Ben J Wolf

Ben J Wolf
Delft University of Technology | TU · Delft Center for Systems and Control (DCSC)

PhD

About

12
Publications
1,283
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104
Citations
Introduction
Currently working on the H2020 seaclear project, which aims to classify and collect litter on the seafloor using sonar and machine vision, implemented on a multi-agent system of autonomous vehicles. My PhD research into novel sensing methods and machine learning for sensor arrays (Artificial Lateral Line Imaging and Sensing) contributed to the H2020 Lakhsmi project.

Publications

Publications (12)
Article
Full-text available
Artificial lateral lines are fluid flow sensor arrays, bio-inspired by the fish lateral line organ, that measure a local hydrodynamic environment. These arrays are used to detect objects in water, without relying on light, sound, or on an active beacon. This passive sensing method, called hydrodynamic imaging, is complementary to sonar and vision s...
Article
Full-text available
This research focuses on the signal processing required for a sensory system that can simultaneously localize multiple moving underwater objects in a three-dimensional (3D) volume by simulating the hydrodynamic flow caused by these objects. We propose a method for localization in a simulated setting based on an established hydrodynamic theory found...
Article
Deep learning has enabled the rapid expansion of computer vision tasks from image frames to video segments. This paper focuses on the review of the latest research in the field of computer vision tasks in general and on object localization and identification of their associated pixels in video frames in particular. After performing a systematic ana...
Article
Full-text available
The lateral line organ of fish has inspired engineers to develop flow sensor arrays—dubbed artificial lateral lines (ALLs)—capable of detecting near-field hydrodynamic events for obstacle avoidance and object detection. In this paper, we present a comprehensive review and comparison of ten localisation algorithms for ALLs. Differences in the studie...
Chapter
Synopsis Biophysical properties of lateral line flow sensors are reviewed with a specific focus on a quantitative description of their detection capabilities. Two submodalities, canal neuromasts (CN) and superficial neuromasts (SN), are distinguished, which differ in their morphological characteristics and interaction with the external fluid flow t...
Article
Full-text available
The lateral line is a mechanosensory organ found in fish and amphibians that allows them to sense and act on their near-field hydrodynamic environment. We present a 2D-sensitive Artificial lateral line (ALL) comprising eight all-optical flow sensors, which we use to measure hydrodynamic velocity profiles along the sensor array in response to a movi...
Conference Paper
Fish and amphibians can sense their hydrodynamic environment via fluid flow sensing organs, called lateral lines. Using this lateral line they are able to detect disturbances in the hydrodynamic near field which enables hydrodynamic imaging, i.e. obstacle detection. Via two experiments we demonstrate a novel artificial lateral line of four bio-insp...
Conference Paper
Full-text available
An array of fluid flow sensors can be used to detect and track underwater objects via the fluid flow field these objects create. The sensed flows combine to a spatio-temporal velocity profile, which can be used to solve the inverse problem; determining the relative position and orientation of a moving source via a trained model. In this study, two...
Poster
Full-text available
Artificial lateral lines (ALL) are used to detect the movement and locations of sources underwater, and are based on the lateral line organ found in fish and amphibians. Experiments have been performed to evaluate if the localization performance of neural networks, trained on simulated ALL sensor data, can be improved through adjustments of the int...
Article
Full-text available
We present the design, fabrication and testing of a novel all-optical 2D flow velocity sensor, inspired by a fish lateral line neuromast. This artificial neuromast consists of optical fibres inscribed with Bragg gratings supporting a fluid force recipient sphere. Its dynamic response is modelled based on the Stokes solution for unsteady flow around...
Article
Full-text available
Fish are able to sense water flow velocities relative to their body with their mechanoreceptive lateral line organ. This organ consists of an array of flow detectors distributed along the fish body. Using the excitation of these individual detectors, fish can determine the location of nearby moving objects. Inspired by this sensory modality, it is...

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Projects

Project (1)
Project
we aim to model, build and test artificial neuromasts using novel strain sensing techniques that can perceive local fluid velocity and use these to build a large scale artificial lateral line. New lateral line based algorithms and methods will be developed for artificial lateral line perception.