ENHANCEMENT STRATEGIES FOR FRAME-TO-FRAME UAS STEREO VISUAL ODOMETRY
Autonomous navigation of indoor unmanned aircraft systems (UAS) requires accurate pose estimations usually obtained from indirect measurements. Navigation based on inertial measurement units (IMU) is known to be affected by high drift rates. The incorporation of cameras provides complementary inform...
Main Authors: | J. Kersten, V. Rodehorst |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/511/2016/isprs-archives-XLI-B3-511-2016.pdf |
Similar Items
-
Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method
by: Sangwon Hwang, et al.
Published: (2022-01-01) -
Robust Visual Odometry Leveraging Mixture of Manhattan Frames in Indoor Environments
by: Huayu Yuan, et al.
Published: (2022-11-01) -
A Visual Odometry Pipeline for Real-Time UAS Geopositioning
by: Jianli Wei, et al.
Published: (2023-09-01) -
Measurement Error Detection for Stereo Visual Odometry Integrity
by: Yuanwen Fu, et al.
Published: (2022-11-01) -
ESVIO: Event-Based Stereo Visual-Inertial Odometry
by: Zhe Liu, et al.
Published: (2023-02-01)