Sylvie Daniel

Université Laval | ULAVAL · Department of Geomatic Sciences

Coastal environments, which are crucial for economic and strategic reasons, heavily rely on accurate bathymetry for safe navigation and resource monitoring. Recent advancements in through-water photogrammetry have shown promise in mapping shallow waters efficiently. However, robust uncertainty modeling methods for these techniques, especially in ch...

SegContrast first paved the way for contrastive learning on outdoor point clouds. Its original formulation targeted individual scans in applications like autonomous driving and object detection. However, mobile mapping purposes such as digital twin cities and urban planning require large-scale dense datasets to capture the full complexity and diver...

Coastal environments, of major economic, social, and strategic importance, rely heavily on bathymetry for navigation safety, harbor development, and resource monitoring. Innovations in bathymetry include optical alternatives for shallower waters, as traditional acoustic solutions are less efficient. Recent studies demonstrated airborne imagery is a...

Topo‐bathymetric LiDAR (TBL) can provide a continuous digital elevation model (DEM) for terrestrial and submerged portions of rivers. This very high horizontal spatial resolution and high vertical accuracy data can be promising for flood plain mapping using hydrodynamic models. Despite the increasing number of papers regarding the use of TBL in flu...

The identification of bedforms has an important role in the study of seafloor morphology. The presence of these dynamic structures on the seafloor represents a hazard for navigation. They also influence the hydrodynamic simulation models used in the context, for example, of coastal flooding. Generally, MultiBeam EchoSounders (MBES) are used to surv...

Currently, 3D point clouds are being used widely due to their reliability in presenting 3D objects and accurately localizing them. However, raw point clouds are unstructured and do not contain semantic information about the objects. Recently, dedicated deep neural networks have been proposed for the semantic segmentation of 3D point clouds. The foc...

We present a new method for the simplification of 3D point clouds for digital twin city models. Such data usually contains a large amount of redundant information, noise and outliers. This implies that most of subsequent processing tasks are costly both in terms of processing times and hardware infrastructure. The core idea of this paper is that mo...

Stakeholders’ Participation (SP) aims to involve stakeholders in decision-making processes about significant choices affecting their organizations, cities, or communities. Stakeholders’ participation is maintained through SP processes (SPPs) that may be traditional (e.g., physical assemblies) or online (e.g., online forums). Whether traditional or...

The estimation of the uncertainty related to bathymetric data is essential in determining the quality of the data acquisition. This estimation is based on the covariance propagation considering the classical sounding georeferencing model. The estimation of the uncertainty using the Total Propagated Uncertainty (TPU) model is well described in the l...

The Canadian Ocean Mapping Research and Education Network (COMREN) aims to develop research activities, achieve technology transfer to industry, and develop and run educational programs. The International School on Hydrographic Surveying (ISHS) is the first training program proposed by the network. It was designed to provide participants with a mul...

Given the high frequency and major impact of flood events, decision-makers are in urgent need to have tools allowing them to predict or assess the impact of flood events on the population, such as flood simulation through digital 3D cities. While building’s lowest openings are more subject to potential damages during the flood, 3D building models o...

The identification of underwater landforms represents an important role in the study of the seafloor morphology. In this context, the segmentation and characterization of underwater dunes allow a better understanding of the dynamism of the seafloor, since the formation of these structures is directly related to environmental conditions, such as cur...

Over the last decade, expanded participation among stakeholders has been increasingly adopted by both public and private organizations in different domains. This approach is used to strengthen the involvement of stakeholders in decision-making processes about meaningful decisions that will affect their communities. This paper aims to review, catego...

The recognition of underwater dunes has a central role to ensure safe navigation. Indeed, the presence of these dynamic landforms on the seafloor represents a hazard for navigation, especially in navigation channels, and should be at least highlighted to avoid collision with vessels. This paper proposes a novel method dedicated to the segmentation...

The benefit of autonomous vehicles in hydrography is largely based on the ability of these platforms to carry out survey campaigns in a fully autonomous manner. One solution is to have real-time processing onboard the survey vessel. To meet this real-time processing goal, deep learning based-models are favored. Although Artificial Intelligence (AI)...

