LitReview: Communication in a behaviour-based approach to target detection and tracking with Autonomous Underwater Vehicles

Andrew Bolster

Senior R&D Manager (Data Science) at Synopsys Software Integrity Group and Treasurer @ Bsides Belfast and NI OpenGovernment Network


Sorbi, Toni, Dio De Capua, Rossi

TERA, Genova



What is this work about?

Collaborative target tracking behaviours

What are the main findings of this work?

No surprise; two AUVs with a comms link are better at tracking, and that tracking is easier when the targets are stupid/random.

What gap in our understanding does this work fill?

Highlights MLO tracking operations, and provides insight into globally aware control systems

What research tradition/approach/method is used?

Stocastic analysis, utilising Artificial Potential Fields (for Motor Schema control) to factor in multiple behaviours (i.e. target tracking + obstacle avoidance.

Uses simple map maximisation to collaborate between nodes

How is this work connected to the wider research


Stojanovic (2008), Akyildiz/Pompolo (2006) regarding comms environment; Zorzi regarding routing considerations; Freitag (2005), and Deng (2008) regarding collabirative path planning for AUVs

How is this work relevant to your assignment?

More than I was expecting, as it presents the compromise between control and comms planes. Will be used as the basis of my simulation generation.

What are the limitations of this work?

Does not at all factor in trust into the collaborative generation of the global map, or have any kind of temporal backoff from the results of the global map.

Assumes a maximum energy use comms model that is unrealistic and wasteful.

Useful snippit?

It’s all good.

blog comments powered by Disqus