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.
Monocular Simultaneous Localization and Mapping (SLAM) is a crucial problem for the computer vision community. This paper deals with the solution of the SLAM problem using mobile devices that have both monocular camera and sensors: accelerometer, gyroscope and digital compass. The aim of the research is to assess the potential suitability and efficiency of using extra information from inertial sensors and compass to improve the solution quality and to reduce the time to obtain the solution.
V. V. Myasnikov
"Impact of mobile device sensors errors on SLAM problem solution", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332G (31 January 2020); https://doi.org/10.1117/12.2556533
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.
The alert did not successfully save. Please try again later.
V. V. Myasnikov, "Impact of mobile device sensors errors on SLAM problem solution," Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332G (31 January 2020); https://doi.org/10.1117/12.2556533