GSL-Bench: High Fidelity Gas Source Localization Benchmarking

Gas Source Localization (GSL) is a challenging field of research within the robotics community. Existing methods vary widely and each has its own strengths and weaknesses. Existing GSL evaluations vary in environment size, wind conditions, and gas simulation fidelity, thereby complicating objective comparison between algorithms. They also lack...

Identification of internal damages in reinforced concrete slabs using probability density field of acoustic emission events

To assess the structural capacity of reinforced concrete structures, identifying the internal cracks is important. Acoustic emission (AE) is promising to estimate the location of internal cracks. However, the localization is influenced by many factors like arrival time picking error, presence of crack, etc., resulting in localization error. The...

Acoustic Emission based Crack Tracking for Concrete Structures

Acoustic Emission (AE) monitoring is one of the possibilities to detect the crack distribution inexisting concrete structures. However, the conventional method requires further destruction likeopening of new cracks or propagation of the existing cracks. In this paper, a new strategy ofusing local cumulative AE activities during unloading to...

Acoustic target tracking through a cluster of mobile agents

This paper discusses the problem of tracking a moving target by means of a cluster of mobile agents that is able to sense the acoustic emissions of the target, with the aim of improving the target localization and tracking performance with respect to conventional fixed-array acoustic localization. We handle the acoustic part of the problem by...

Room Geometry Estimation from Acoustic Echoes

Estimating a room geometry using multiple microphones rises an echoes labeling problem. Two recent methods called the graph-based and the subspace-greedy methods have shown their capability in solving this problem. The graph-based method attains a good accuracy but suffers in maintaining the computational cost when the number of microphones is...

Joint Detection and Localization of an Unknown Number of Sources Using the Algebraic Structure of the Noise Subspace

Source localization and spectral estimation are among the most fundamental problems in statistical and array signal processing. Methods that rely on the orthogonality of the signal and noise subspaces, such as Pisarenko's method, MUSIC, and root-MUSIC, are some of the most widely used algorithms to solve these problems. As a common feature,...

Neural Dynamics based on EEG and diffusion MRI: Potential in studying stroke

After stroke, functional recovery may be promoted during the first six months through rehabilitation. Several events are thought to lead to regaining lost functions, among which the remapping of affected limbs to other regions of the cortex is a frequent occurrence. High spatial resolution brain imaging techniques, like magnetic resonance...

Identification of Room Boundaries for Sound Field Estimation

Echoes generated by the sound reflected off the walls of a room carry information about the geometry of the enclosure. Capitalization of this acoustic property could lead to improvements in current state-of-the-art methods for sound field estimation, where prior information can be used to improve the conditioning of the problem. In this thesis,...