Online location recognition for drift-free trajectory estimation and efficient autonomous navigation

Deepak Khosla; Jiejun Xu; Kyungnam Kim; Yang Chen

doi:10.1117/12.2262959

5 May 2017 Online location recognition for drift-free trajectory estimation and efficient autonomous navigation

Deepak Khosla, Jiejun Xu, Kyungnam Kim, Yang Chen

Proceedings Volume 10195, Unmanned Systems Technology XIX; 1019509 (2017) https://doi.org/10.1117/12.2262959
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Autonomous navigation is a desired capability for mobile robotic platforms, such as UAVs and UGVs. Efficient autonomous navigation, especially in unknown environments, requires accurate localization based on online location recognition. Traditional monocular camera-based location recognition methods can suffer from accuracy, speed and robustness issues. In this paper, a novel online location recognition (OLR) algorithm based on fast and efficient interestpoint detection and feature-based keypoint matching is presented. The OLR incrementally constructs a database of visited locations and robustly recognizes revisited locations, even in complex and cluttered scenes. The OLR capability is quantitatively evaluated using a mobile robot setup in a multi-room office building environment. We further present and validate two applications based on the proposed OLR algorithm. In the first application, the OLR algorithm is integrated with conventional SLAM and an efficient trajectory correction algorithm for drift-free trajectory estimation (DTE) and qualitatively evaluated in the same environment. In the second application, the OLR algorithm is integrated with an exploration strategy for efficient autonomous navigation (EAN) and evaluated using a UAV model in a simulated warehouse environment. Our experiments demonstrate the accuracy and efficiency of the proposed location recognition algorithm and its utility for drift-free trajectory estimation and efficient autonomous navigation.

Citation Download Citation

Deepak Khosla, Jiejun Xu, Kyungnam Kim, and Yang Chen "Online location recognition for drift-free trajectory estimation and efficient autonomous navigation", Proc. SPIE 10195, Unmanned Systems Technology XIX, 1019509 (5 May 2017); https://doi.org/10.1117/12.2262959

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available