Phillip S. M. Skelton

Orcid: 0000-0001-6192-8193

According to our database1, Phillip S. M. Skelton authored at least 7 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2022
VTUAD: Vessel Type Underwater Acoustic Data.
Dataset, November, 2022

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance.
Sensors, 2022

Contrast independent biologically inspired translational optic flow estimation.
Biol. Cybern., 2022

An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data.
IEEE Access, 2022

2020
Improving an Optical Flow Estimator Inspired by Insect Biology using Adaptive Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Consistent estimation of rotational optical flow in real environments using a biologically-inspired vision algorithm on embedded hardware.
Image Vis. Comput., 2019

2017
Real-Time Visual Rotational Velocity Estimation Using a Biologically-Inspired Algorithm on Embedded Hardware.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017


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