TY - GEN
T1 - GoIn - An Accurate 3D InDoor Navigation Framework for Mobile Devices
AU - Landa, Vlad
AU - Ben-Moshe, Boaz
AU - Hacohen, Shlomi
AU - Shvalb, Nir
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/13
Y1 - 2018/11/13
N2 - Performing a building-level positioning using WLAM and cellular information is a well-known methodology which was suggested and implemented by many researches. In this paper we present a general framework for accurate indoor positioning and navigation which improves the expected accuracy to a sub-meter error rate. The main algorithm is based on a modified particle filter which combines RF finger-printing, odometry, visual landmarks and map constrains. The accuracy improvement is achieved by using a low resolution camera to track dominant landmarks such as lights. The use of 'glowing-markers' allows one to accurately map relatively complex indoor buildings with a compact representation. The suggested method [BmS15] was implemented and tested on android based mobile devices. Our tests indicate a robust sub-meter 3D positioning at 10 - 30Hz with a fairly low energy consumption.
AB - Performing a building-level positioning using WLAM and cellular information is a well-known methodology which was suggested and implemented by many researches. In this paper we present a general framework for accurate indoor positioning and navigation which improves the expected accuracy to a sub-meter error rate. The main algorithm is based on a modified particle filter which combines RF finger-printing, odometry, visual landmarks and map constrains. The accuracy improvement is achieved by using a low resolution camera to track dominant landmarks such as lights. The use of 'glowing-markers' allows one to accurately map relatively complex indoor buildings with a compact representation. The suggested method [BmS15] was implemented and tested on android based mobile devices. Our tests indicate a robust sub-meter 3D positioning at 10 - 30Hz with a fairly low energy consumption.
UR - http://www.scopus.com/inward/record.url?scp=85059051330&partnerID=8YFLogxK
U2 - 10.1109/IPIN.2018.8533810
DO - 10.1109/IPIN.2018.8533810
M3 - Conference contribution
AN - SCOPUS:85059051330
T3 - IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
BT - IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
PB - Institute of Electrical and Electronics Engineers
T2 - 9th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2018
Y2 - 24 September 2018 through 27 September 2018
ER -