Position and attitude dermination for UAV-based GPS, IMU and at without GCPs

Joong Hee Han, Jay Hyoun Kwon, Impyeong Lee, Kyoungah Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Real-time Aerial Monitoring System performs the rapid mapping in an emergency situation so that the geoinformation could be constructed in near real time. In this system, the position/attitude information from GPS/IMU is used to perform the aerial triangulation (AT) without GCPs. The problem here is that the exterior orientation from AT highly depend on the performance of IMU. In this case, we could update the positions and attitudes of GPS/INS integration with the solution from AT in regular intervals. We simulate the GPS/IMU/Image data for an UAV-based aerial monitoring system and compare the result of GPS/INS/AT with and without EO updates from AT. Comparative analysis showed that the result from the GPS/INS/AT with EO update is more accurate than without the update. When vehicle turns, however, the position error significantly increases in the rotational direction which needs more analysis in the future.

Original languageEnglish
Title of host publication2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011
DOIs
StatePublished - 2011
Event2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011 - Xiamen, China
Duration: 10 Jan 201112 Jan 2011

Publication series

Name2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011

Conference

Conference2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011
Country/TerritoryChina
CityXiamen
Period10/01/1112/01/11

Keywords

  • Aerial triangulation
  • EKF(extended kalma filter)
  • GPS/IMU
  • GPS/INS integrationt
  • Georeferencing
  • Real-time aerial monitoring system
  • UAV

Fingerprint

Dive into the research topics of 'Position and attitude dermination for UAV-based GPS, IMU and at without GCPs'. Together they form a unique fingerprint.

Cite this