Applications based on synergistic integration of optical imagery and LiDAR data are receiving a growing interest from the remote sensing community. However, a misaligned integration of these datasets fails to fully profit from the potential of both sensors. An optimum fusion of optical imagery and LiDAR data requires an accurate registration. This...

Automatic extraction of buildings in urban and residential scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly since the mid-1990s. Active contour model, colloquially known as snake model, has been studied to extract buildings from aerial and satellite imagery. However, this task is still...

Automatic extraction of buildings in urban and residential scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly since mid-1990s. Active contour model, colloquially known as snake model, has been studied to extract buildings from aerial and satellite imagery. However, this task is still ver...

With the development of 3D measurement systems, dense colored point clouds are increasingly available. However, up to now, their use in interactive applications has been restricted by the lack of support for point clouds in game engines. In addition, many of the existing applications for point clouds lack the capacity for fluent user interaction an...

Play is an interactive and fun learning activity. Thanks to digitization, there is an upswing in the game-based learning sector which opens up opportunities for all-age audience to use Digital Games for Learning (DGL): from kids to elders. This book emphasizes the potential of digital games for lifelong learning and deals with the different aspects...

Dans ce livre, différentes approches ludiques supportées par les jeux numériques pour l’apprentissage (JNA) sont explorées : les jeux sérieux éducatifs (JSÉ), l’usage ou détournement pédagogique de jeux numériques de divertissement dans un contexte éducatif ou encore les démarches de ludification éducative. Le livre introduit une démarche de créati...

Applications based on synergistic integration of optical imagery and LiDAR data are receiving a growing interest from the remote sensing community. However, a misaligned integration between these datasets may fail to fully profit the potential of both sensors. In this regard, an optimum fusion of optical imagery and LiDAR data requires an accurate...

Automatic extraction of buildings in urban scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly with the emergence of LiDAR systems since mid-1990s. However, in reality, this task is still very challenging due to the complexity of building size and shape, as well as its surrounding environ...

Automatic extraction of buildings in urban scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly with the emergence of LiDAR systems since mid-1990s. However, in reality, this task is still very challenging due to the complexity of building size and shapes, as well as its surrounding enviro...

Participation processes (PPs) are more and more requested in different areas given their capability to promote constructive exchange and innovative ideas and to bring a great value to decision-making processes. PPs aim to generate new data that decision-makers can consider and transform into relevant knowledge to support their decision-making proce...

Web-mapping has been widely used to facilitate citizen participation in smart cities. Web-mapping has evolved from 2D static maps towards more dynamic and immersive 3D worlds such as virtual globes and scenes. Although current technologies allow us to build multidimensional representations, there is still a lack of research studies on how to furthe...

The motivation of this paper is to address the problem of registering airborne LiDAR data and optical aerial or satellite imagery acquired from different platforms, at different times, with different points of view and levels of detail. In this paper, we present a robust registration method based on building regions, which are extracted from optica...

To contribute in filling up the semantic gap in data warehouses and OLAP data cubes, and enable semantic exploration and reasoning on them, this paper highlights the need for semantically augmenting Geo/BI data with convenient semantic relations, and provides OWL-based ontologies (ODW and OOLAP) which are capable of replicating data warehouses (res...

Understanding a LiDAR point cloud entails recognizing the objects present in the scene and associating interpretations to the object clouds that make it up. LiDAR data acquired in a large-scale urban setting with landbased mobile telemetry systems present several challenges specific to this context: overlapping point clouds, occlusion between objec...

Citizen participation (CP) aims to reinforce the engagement of citizens in decision-making processes about significant choices affecting their cities and communities. With the emergence of the web-based crowdsourcing model, participants have become more involved in electronic participation processes. However, according to the literature, CP process...

Understanding a LiDAR point cloud entails recognizing the objects present in the scene and associating interpretations to the object clouds that make it up. LiDAR data acquired in a large-scale urban setting with land-based mobile telemetry systems present several challenges specific to this context: overlapping point clouds, occlusion between obje...

