T
T. Bessell
Researcher at Defence Science and Technology Organisation
Publications - 13
Citations - 494
T. Bessell is an academic researcher from Defence Science and Technology Organisation. The author has contributed to research in topics: Wireless sensor network & Situation awareness. The author has an hindex of 7, co-authored 12 publications receiving 439 citations.
Papers
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Wireless Sensor Networks for Battlefield Surveillance
TL;DR: This project aims to design a system, which can detect and classify multiple targets, using inexpensive off-the-shelf wireless sensor devices, capable of sensing acoustic and magnetic signals generated by different target objects, and proposes a Hybrid Sensor Network architecture (HSN), tailored specifically to meet these challenges.
Journal ArticleDOI
Detection and Tracking Using Particle-Filter-Based Wireless Sensor Networks
TL;DR: This paper evaluates the effect of various design parameters and calibration parameters on the tracking accuracy and computation time of the particle-filter-based tracking system and proposes a novel technique for calibrating off-the-shelf sensor devices.
Event-based Sensing for Space Situational Awareness
TL;DR: The field testing and validation of two different architectures of event-based imaging sensors, inspired by a biological retina, make them ideally suitable to meeting the demanding challenges required by space-based SSA systems.
Journal ArticleDOI
Event-based Sensing for Space Situational Awareness
Gregory Cohen,Saeed Afshar,Brittany Morreale,T. Bessell,Andrew Wabnitz,Mark Rutten,André van Schaik +6 more
TL;DR: In this paper, the applicability and capabilities of event-based sensors for ground and space-based SSA applications are demonstrated through telescope field trials, and the field testing and validation of two different architectures of eventbased imaging sensors are shown.
Proceedings ArticleDOI
Detection and tracking using wireless sensor networks
Nadeem Ahmed,Yifei Dong,Tatiana Bokareva,Salil S. Kanhere,Sanjay Jha,T. Bessell,Mark Rutten,Branko Ristic,Neil Gordon +8 more
TL;DR: This work investigates the use of inexpensive off-the-shelf WSN devices for ground surveillance by estimates and tracks a target based on the spatial differences of the target object's signal strength detected by the monitoring sensors at different locations.