Analytical SLAM without linearization
© 2017, © The Author(s) 2017. This paper solves the classical problem of simultaneous localization and mapping (SLAM) in a fashion that avoids linearized approximations altogether. Based on the creation of virtual synthetic measurements, the algorithm uses a linear time-varying Kalman observer, bypa...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
SAGE Publications
2021
|
| Online Access: | https://hdl.handle.net/1721.1/134851 |