Search Results - "Fehr, Marius"

Refine Results
  1. 1

    Modelify: An approach to incrementally build 3D object models for map completion by Furrer, Fadri, Novkovic, Tonci, Fehr, Marius, Grinvald, Margarita, Cadena, Cesar, Nieto, Juan, Siegwart, Roland

    “…The capabilities of discovering new knowledge and updating the previously acquired one are crucial for deploying autonomous robots in unknown and changing…”
    Get full text
    Journal Article
  2. 2

    VersaVIS-An Open Versatile Multi-Camera Visual-Inertial Sensor Suite by Tschopp, Florian, Riner, Michael, Fehr, Marius, Bernreiter, Lukas, Furrer, Fadri, Novkovic, Tonci, Pfrunder, Andreas, Cadena, Cesar, Siegwart, Roland, Nieto, Juan

    Published in Sensors (Basel, Switzerland) (06-03-2020)
    “…Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with…”
    Get full text
    Journal Article
  3. 3

    Incremental Object Database: Building 3D Models from Multiple Partial Observations by Furrer, Fadri, Novkovic, Tonci, Fehr, Marius, Gawel, Abel, Grinvald, Margarita, Sattler, Torsten, Siegwart, Roland, Nieto, Juan

    “…Collecting 3D object data sets involves a large amount of manual work and is time consuming. Getting complete models of objects either requires a 3D scanner…”
    Get full text
    Conference Proceeding
  4. 4

    Topomap: Topological Mapping and Navigation Based on Visual SLAM Maps by Blochliger, Fabian, Fehr, Marius, Dymczyk, Marcin, Schneider, Thomas, Siegwart, Rol

    “…Visual robot navigation within large-scale, semistructured environments deals with various challenges such as computation intensive path planning algorithms or…”
    Get full text
    Conference Proceeding
  5. 5

    TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery by Fehr, Marius, Furrer, Fadri, Dryanovski, Ivan, Sturm, Jurgen, Gilitschenski, Igor, Siegwart, Roland, Cadena, Cesar

    “…Robots that are operating for extended periods of time need to be able to deal with changes in their environment and represent them adequately in their maps…”
    Get full text
    Conference Proceeding
  6. 6

    Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning by Oleynikova, Helen, Taylor, Zachary, Fehr, Marius, Siegwart, Roland, Nieto, Juan

    “…Micro Aerial Vehicles (MAVs) that operate in unstructured, unexplored environments require fast and flexible local planning, which can replan when new parts of…”
    Get full text
    Conference Proceeding
  7. 7

    Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization by Schneider, Thomas, Dymczyk, Marcin, Fehr, Marius, Egger, Kevin, Lynen, Simon, Gilitschenski, Igor, Siegwart, Roland

    Published in IEEE robotics and automation letters (01-07-2018)
    “…Robust and accurate visual-inertial estimation is crucial to many of today's challenges in robotics. Being able to localize against a prior map and obtain…”
    Get full text
    Journal Article
  8. 8

    History-Aware Autonomous Exploration in Confined Environments Using MAVs by Witting, Christian, Fehr, Marius, Behnemann, Rik, Oleynikova, Helen, Siegwart, Roland

    “…Many scenarios require a robot to be able to explore its 3D environment online without human supervision. This is especially relevant for inspection tasks and…”
    Get full text
    Conference Proceeding
  9. 9

    maplab 2.0 - A Modular and Multi-Modal Mapping Framework by Cramariuc, Andrei, Bernreiter, Lukas, Tschopp, Florian, Fehr, Marius, Reijgwart, Victor, Nieto, Juan, Siegwart, Roland, Cadena, Cesar

    Published in IEEE robotics and automation letters (01-02-2023)
    “…Integration of multiple sensor modalities and deep learning into Simultaneous Localization And Mapping (SLAM) systems are areas of significant interest in…”
    Get full text
    Journal Article
  10. 10

    A Modular and Multi-Modal Mapping Framework by Cramariuc, Andrei, Bernreiter, Lukas, Tschopp, Florian, Fehr, Marius, Reijgwart, Victor, Nieto, Juan, Siegwart, Roland, Cadena, Cesar

