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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Junho Yang Soon-Jo Chung Hutchinson, S. Johnson, D. Kise, M. | 
| Copyright Year | 2015 | 
| Description | Author affiliation: Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Soon-Jo Chung; Hutchinson, S.) || Dept. of Mech. Sci. & Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Junho Yang) || Intell. Solution Group, Urbandale, IA, USA (Kise, M.) || Turf & Utility Adv. Dev., Cary, NC, USA (Johnson, D.) | 
| Abstract | In this paper, we present an omnidirectional-vision-based localization and mapping system which can detect whether a robotic mower is contained in a permitted area. We exploit a robot-centric mapping framework that exploits a differential equation of motion of the landmarks, which are referenced with respect to the robot body frame. The estimator in our system generates a 3D point-based map with landmarks. Concurrently, the estimator defines a boundary of the mowing area with the estimated trajectory of the mower. The estimated boundary and the landmark map are provided for the estimation of the mowing location and for the containment detection. We validate the effectiveness of our system through numerical simulations and present the results of the outdoor experiment that we conducted with our robotic mower. | 
| Starting Page | 6344 | 
| Ending Page | 6351 | 
| File Size | 1705661 | 
| Page Count | 8 | 
| File Format | |
| e-ISBN | 9781479969234 | 
| DOI | 10.1109/ICRA.2015.7140090 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2015-05-26 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Estimation Robot kinematics Cameras Robot vision systems Simultaneous localization and mapping | 
| Content Type | Text | 
| Resource Type | Article | 
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