Sylvie Daniel
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View article: Context-Aware Feature Adaptation for Mitigating Negative Transfer in 3D LiDAR Semantic Segmentation
Context-Aware Feature Adaptation for Mitigating Negative Transfer in 3D LiDAR Semantic Segmentation Open
Semantic segmentation of 3D LiDAR point clouds is crucial for autonomous driving and urban modeling but requires extensive labeled data. Unsupervised domain adaptation from synthetic to real data offers a promising solution, yet faces the …
View article: Context-Aware Feature Adaptation for Mitigating Negative Transfer in 3D LiDAR Semantic Segmentation
Context-Aware Feature Adaptation for Mitigating Negative Transfer in 3D LiDAR Semantic Segmentation Open
Semantic segmentation of 3D LiDAR point clouds is crucial for autonomous driving and urban modeling, but requires extensive labeled data. Unsupervised domain adaptation from synthetic to real data offers a promising solution, yet faces the…
View article: A Likelihood-Based Triangulation Method for Uncertainties in Through-Water Depth Mapping
A Likelihood-Based Triangulation Method for Uncertainties in Through-Water Depth Mapping Open
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 …
View article: CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo Open
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 dig…
View article: A Likelihood-based Triangulation Method for Uncertainties in Through-Water Depth Mapping
A Likelihood-based Triangulation Method for Uncertainties in Through-Water Depth Mapping Open
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 …
View article: LiDAR topo‐bathymetry for riverbed elevation assessment: A review of approaches and performance for hydrodynamic modelling of flood plains
LiDAR topo‐bathymetry for riverbed elevation assessment: A review of approaches and performance for hydrodynamic modelling of flood plains Open
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 p…
View article: Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River
Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River Open
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 u…
View article: Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks
Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks Open
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. Recent…
View article: The Identification of Stakeholders’ Living Contexts in Stakeholder Participation Data: A Semantic, Spatial and Temporal Analysis
The Identification of Stakeholders’ Living Contexts in Stakeholder Participation Data: A Semantic, Spatial and Temporal Analysis Open
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 (SPP…
View article: An Empirical Study of the Influence of Seafloor Morphology on the Uncertainty of Bathymetric Data
An Empirical Study of the Influence of Seafloor Morphology on the Uncertainty of Bathymetric Data Open
International audience
View article: COMREN International School on Hydrographic Surveying - A Pan-Canadian collaborative Training Program
COMREN International School on Hydrographic Surveying - A Pan-Canadian collaborative Training Program Open
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 (…
View article: A method for automatic identification of openings in buildings facades based on mobile LiDAR point clouds for assessing impacts of floodings
A method for automatic identification of openings in buildings facades based on mobile LiDAR point clouds for assessing impacts of floodings Open
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…
View article: An Approach for the Automatic Characterization of Underwater Dunes in Fluviomarine Context
An Approach for the Automatic Characterization of Underwater Dunes in Fluviomarine Context Open
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…
View article: A Segmentation Approach to Identify Underwater Dunes from Digital Bathymetric Models
A Segmentation Approach to Identify Underwater Dunes from Digital Bathymetric Models Open
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…
View article: INVESTIGATING FULLY CONVOLUTIONAL NETWORK TO SEMANTIC LABELLING OF BATHYMETRIC POINT CLOUD
INVESTIGATING FULLY CONVOLUTIONAL NETWORK TO SEMANTIC LABELLING OF BATHYMETRIC POINT CLOUD Open
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 mee…
View article: Interactive dense point clouds in a game engine
Interactive dense point clouds in a game engine Open
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. I…
View article: Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes
Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes Open
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 potentia…
View article: Robust Building-Based Registration of Airborne Lidar Data and Optical Imagery on Urban Scenes
Robust Building-Based Registration of Airborne Lidar Data and Optical Imagery on Urban Scenes Open
The motivation of this paper is to address the problem of registering\nairborne LiDAR data and optical aerial or satellite imagery acquired from\ndifferent platforms, at different times, with different points of view and\nlevels of detail.…
View article: Multidimensional Web GIS Approach for Citizen Participation on Urban Evolution
Multidimensional Web GIS Approach for Citizen Participation on Urban Evolution Open
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…
View article: Towards Semantic Geo/BI: A Novel Approach for Semantically Enriching Geo/BI Data with OWL Ontological Layers (OOLAP and ODW) to Enable Semantic Exploration, Analysis and Discovery of Geospatial Business Intelligence Knowledge
Towards Semantic Geo/BI: A Novel Approach for Semantically Enriching Geo/BI Data with OWL Ontological Layers (OOLAP and ODW) to Enable Semantic Exploration, Analysis and Discovery of Geospatial Business Intelligence Knowledge Open
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 rel…
View article: Heterogeneous Data Registration for 3D Underwater Scene Reconstruction
Heterogeneous Data Registration for 3D Underwater Scene Reconstruction Open
International audience
View article: Observation and analysis of a classroom teaching and learning practice based on augmented reality and serious games on mobile platforms
Observation and analysis of a classroom teaching and learning practice based on augmented reality and serious games on mobile platforms Open
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 innovatio…
View article: An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis
An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis Open
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 cont…