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Christophe Claramunt

Christophe Claramunt
Naval Academy Research Institute & Art & Métiers Institute of Technology

PhD Univ. de Bourgogne, HDR Univ. Rouen

About

367
Publications
99,816
Reads
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5,137
Citations
Introduction
I am a professor of computer science and resarch chair of the French Naval Academy. I was previously a senior lecturer in computing at the Nottingham Trent University and senior researcher at the Swiss Federal Institute of Technology in Lausanne. I hold a PhD in computer science from the University of Burgundy and an "Habilitation à Diriger des Recherches" from the University of Rouen. More on my research background and publications at christophe.claramunt.free.fr
Additional affiliations
February 2001 - August 2020
Naval Academy Research Institute
Position
  • Professor
Description
  • Research Chair
January 1996 - February 2001
Nottingham Trent University
Position
  • Professor (Associate)
June 1991 - December 1995
École Polytechnique Fédérale de Lausanne
Position
  • Senior Researcher
Description
  • Geographical Information Science
Education
September 1998 - June 2001
Université de Rouen
Field of study
  • Computer Science
September 1995 - September 1998
University of Burgundy
Field of study
  • Computer Science

Publications

Publications (367)
Article
Full-text available
The successful emergence of real-time positioning systems in the maritime domain has favored the development of data infrastructures that provide valuable monitoring and decision-aided systems. However, there is still a need for the development of data mining approaches oriented to the detection of specific patterns such as unusual ship behaviors a...
Article
Tourist destination is a complex system of multiple interacting stakeholders. Although studies have applied network analytics to explore the structure of this system, majority are oriented towards the description of limited destinations, this not providing generalizable insights of the effect of different attraction patterns. This study develops a...
Conference Paper
Full-text available
The interest in exploiting crowd-sourced location information has recently emerged as it can bring many valuable benefits. This is particularly the case where multi-dimensional semantic information represent human trajectories and contextual information arising in indoor and outdoor spaces. Users have different interests when interpreting and analy...
Article
Full-text available
This research investigates the duality of the spatial organization and urban activities generated by the coastalization processes of the city of Nabeul. The first part of the study analyzes the city's fragmentations of the urban landscape using a novel generic index of directional dispersion and a set of space syntax metrics. These structural and f...
Article
Full-text available
While Unmanned Aerial Vehicles (UAVs) can be a valuable solution for the damage inspection of port machinery infrastructures, their trajectories are still prone to collision risks, trajectory non-smoothness, and large deviations. This research introduces a trajectory optimization method for inspecting vulnerable parts of a gantry crane by a UAV fit...
Article
Full-text available
Maritime ports are critical logistics hubs that play an important role when preventing the transmission of COVID-19-imported infections from incoming international-going ships. This study introduces a data-driven method to dynamically model infection risks of international ports from imported COVID-19 cases. The approach is based on global Automati...
Chapter
Cruise ships nowadays can carry more than 5,500 passengers and 2200 crew members for an average time of seven days per trip. The cruising industry makes up a large proportion of the tourism market, and demand is on the rise. Despite the large numbers of people on board, crime reporting on cruise ships is so far relatively low. While the ship itself...
Article
Past and current cadastral records are among the most valuable information that different countries need to solve land management and planning problems. However, many countries still face critical challenges in adopting modern temporal cadastral systems , including a sound integration of time constructs, efficient data integration and representatio...
Conference Paper
Full-text available
Exploiting semantic information related to human mobility is particularly useful in crowd-sourcing environments where multidimensional data represent human trajectories and contextual information arising in indoor and outdoor spaces. This paper introduces a modelling approach and data manipulation mechanisms that represent semantic trajectories at...
Article
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Taxi waiting times is an important criterion for taxi passengers to choose appropriate pick-up locations in urban environments. How to predict the taxi waiting time accurately at a certain time and location is the key solution for the imbalance between the taxis’ supplies and demands. Considering the life schedule of urban residents and the differe...
Article
Full-text available
Real-time mobile crowd-sourcing data often available in indoor and outdoor environments offer many opportunities for the analysis of human trajectories. However, this stresses the need for appropriate and flexible data abstractions at the modelling level to represent the spatial, temporal and semantic data embedded in these trajectories. The resear...
