TY - GEN
T1 - Indoor trajectory identification
T2 - IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015
AU - Wang, Richard
AU - Shroff, Ravi
AU - Zha, Yilong
AU - Seshan, Srinivasan
AU - Veloso, Manuela
PY - 2015/12/11
Y1 - 2015/12/11
N2 - We consider the problem of indoor human trajectory identification using odometry data from smartphone sensors. Given a segmented trajectory, a simplified map of the environment, and a set of error thresholds, we implement a map-matching algorithm in a urban setting and analyze the accuracy of the resulting path. We also discuss aggregation of user step data into a segmented trajectory. Besides providing an interesting application of learning human motion in a constrained environment, we examine how the uncertainty of the snapped trajectory varies with path length. We demonstrate that as new segments are added to a path, the number of possibilities for earlier segments is monotonically non-increasing. Applications of this work in an urban setting are discussed, as well as future plans to develop a formal theory of odometry-based map-matching.
AB - We consider the problem of indoor human trajectory identification using odometry data from smartphone sensors. Given a segmented trajectory, a simplified map of the environment, and a set of error thresholds, we implement a map-matching algorithm in a urban setting and analyze the accuracy of the resulting path. We also discuss aggregation of user step data into a segmented trajectory. Besides providing an interesting application of learning human motion in a constrained environment, we examine how the uncertainty of the snapped trajectory varies with path length. We demonstrate that as new segments are added to a path, the number of possibilities for earlier segments is monotonically non-increasing. Applications of this work in an urban setting are discussed, as well as future plans to develop a formal theory of odometry-based map-matching.
UR - http://www.scopus.com/inward/record.url?scp=84958149637&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958149637&partnerID=8YFLogxK
U2 - 10.1109/IROS.2015.7354066
DO - 10.1109/IROS.2015.7354066
M3 - Conference contribution
AN - SCOPUS:84958149637
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 4901
EP - 4906
BT - IROS Hamburg 2015 - Conference Digest
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 September 2015 through 2 October 2015
ER -