    Published in IEEE robotics and automation letters (01-01-2023)
    “…Integration of multiple sensor modalities and deep learning into Simultaneous Localization And Mapping (SLAM) systems are areas of significant interest in…”
    Get full text
    Journal Article
  11. 11

    Visual-Inertial Teach and Repeat Powered by Google Tango by Fehr, Marius, Schneider, Thomas, Siegwart, Roland

    “…Many industrial facilities require periodic visual inspections. Often the points of interest are out of reach or in potentially hazardous environment…”
    Get full text
    Conference Proceeding
  12. 12

    3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs by Streiff, Dominc, Bernreiter, Lukas, Tschopp, Florian, Fehr, Marius, Siegwart, Roland

    “…With the advent of powerful, light-weight 3D LiDARs, they have become the hearth of many navigation and SLAM algorithms on various autonomous systems…”
    Get full text
    Conference Proceeding
  13. 13

    Versatile Airborne Ultrasonic NDT Technologies via Active Omni-Sliding with Over-Actuated Aerial Vehicles by Hui, Tong, Braun, Florian, Scheidt, Nicolas, Fehr, Marius, Fumagalli, Matteo

    Published 08-11-2023
    “…Experimental Robotics. ISER 2023. Springer Proceedings in Advanced Robotics, vol 30 This paper presents the utilization of advanced methodologies in aerial…”
    Get full text
    Journal Article
  14. 14

    Predicting Unobserved Space for Planning via Depth Map Augmentation by Fehr, Marius, Taubner, Tim, Liu, Yang, Siegwart, Roland, Cadena, Cesar

    “…Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D…”
    Get full text
    Conference Proceeding
  15. 15

    maplab 2.0 -- A Modular and Multi-Modal Mapping Framework by Cramariuc, Andrei, Bernreiter, Lukas, Tschopp, Florian, Fehr, Marius, Reijgwart, Victor, Nieto, Juan, Siegwart, Roland, Cadena, Cesar

    Published 03-01-2023
    “…Integration of multiple sensor modalities and deep learning into Simultaneous Localization And Mapping (SLAM) systems are areas of significant interest in…”
    Get full text
    Journal Article
  16. 16

    3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs by Streiff, Dominic, Bernreiter, Lukas, Tschopp, Florian, Fehr, Marius, Siegwart, Roland

    Published 25-03-2021
    “…With the advent of powerful, light-weight 3D LiDARs, they have become the hearth of many navigation and SLAM algorithms on various autonomous systems…”
    Get full text
    Journal Article
  17. 17

    Hybrid Topological and 3D Dense Mapping through Autonomous Exploration for Large Indoor Environments by Gomez, Clara, Fehr, Marius, Millane, Alex, Hernandez, Alejandra C., Nieto, Juan, Barber, Ramon, Siegwart, Roland

    “…Robots require a detailed understanding of the 3D structure of the environment for autonomous navigation and path planning. A popular approach is to represent…”
    Get full text
    Conference Proceeding
  18. 18

    Predicting Unobserved Space For Planning via Depth Map Augmentation by Fehr, Marius, Taubner, Tim, Liu, Yang, Siegwart, Roland, Cadena, Cesar

    Published 13-11-2019
    “…Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D…”
    Get full text
    Journal Article
  19. 19

    Long-term Large-scale Mapping and Localization Using maplab by Dymczyk, Marcin, Fehr, Marius, Schneider, Thomas, Siegwart, Roland

    Published 28-05-2018
    “…This paper discusses a large-scale and long-term mapping and localization scenario using the maplab open-source framework. We present a brief overview of the…”
    Get full text
    Journal Article
  20. 20

    History-aware Autonomous Exploration in Confined Environments using MAVs by Witting, Christian, Fehr, Marius, Bähnemann, Rik, Oleynikova, Helen, Siegwart, Roland

    Published 28-03-2018
    “…Many scenarios require a robot to be able to explore its 3D environment online without human supervision. This is especially relevant for inspection tasks and…”
    Get full text
    Journal Article