Article
Full-text available
This paper introduces a prospective study of the potential of spatio-temporal graphs (ST-graphs) and knowledge graphs (K-graphs) for the modelling of geographical phenomena. While the integration of time within GIS has long been a domain of major interest, alternative modelling and data manipulation approaches derived from graph and knowledge-based...
Article
Full-text available
An urban landscape can be considered as a background environment that influences humans’ movements at various scales in the city. This research is oriented to the study of the interactions between urban forest patches and their degree of influence and attractions on humans’ behaviors and interactions. The objective is to evaluate the relations betw...
Article
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The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA) simulation-based modelling approach the objectiv...
Article
Full-text available
Nowadays, the very large volumes of trajectory datasets generated by many users and applications offer many opportunities for deriving trends and patterns. Extracting patterns and outliers from people’s movements in urban networks is one of the directions worth being explored. For instance, detecting spatial and temporal similarities between trajec...
Preprint
Full-text available
La pollution plastique est considérée comme un problème environnemental majeur, avec plus de cinq trillions de déchets plastiques répandus dans les océans. Cette accumulation croissante dans les mers et les océans constitue un risque majeur pour les écosystèmes marins, notamment du fait de son introduction dans la chaîne alimentaire. L’objectif de...
Article
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Most Coverage Path Planning (CPP) strategies based on the minimum width of a concave polygonal area are very likely to generate non-optimal paths with many turns. This paper introduces a CPP method based on a Region Optimal Decomposition (ROD) that overcomes this limitation when applied to the path planning of an Unmanned Aerial Vehicle (UAV) in a...
Article
This paper introduces a simplex-based enriched graph data model integrating a discrete and place-based indoor spatial model with a spatial-social network. The proposed model incorporates similarity and relevance measures, exhibited from Q-analysis of simplicial complexes, facilitating data manipulation and revealing latent relations in a spatial-so...
Article
Full-text available
This research introduces a path planning method based on the geometric A-star algorithm. The whole approach is applied to an Automated Guided Vehicle (AGV) in order to avoid the problems of many nodes, long-distance and large turning angle, and these problems usually exist in the sawtooth and cross paths produced by the traditional A-star algorithm...
Article
Full-text available
The continuous development of positioning technologies and computing solutions for the integration of large trajectory datasets offers many novel research opportunities. Among various research domains, the extraction of users’ movement patterns is an important issue that is yet to be addressed. While many previous studies analyzed human and animal...
Article
Full-text available
Land change models are amongst the most widely developed tools for spatial decision support. Despite this progress, only a few models have been created thus far that simulate urban growth that incorporate two important aspects of uncertainty inherent to land use dynamics: fuzziness and roughness. Combining fuzziness and roughness into models will e...
Article
Full-text available
High-resolution images provided by synthetic aperture radar (SAR) play an increasingly important role in the field of ship detection. Numerous algorithms have been so far proposed and relative competitive results have been achieved in detecting different targets. However, ship detection using SAR images is still challenging because these images are...
Article
Space‐time accessibility usually denotes the ability or potential to reach some destinations of value according to some given spatial and temporal constraints. While most of space‐time accessibility models so far recognize that space and time dimensions constrain the way humans might perform some activities at some given locations, additional seman...
Article
Nowadays, gathering information about commercial products can be performed either online or offline. While online searches can be virtually undertaken through online shopping websites, offline searches should be done physically at stores. However, there is a specific emerging trend where users can check some product opportunities online before gett...
Preprint
Full-text available
Accurate and significant wave height prediction with a couple of hours of warning time should offer major safety improvements for coastal and ocean engineering applications. However, significant wave height phenomenon is nonlinear and nonstationary, which makes any prediction simulation a non straightforward task. The aim of the research presented...
Article
Full-text available
Ship detection from high-resolution optical satellite images is still an important task that deserves optimal solutions. This paper introduces a novel high-resolution image network-based approach based on the preselection of a region of interest (RoI). This pre-selected network first identifies and extracts a region of interest from input images. I...
Article
Marine current turbines (MCTs) has progressively attracted wider interest from the industry and many research initiatives due to its potential as a novel world energy resource. However, several technological issues amongst others fault detection of MCT blades still require further progress for their successful implementation. Indeed, power generati...
