Publications de Ali Marjovi | EPFL Graph Search

Particle Source Localization with a Low-Cost Robotic Sensor System: Algorithmic Design and Performance Evaluation

Alcherio Martinoli, Ali Marjovi, Xinxing Chen, Jian Huang

In this paper we tackle the problem of finding the source of particulate matter with a mobile robot equipped with a low-cost multi-channel optical particle counting sensor. The proposed method is based on the Infotaxis odor source localization algorithm an ...

2020

An Algorithm for Odor Source Localization based on Source Term Estimation

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar

Finding sources of airborne chemicals with mobile sensing systems finds applications across the security, safety, domestic, medical, and environmental domains. In this paper, we present an algorithm based on source term estimation for odor source localizat ...

IEEE2019

Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar

Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, security, environmental monitoring, and medical domains. In this paper, we present an algorithm based on Source Term Estimation for odor source localization ...

2019

Design and Performance Evaluation of an Infotaxis-Based Three-Dimensional Algorithm for Odor Source Localization

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar, Julian Ruddick

In this paper we tackle the problem of finding the source of a gaseous leak with a robot in a three-dimensional (3-D) physical space. The proposed method extends the operational range of the probabilistic Infotaxis algorithm [1] into 3-D and makes multiple ...

IEEE2018

A 3-D Bio-inspired Odor Source Localization and its Validation in Realistic Environmental Conditions

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar, Pierre Charles Marie Kibleur

Finding the source of gaseous compounds released in the air with robots finds several applications in various critical situations, such as search and rescue. While the distribution of gas in the air is inherently a 3D phenomenon, most of the previous works ...

2017

Adaptive Lévy Taxis for Odor Source Localization in Realistic Environmental Conditions

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar, Romain Jean-Paul Emery

Odor source localization with mobile robots has recently been subject to many research works, but remains a challenging task mainly due to the large number of environmental parameters that make it hard to describe gas concentration fields. We designed a ne ...

2017

Extending Urban Air Quality Maps Beyond the Coverage of a Mobile Sensor Network: Data Sources, Methods, and Performance Evaluation

Alcherio Martinoli, Ali Marjovi, Adrian Arfire

Targeting the problem of generating high-resolution air quality maps for cities, we leverage four different sources of data: (i) in-situ air quality measurements produced by our mobile sensor network deployed on public transportation vehicles, (ii) explana ...

2017

Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks

Alcherio Martinoli, Ali Marjovi, Adrian Arfire

The last decade has seen a growing interest in air quality monitoring using networks of wireless low-cost sensor platforms. One of the unifying characteristics of chemical sensors typically used in real-world deployments is their slow response time. While ...

2016

Towards 3-D Distributed Odor Source Localization: An Extended Graph-Based Formation Control Algorithm for Plume Tracking

Alcherio Martinoli, Ali Marjovi, Jorge Miguel Dias Almeida Rodrigues Soares, Jonathan Giezendanner, Anil Augustin Kodiyan, António Pedro Rodrigues de Aguiar

The large number of potential applications for robotic odor source localization has motivated the development of a variety of plume tracking algorithms, the majority of which work in restricted two-dimensional scenarios. In this paper, we introduce a distr ...

IEEE2016

Enhancing Measurement Quality through Active Sampling in Mobile Air Quality Monitoring Sensor Networks

Alcherio Martinoli, Ali Marjovi, Adrian Arfire

In recent years, a growing number of research groups have targeted the development and deployment of networks using low-cost chemical sensors for monitoring air quality. Due to economical reasoning, most of these systems make use of some sort of mobility t ...

IEEE2016