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Towards Drone-sourced Live Video Analytics for the Construction Industry

This paper investigates the use of drones for live inspection in the  construction industry. The key technical challenge is the real-time  registration of the drone video feed to the architectural plan. We  present and evaluate three different approaches for registration and  propose an edge-based prototype using visual features. Our evaluations

Towards a Distraction-free Waze

Real-time traffic monitoring has had widespread success via  crowd-sourced GPS data. While drivers benefit from this low-level,  low-latency road information, any high-level traffic data such as road  closures and accidents currently have very high latency as such systems  rely solely on human reporting. Increasing the detail and decreasing the  latency

EdgeDroid: An Experimental Approach to Benchmarking Human-in-the-Loop Applications

Many emerging mobile applications, including augmented reality (AR) and  wearable cognitive assistance (WCA), aim to provide seamless user  interaction. However, the complexity of benchmarking these  human-in-the-loop applications limits reproducibility and makes  performance evaluation difficult. In this paper, we present EdgeDroid, a  benchmarking suite designed to reproducibly evaluate these  applications. Our

The Computing Landscape of the 21st Century

This paper shows how today's complex computing landscape can be  understood in simple terms through a 4-tier model. Each tier represents a  distinct and stable set of design constraints that dominate attention  at that tier. There are typically many alternative implementations of  hardware and software at each tier, but all

How we created edge computing

Edge computing processes data on infrastructure that is located close to the point of data creation. Mahadev Satyanarayanan recounts how recognition of the potential limitations of centralized, cloud-based processing led to this new approach to computing.Satyanarayanan, M.Nature Electronics, 2(1), January 2019

15-821 Fall 2018

6 course projects (many based on cloudlets and Gabriel)The Fall 2018 offering of 15-821/18-843 "Mobile and Pervasive Computing" course included several 2- and 3-person student projects based on cloudlets and wearable cognitive assistance. Examples include efficient searching of data stored on cloudlets, leveraging cloudlets for DNN gesture or

Bandwidth-efficient Live Video Analytics for Drones via Edge Computing

Real-time video analytics on small autonomous drones poses several  difficult challenges at the intersection of wireless bandwidth,  processing capacity, energy consumption, result accuracy, and timeliness  of results. In response to these challenges, we describe four  strategies to build an adaptive computer vision pipeline for search  tasks in domains such as