지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
The 3D position of pedestrians is a physical quantity used in various fields, such as automotive navigation and augmented reality. An inertial navigation system (INS) based pedestrian dead reckoning (PDR), hereafter INS-PDR, estimates the relative position of pedestrians using an inertial measurement unit (IMU). Since an INS-PDR integrates the accelerometer signal twice, cumulative errors occur and cause a rapid increase in drifts. Various correction methods have been proposed to reduce drifts. For example, one of the most commonly applied correction method is the zero velocity update (ZUPT). This study investigated the characteristics of the existing INS-PDR methods based on shoe-mounted IMU and compared the estimation performances under various conditions. Four methods were chosen: (i) altitude correction (AC); (ii) step length correction (SLC); (iii) advanced heuristic drift elimination (AHDE); and (iv) magnetometer-based heading correction (MHC). Experimental results reveal that each of the correction methods shows condition-sensitive performance, that is, each method performs better under the test conditions for which the method was developed than it does under other conditions. Nevertheless, AC and AHDE performed better than the SLC and MHC overall. The AC and AHDE methods were complementary to each other, and a combination of the two methods yields better estimation performance
목차
등록된 정보가 없습니다.
참고문헌 (27)
참고문헌 신청
E. Foxlin / 2005 / Pedestrian tracking with shoe-mounted inertial sensors / IEEE Comput. Graph. Appl. 25(46):38~49
R. Bajaj / 2002 / GPS : location-tracking technology / Computer 35(4):92~94
S. Godha / 2006 / Integrated GPS/INS system for pedestrian navigation in a signal degraded environment / Proc. ION GNSS :2151~2164
Q. Wang / 2013 / Electromyography-based locomotion pattern recognition and personal positioning toward improved context-awareness applications / IEEE Trans. Syst. Man Cybern. Syst. 43(5):1216~1227
A. Brajdic / 2013 / Walk detection and step counting on unconstrained smartphones / Proc. 2013 ACM Int. Jt. Conf. on Pervasive Ubiquitous Comput. :225~234
R. Bajaj / 2002 / GPS : location-tracking technology / Computer 35(4):92~94
S. Godha / 2006 / Integrated GPS/INS system for pedestrian navigation in a signal degraded environment / Proc. ION GNSS :2151~2164
Q. Wang / 2013 / Electromyography-based locomotion pattern recognition and personal positioning toward improved context-awareness applications / IEEE Trans. Syst. Man Cybern. Syst. 43(5):1216~1227
A. Brajdic / 2013 / Walk detection and step counting on unconstrained smartphones / Proc. 2013 ACM Int. Jt. Conf. on Pervasive Ubiquitous Comput. :225~234
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