Article
The search for the most appropriate GIS data model to integrate, manipulate and analyse spatio-temporal data raises several research questions about the conceptualisation of geographic spaces. Although there is now a general consensus that many environmental phenomena require field and object conceptualisations to provide a comprehensive GIS repres...
Chapter
Full-text available
The migrant caravan that recently came out from Central towards North America generated polarized opinions in online social networks. The objective of this paper is to explore the social spatial-temporal trends that emerge from this migrant caravan phenomenon, and based on a combination of social media and newspaper opinions and reports, together w...
Chapter
This research introduces a spatio-temporal planning framework whose objective is to simulate a sailing yacht match race. The race is a duel in which strategy and tactics play a major role as sailors continuously have to take decisions according to wind variations and opponent’s locations and actions. We introduce a decision-aid framework based on a...
Chapter
Social networks provide rich data sources for analyzing people journeys in urban environments. This paper introduces a trusted path system that helps users to find their routes based in low crime rate and theft reports. These data are obtained geo-tagged tweets and an official database. Recommended paths are computed automatically from these data s...
Chapter
The recovery of marine plastic litter has been recently recognised as one of the world greatest environmental challenge. While many recent initiatives are oriented towards the recovery of micro plastics, there is still a need for the development of observation and in situ capabilities that will provide appropriate positional data to combat such cri...
Article
Full-text available
Ship trajectory prediction is a key requisite for maritime navigation early warning and safety, but accuracy and computation efficiency are major issues still to be resolved. The research presented in this paper introduces a deep learning framework and a Gate Recurrent Unit (GRU) model to predict vessel trajectories. First, series of trajectories a...
Article
Full-text available
In many situations, the trajectory of an unmanned aerial vehicle (UAV) is very likely to deviate from the initial path generated by a path planning algorithm. This is in fact due to the existence of dynamic constraints of the UAV. In order to reduce the degree of such a deviation, this research introduces a trajectory planning algorithm, the object...
Article
The recent years have witnessed a greater demand for understanding how people move in urban environments. Due to the widespread usage of mobile phones, there have been several trajectory-based studies focusing on extracting the characteristics of human mobility from georeferenced mobile phone data. Mobile positioning data is generally generated as...
Conference Paper
Full-text available
Modern and connected mobilities have generated an explosive growth of location-based information. Such location data together with related crowd-sensed information, are noticeably available for humans navigating in both indoor and outdoor spaces. Considering the diversity of such multi-environment spaces, and where mobility occurs, raises several d...
Article
A landscape generally consists of both natural and human-made elements of a land area. Human representations of landscapes can cover a wide range of expressions, from figurative paintings to photography and natural language expressions. However, the way humans perceive, describe, and value a given landscape is still a difficult task to address. The...
Article
La recherche présentée dans cet article propose une approche qualitative de qualification d’ambiances sonores dans un espace urbain. La démarche combine une série de mesures psychoacoustiques réalisées in situ à partir d’une gamme complémentaire de capteurs sonores avec une évaluation qualitative réalisée par les acteurs de ces environnements. Les...
Article
Full-text available
Over the past 50 years or so the representation of spatial information within computerized systems has been widely addressed and developed in order to provide suitable data manipulation, analysis, and visualisation mechanisms. The range of applications is unlimited and nowadays impacts almost all sciences and practices. However, current conceptuali...
Article
Full-text available
Investigating the geometric similarity of trajectory data to extract movement patterns in urban environments is an emerging area of research that has attracted several efforts over the past few years. This paper uses a convexhull algorithm whose objective is first to identify curvatures and turning points in a given trajectory and secondly to provi...
Article
Full-text available
Preventing and controlling the risk of importing the coronavirus disease (COVID-19) has rapidly become a major concern. In addition to air freight, ocean-going ships play a non-negligible role in spreading COVID-19 due to frequent visits to countries with infected populations. This research introduces a method to dynamically assess the infection ri...
Book
This book gathers the proceedings of the 9th International Symposium “Information Fusion and Intelligent Geographic Information Systems 2019” (IF&IGIS'2019), which was held in St. Petersburg, Russia from May 22 to 24, 2019. The goal of the symposium was to provide a forum for exchange among leading international scholars in the fields of spatial da...