Parallel, an innovative teaching and learning tool, was designed by a multidisciplinary team gathering together university and college professors, post-graduate students, teachers, as well as young adults and college students. The creation of Parallel, made possible fruitful collaboration between students, teachers and researchers. The collaborativ...

This paper addresses the heterogeneous data registration problem, which is one of the key features for any scene reconstruction and representation, especially for the underwater environment. In this study, we propose a registration method built around a 2D-to-3D feature-based approach that registers high-resolution side-scan sonar images with bathy...

This research aims to design a new matching approach between terrestrial LiDAR (Light detection and Ranging) data and Synthetic Aperture Ladar (SAL) images. SAL is the extension of SAR (Synthetic Aperture Radar) to much shorter wavelengths, thus providing higher resolution. SAL acquires 2D images that are continuous representations of an environmen...

Citizen participation (CP) aims to reinforce citizens' involvement in decision-making processes concerning significant choices that will affect their communities. As information and communication technologies have been gradually adopted in CP processes, CP evolved to become e-participation. Among technologies that are relevant to citizen participat...

Governments are more and more adopting Citizens' participation processes since they may help better understand needs and better reach communities' goals. With the emergence of ICTs, citizens' participation processes took new forms such as social media, blogs and participative platforms. Nevertheless, although citizens' participation outstands a gre...

Le jeu est une activité humaine universelle qui commence dès le plus jeune âge comme un moyen de découverte et d’apprentissage du monde qui nous entoure. Les jeux numérique pour l’apprentissage (JNA) ont pour but d’engager les apprenants dans une activité d’apprentissage engageante, mais la relation entre intention ludique (game), mécaniques d’appr...

This qualitative research is part of a learning effort to better understand how serious games are exploited in a science education context. The research team examined this issue by focusing on augmented reality as a technological innovation imbedded on a tablet. Given the current state of knowledge related to serious games and augmented reality, an...

Mobile professionals need to be assisted with suitable mobile GeoBI (Geospatial Business Intelligence) systems which are able to capture, organize and structure the user’s reality into a relevant context model and reason on it. GeoBI context modelling and reasoning are still research issues since there is not yet either a model or a relevant taxono...

Unmanned aircraft systems, commonly known as drones, have become a new trend in the field of remote sensing and have been experiencing unprecedented growth in the civilian world since the start of the last decade. These systems allow us to fill many gaps that occur with airborne remote sensing. As opposed to planes, drones can be easily and quickly...

Mobile applications are particularly exciting to geographers due to their ability to collect swathes of spatial data from citizens, to present information relevant to a user's current location, and to present data via interactive visualizations. While these functions are presented together within a single mobile location-based application (LBApps),...

Information and Communication Technologies (ICTs) revolutionize the ways different urban actors communicate and interact. Geographic information technologies are of key importance too for the deployment and implementation of ICTs in the Smart City, because of the central role they may play as decision-making support tools. Indeed, they give quick a...

Business professionals are increasingly mobile and should be supported by suitable mobile Decision Support Systems (DSS). In our previous work, we have established that such suitable mobile DSS should be (i) GeoBI(Geospatial Business Intelligence)-enabled and (ii) context-based, and have addressed issues regarding context characterization and conte...

Unmanned aircraft systems, commonly known as drones, have become a new trend in the field of remote sensing and have been experiencing unprecedented growth in the civilian world since the start of the last decade. These systems allow us to fill many gaps that occur with airborne remote sensing. As opposed to planes, drones can be easily and quickly...

Information and Communication Technologies (ICTs) revolutionize the ways different urban actors communicate and interact. Geographic information technologies are of key importance too for the deployment and implementation of ICTs in the Smart City, because of the central role they may play as decision-making support tools. Indeed, they give quick a...

This paper proposes a new tool for interactive visualization of underground infrastructures. As underground services can be easily damaged during excavation work, it’s important to take proper precautions. Professionals require in situ tools that will provide them with a greater efficiency of intervention and a better assessment of work progress. A...

Since climate change impact studies have shown that the marine environment could be greatly weakened by the disappearance of some flora and fauna species and the rapid aging of underwater infrastructure, new, efficient and robust observation tools are required. In this paper we propose acoustic cameras as innovative tools for acquiring underwater d...

