +5

Autonomous vehicles rely on precise high definition (HD) 3d maps for navigation. This paper presents the mapping component of an end-to-end system for crowdsourcing precise 3d maps…

cs.NI2012★ 112 cited

A comparative study of clusterhead selection algorithms in wireless sensor networks

K. Ramesh, Dr. K. Somasundaram

In Wireless Sensor Network, sensor nodes life time is the most critical parameter. Many researches on these lifetime extension are motivated by LEACH scheme, which by allowing rota…

cs.NI2012★ 2 cited

Improved Fair-Zone technique using Mobility Prediction in WSN

K. Ramesh, Dr. K. Somasundaram

The self-organizational ability of ad-hoc Wireless Sensor Networks (WSNs) has led them to be the most popular choice in ubiquitous computing. Clustering sensor nodes organizing the…