Appearance‐based landmark selection for visual localization-Reference-Cited by-同舟云学术

Appearance‐based landmark selection for visual localization

Published:2019-06-18 Issue:6 Volume:36 Page:1041-1073
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J. Field Robotics

Author:

Bürki Mathias¹^ORCID,Cadena Cesar¹,Gilitschenski Igor²,Siegwart Roland¹,Nieto Juan¹

Affiliation:

1. Autonomous Systems LabETH Zürich Zürich Switzerland

2. Computer Science and Artificial Intelligence LabMIT Cambridge Massachusetts

Funder

Bundesbehörden der Schweizerischen Eidgenossenschaft

H2020 European Institute of Innovation and Technology

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.21870

Reference38 articles.

1. An information-theoretic perspective of tf–idf measures

2. Alahi A. Ortiz R. & Vandergheynst P. (2012). Freak: Fast retina keypoint.2012 IEEE Conference on Computer Vision and Pattern Recognition Rhode Island RI pp. 510–517.

3. Bay H. Tuytelaars T. & Van Gool L. (2006). Surf: Speeded up robust features.European Conference on Computer Vision Graz Austria pp. 404–417.

4. Burgard W. Stachniss C. Grisetti G. Steder B. Kümmerle R. Dornhege C. … Tardós J. (2009). A comparison of SLAM algorithms based on a graph of relations. 2009IEEE/RSJ International Conference on Intelligent Robots and Systems St. Louis MO pp. 2089–2095.

5. Bürki M. Dymczyk M. Gilitschenski I. Cadena C. Siegwart R. & Nieto J. (2018). Map management for efficient long‐term visual localization in outdoor environments. 2018 IEEE Intelligent Vehicles Symposium Daejeon South Korea pp. 682–688.

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