The integration of the 3rd dimension in the production of spatial representation is largely recognized as a valuable approach to comprehend our reality, that is 3D. During the last decade developments in 3D Geoinformation (GI) system have made substantial progress. We are about to have a more complete spatial model and understanding of our planet i...

The integration of the 3rd dimension in the production of spatial representation is largely recognized as a valuable approach to comprehend our reality, that is 3D. During the last decade developments in 3D Geoinformation (GI) system have made substantial progress. We are about to have a more complete spatial model and understanding of our planet i...

Since climate change impact studies have shown that the marine environment could be greatly weakened by the disappearance of some flora and fauna species and the rapid aging of underwater infrastructure, new, efficient and robust observation tools are required. In this paper we propose acoustic cameras as innovative tools for acquiring underwater d...

This paper investigates the use of smartphone technology as a tool to implement building energy audit programmes to increase energy conservation measure (ECM) uptake and concomitant environmental and economic benefits. The smartphone audit analysed provides an energy audit platform with: (i) quasi-real time analysis, (ii) continuous user engagement...

Current high-resolution sidescan and multibeam sonars produce very large data sets. However, conventional interferometry-based bathymetry algorithms underestimate the potential information of such soundings, generally because they use small baselines to avoid phase ambiguity. Moreover, these algorithms limit the triangulation capabilities of multib...

With the requirements for high performance results in the today’s mobile, global, highly competitive, and technology-based business world, business professionals have to get supported by convenient mobile decision support systems (DSS). To give an improved support to mobile business professionals, it is necessary to go further than just allowing a...

Research networks foster creativity and break down institutional bar-riers, but introduce geographic barriers to communication and collaboration. Indesigning mobile educational games, our distributed team took advantage of di-verse talent pools and differing perspectives to drive forward a core vision of our design targets. Our strategies included...

Mobile learning is increasingly commonplace at all levels of education as well as in the workplace. Its flexibility, immediacy and ubiquity are such that large-scale adoption is inevitable, especially as smart phone technology becomes affordable. This paper is important because it presents a project which is innovative in combining M-learning with...

This paper introduces a methodology to reconstruct underwater environment using two images of the same scene, acquired by an acoustical camera from different points of view. The final target of the work is to produce a full 3D representation of the observed environment to improve its exploration and analysis. Indeed, as the DIDSON acoustic camera p...

The vast majority of mobile AR applications currently available propose to "augment" the user world perception with annotations and 3D graphics. However, the augmentation principle of these applications does not involve information about the user surroundings when rendering the digital graphics. As a result, occlusions are not managed. To manage oc...

The last few years have seen an explosion of mobile Web services and GIS tools with the advent of smart phones which offer fast data access, high resolution displays, and significant processing power. Within a few years, mobile devices will know where they are, what direction they are facing, and how they are moving. Those designing Web resources a...

Available at: http://link.springer.com/chapter/10.1007%2F978-3-642-12670-3_10 The emergence of powerful mobile smartphones, with embedded components (camera, GPS, accelerometers, digital compass), triggered a lot of interest in the mobile augmented reality (AR) community and new AR applications relying on these devices are beginning to reach the ge...

GéoÉduc3D vise à concevoir et à mettre en œuvre un ensemble d’outils d’apprentissage innovants qui vont permettre de comprendre in situ des phénomènes relatifs à desthématiques pertinentes pour les jeunes mais également en termes de perception et cognitionspatiale liés à la géomatique. Pour cela, le projet GéoÉduc3D s’ancre principalement dans la m...

This paper introduces a system for three-dimensional (3D) reconstruction of underwater environments using multiple images acquired by an acoustical camera from different points of view. The final target of the work is to produce a full 3D representation of the observed environment to improve its exploration and analysis. Indeed, as the DIDSON acous...

This paper proposes a new tool for close range photogrammetry survey. It has been designed to assist nonexpert users when conducting 3D survey of infrastructures. Close range photogrammetry requires specific acquisition setup in order to build precise and accurate 3D model. While an expert user will know where to locate his camera stations and how...