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Gabriel Lanzer Kannenberg

dblp:211/2300 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3Human-computer interaction and ubiquitous computing · 3Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
3 papers
Visualization and visual analytics · 67% Virtual and augmented reality · 33%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Computing education · 74% Environmental and earth informatics · 26%
Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction
virtual reality
0.412019
MOSIS: Immersive Virtual Field Environments for Earth Sciences · VR 2019
Visualization and visual analytics › visual analytics
immersive analytics
0.312018
Immersive Virtual Fieldwork: Advances for the Petroleum Industry · VR 2018
Environmental and earth informatics › geoscience
geoscience visualization
0.112019
MOSIS: Immersive Virtual Field Environments for Earth Sciences · VR 2019
Virtual and augmented reality
immersive visualization
0.112019
MOSIS: Immersive Virtual Field Environments for Earth Sciences · VR 2019
Visualization and visual analytics
scientific visualization
0.112018
Immersive Virtual Fieldwork: Advances for the Petroleum Industry · VR 2018

Methods — techniques the papers use, named apart from their topics

immersive VR · 1.13d visualization · 1.1system usability scale · 0.7photogrammetry · 0.3laser scanning · 0.3
YearPublicationVenuePosition
2019 MOSIS V2: Immersive Virtual Outcrop Models
abstract
The virtual reality is becoming an important asset in the recent years bringing immersion to simple tasks as gaming, modeling, and learning. Following this trend, the MOSIS (Multi Outcrop Sharing and Interpretation System) was created to help earth scientists and other users to visualize and study outcrops, important sources of information to the Oil & Gas industry. Basing on the user's feedback some updates were identified to improve the user experience. Thus, a new version of the software (MOSIS V2) was developed, with updates in both, interface and toolset. New possibilities and the model scalability were introduced in the toolset. MOSIS V2 was well graded in SUS (System Usability Scale) [1] which has validated the changes that were made.
Pedro Rossa, Julia Boesing, Luiz Gonzaga 0001, Maurício Roberto Veronez, Caroline Lessio Cazarin, Rafael Kenji Horota, Alysson Soares Aires, Ademir Marques Junior, Eniuce Menezes De Souza, Gabriel Lanzer Kannenberg, Jean Luca de Fraga, Leonardo Santana, Demetrius Nunes Alves
IGARSS10
2019 MOSIS: Immersive Virtual Field Environments for Earth Sciences
abstract
For the past decades, environmental studies have been mostly a field activity, especially when concerning geosciences, where rock exposures could not be represented or taken into laboratories. Besides that, VR (Virtual Reality) is growing in many academic areas as an important technology to represent 3D objects, bringing immersion to the most simple tasks. Following that trend, MOSIS (Multi Outcrop Sharing and Interpretation System) was created to help earth scientists and other users to visualize and study VFEs (Virtual Field Environments) from all over the world in immersive virtual reality.
Pedro Rossa, Rafael Kenji Horota, Ademir Marques Junior, Alysson Soares Aires, Eniuce Menezes De Souza, Gabriel Lanzer Kannenberg, Jean Luca de Fraga, Leonardo Gomes Santana, Demetrius Nunes Alves, Julia Boesing, Luiz Gonzaga 0001, Maurício Roberto Veronez, Caroline Lessio Cazarin
VR6
2018 Immersive Virtual Fieldwork: Advances for the Petroleum Industry
abstract
Laser scanning and photogrammetry techniques have been broadly adopted by Oil&Gas industry for modeling petroleum reservoir analogues. Beyond the benefits of digital data itself, computer systems employed by geoscientists for interpretation and modeling tasks provide high quality rendering, point clouds surface meshes and photo-realistic textured models. But these systems, commonly, have used 2-D display, the 3-D models and information are projected on the screen, providing a limited visualization and restrictive toolset for interpretation. This work proposes to break this paradigm by developing a fully immersive system capable to virtually teleport the geoscientists to the fieldwork and provide a complete toolset for the outcrop's interpretation. Besides, the system has been evaluated and validated by geologists with different skills and it has emerged as an useful and attractive toolset for Oil&Gas industry.
Luiz Gonzaga 0001, Maurício Roberto Veronez, Gabriel Lanzer Kannenberg, Demetrius Nunes Alves, Caroline Lessio Cazarin, Leonardo Gomes Santana, Jean Luca de Fraga, Leonardo Campos Inocencio, Lais V. de Souza, Fernando Marson, Fabiane Bordin, Francisco Manoel Wohnrath Tognoli
VR3
2018 RIDERS: Road Inspection & Driver Simulation
abstract
The main goal of this paper was to evaluate the use of a low cost immersive driving simulator to improve the teaching learning process of the Transport Infrastructure undergraduate course. The driving simulator that was developed in a virtual reality environment to assist both the teaching of engineering and the research on road safety. An experiment was conducted in Transport Infrastructure 1 course for Civil Engineering students in a Brazilian university. The students developed a geometric design of a road that was posteriorly modeled in 3D and provided in simulator. Students piloted a vehicle in the immersive simulator in the same road that they designed. Subsequently the usability of the system was assessed by the SUS metric (System Usability Scale). We performed an evaluation with 52 users and the SUS metric that we found was of 73% assuring a degree of usability above average and demonstrating that the immersive system is good to be used as a complementary tool in the learning of transport infrastructure.
Maurício Roberto Veronez, Luiz Gonzaga 0001, Fabiane Bordin, Lucas S. Kupssinskü, Gabriel Lanzer Kannenberg, Tiago Duarte, Leonardo Gomes Santana, Jean Luca de Fraga, Demetrius Nunes Alves, Fernando Marson
VR5
2017 MOSIS - Multi-outcrop sharing & interpretation system
abstract
The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for creating 3-D models of natural outcrops and surfaces studies have increased dramatically in the last few years. These techniques have provided an enormous amount of data for interpretation by geoscientists. However, these researchers have no available software capable of offering a user experience comparable to the fieldwork. The majority of solutions have considered desktop systems, which presents inherent limitations due to the 2-D characteristics of displays and loss of immersion into the 3-D model, or up until expensive and complex stereoscopic based approaches to improve the 3-D user experience do not offer well suitable solutions. To address these limitations, this paper presents a low-cost completely disruptive solution for processing, visualizing, sharing and directly handling Digital Outcrop Models with the support of a full interpretation toolset, the MOSIS System. The proposed system provides a fully immersive computational environment, capable of teleporting virtually geoscientists to the fieldwork, giving an awareness of being there physically with an extensible toolset for the DOM's interpretation. Besides, desktop, web and mobile versions of MOSIS have been under development and fulfill the lack of tools for digital outcrop modeling.
Luiz Gonzaga 0001, Maurício Roberto Veronez, Demetrius Nunes Alves, Fabiane Bordin, Gabriel Lanzer Kannenberg, Fernando Marson, Francisco Manoel Wohnrath Tognoli, Leonardo Campos Inocencio
IGARSS5