Article
Full-text available
Deep learning provides appropriate mechanisms to predict vessel trajectories for safer and efficient shipping, but still existing models are mainly oriented to longer-term prediction trends and do not fully support real time navigation needs. While most recent works have been largely exploiting Automatic Identification System (AIS), the complete se...
Article
Full-text available
L’extension des usages de l’information géographique génère une profusion de données qui circulent sur de multiples plateformes Web. Accompagner le suivi du contenu de ces plateformes relève aujourd’hui de la gageure tant elles s’apparentent à des boîtes noires informationnelles et algorithmiques soumises à de fortes dynamiques. Le concept d’observ...
Article
Full-text available
Understanding the structuration of spatio-temporal information is a common endeavour to many disciplines and application domains, e.g., geography, ecology, urban planning, epidemiology. Revealing the processes involved, in relation to one or more phenomena, is often the first step before elaborating spatial functioning theories and specific plannin...
Conference Paper
The experimental research developed in this paper introduces a hybrid temporal GIS representation for studying the dynamics of a coastal seabed. The approach is based on a dual temporal GIS data model that combines the object and field views of space. The first concept is the one of an object-field defined as a field in which each location is assoc...
Article
Urban sprawl is recognized as a challenge in urbanization. It is an unplanned spread of cities into its surrounding area that is caused by rising urban population. This phenomenon, if not properly controlled, can lead to several issues, e.g. traffic congestion, water and air pollution and excessive fuel consumption. A recent extension of the Shanno...
Conference Paper
Full-text available
In recent years, the development of the Internet plays a significant role in human's daily activities. One of the most important effects of the Internet is the change in the process of shopping. The advent of online shopping leads to establish a new channel for customers to obtain information about their desired goods and demands. Although many cus...
Conference Paper
Full-text available
Current GIS data models have problems representing fuzzy, interconnected data sets, due to problems inherent with the underlying abstractions used for storing and manipulating geographical information. These limitations are becoming problematic when processing traditional knowledge of spatio-temporal patterns. The authors present a new approach to...
Article
Full-text available
The increasing availability of big Automatic Identification Systems (AIS) sensor data offers great opportunities to track ship activities and mine spatial-temporal patterns of ship traffic worldwide. This research proposes a data integration approach to construct Global Shipping Networks (GSN) from massive historical ship AIS trajectories in a comp...
Article
Full-text available
Affected by high density, non-uniform, and unstructured seawater environment, fault detection of Marine Current Turbine (MCT) faces various fault features and strong interferences. To solve these problems, a harmonic analysis strategy based on zero-crossing estimation and Empirical Mode Decomposition (EMD) filter banks is proposed. First, the detec...
Article
Identifying influential nodes in social networks is a key issue in many domains such as sociology, economy, biology, and marketing. A common objective when studying such networks is to find the minimum number of nodes with the highest influence. One might for example, maximize information diffusion in social networks by selecting some appropriate n...
Article
Full-text available
The search for suitable marine areas is a prerequisite at an early stage of any offshore renewable energy system project. This paper introduces a methodological framework for identifying the maritime areas the most appropriate to implement an offshore wind turbine farm in the Hong Kong bay. The framework is based on the combined use of Multi-Criter...
Article
Full-text available
Wireless Sensor Networks (WSNs) have been extensively applied in ecological environment monitoring. Typically, event boundary detection is an effective method to determine the scope of an event area in large-scale environment monitoring. This paper proposes a novel lightweight Entropy based Event Boundary Detection algorithm (EEBD) in WSNs. We firs...
Chapter
Ship evacuation simulations have been used for years to track passengers during an emergency situation. However, current models are still relatively complex to use and are therefore only operated by ship designers at best and rarely by crew members in real situations. The goal of this research is to propose an interactive approach that would be use...
Chapter
Full-text available
Recent advances of e-commerce development require the timely delivery of goods. Amongst many challenges to deal with, a logistics company should effectively delineate a service area for vehicles or persons to deliver goods or services to the clients with the minimal overall travel costs while balancing their workloads. Each service area contains a...
Conference Paper
Full-text available
Recent advances of e-commerce development require the timely delivery of goods. Among many challenges to deal with, a logistics company should effectively delineate a service area for vehicles or persons to deliver goods or services to the clients with the minimal overall travel costs while balancing their workloads. Each service area contains a ce...