Loading...
Please wait, while we are loading the content...
Similar Documents
Title Two Stage Kalman Filtering for Position Estimation UsingDual Inertial Measurement Units
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yadav, Nagesh Bleakley, Chris J. |
| Copyright Year | 2017 |
| Abstract | Herein a two stage Kalman filter based algorithm is proposed for processing of Inertial Measurement Unit (IMU) data to obtain accurate position estimation over a short period of time. The proposed algorithm uses a novel sensor placement strategy on rigid body. An Extended Kalman filter algorithm incorporates these placement constraints to achieve accurate position estimation. The results show 30% improvement in position estimation as compared to a conventional Dead Reckoning(DR) approach. To the best of the authors' knowledge, the proposed technique is the first which employs spatially separated dual IMUs on a single rigid body for position estimation. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://researchrepository.ucd.ie/bitstream/10197/3862/1/yadav_bleakley_2011.pdf |
| Alternate Webpage(s) | http://researchrepository.ucd.ie/bitstream/handle/10197/3862/yadav_bleakley_2011.pdf;jsessionid=8D752E06C13E85F0A536BAD002E07048?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
