Rigid body state estimation using dynamic vision and inertial sensors

Proceedings of the IEEE Conference on Decision and Control

Volumn 3, Issue , 2001, Pages 2398-2403

  Rehbinder, Henrik ^a   Ghosh, Bijoy K ^b  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; NONLINEAR SYSTEMS; OBSERVABILITY; PROBLEM SOLVING; SENSORS;

INERTIAL SENSORS; POSITION ESTIMATION;

STATE ESTIMATION;

EID: 0035710828     PISSN: 01912216     EISSN: None     Source Type: Journal    
DOI: 10.1109/CDC.2001.980621     Document Type: Article

References (8)

1. Tracking for fully actuated mechanical systems: A geometric framework
2. Iterative pose computation from linc correspondences
3. Pose estimation using point and line correspondences
4. Visually guided ranging from observations of points, lines and curves via an identifier based nonlinear observer
5. The application of total energy as a Lyapunov function for mechanical control systems
6. Multi-rate fusion of visual and inertial data
7. Motion estimation via dynamic vision
8. Structure from motion using line correspondences