A Robust and Modular Multi-Sensor Fusion Approach Applied to MAV Navigation

Autor: Simon Lynen, Margarita Chli, Markus W. Achtelik, Stephan Weiss, Roland Siegwart

Publikováno v: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : 3-7 November 2013, Tokyo, Japan
Lynen, S, Achtelik, M W, Weiss, S, Chli, M & Siegwart, R 2013, A ROBUST AND MODULAR MULTI-SENSOR FUSION APPROACH APPLIED TO MAV NAVIGATION . in Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2013 . Institute of Electrical and Electronics Engineers (IEEE), pp. 3923-3929 . https://doi.org/10.1109/IROS.2013.6696917
IROS

It has been long known that fusing information from multiple sensors for robot navigation results in increased robustness and accuracy. However, accurate calibration of the sensor ensemble prior to deployment in the field as well as coping with senso

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Learning Active Fusion of Multiple Experts' Decisions: An Attention-Based Approach

Autor: Roland Siegwart, Maryam S. Mirian, Majid Nili Ahmadabadi, Babak Nadjar Araabi

Publikováno v: Neural Computation, 23 (2)

Neural Computation, 23 (2)
ISSN:0899-7667
ISSN:1530-888X

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726cf2f3c8b1c095c540f5f33926e3ef

Unsupervised detection of artificial objects in outdoor environments

Autor: Roland Siegwart, Luciano Spinello

Publikováno v: Springer Tracts in Advanced Robotics, 42
Field and service robotics
Springer Tracts in Advanced Robotics ISBN: 9783540754039
FSR

Springer Tracts in Advanced Robotics, 42
ISSN:1610-7438
Field and service robotics
ISBN:978-3-540-75403-9

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53cbf35eb1ad37a0a3eadc68982ec060
https://hdl.handle.net/20.500.11850/9099

Consistency for L₂boosting and matching pursuit with trees and tree-type basis functions

Autor: Bühlmann, Peter Lukas

Publikováno v: Research report / Seminar für Statistik, Eidgenössische Technische Hochschule (ETH), 109

Research report / Seminar für Statistik, Eidgenössische Technische Hochschule (ETH), 109

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d056c3e76ca0b491aeb40b0b5b5f657
https://hdl.handle.net/20.500.11850/146886