A stochastic map for uncertain spatial relationships
Proceedings of the 4th international symposium on Robotics Research
Mobile Robot Localization and Map Building: A Multisensor Fusion Approach
Mobile Robot Localization and Map Building: A Multisensor Fusion Approach
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Consistent, convergent, and constant-time SLAM
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Thin junction tree filters for simultaneous localization and mapping
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Journal of Intelligent and Robotic Systems
A stochastically stable solution to the problem of robocentric mapping
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
On the consistency of EKF-SLAM: focusing on the observation models
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
On the bending problem for large scale mapping
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Observability-based Rules for Designing Consistent EKF SLAM Estimators
International Journal of Robotics Research
Impact of Landmark Parametrization on Monocular EKF-SLAM with Points and Lines
International Journal of Computer Vision
A review of path planning and mapping technologies for autonomous mobile robot systems
Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies
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One of the greatest obstacles to the use of Simultaneous Localization And Mapping (SLAM) in a real-world environment is the need to maintain the full correlation structure between the vehicle and all of the landmark estimates. This structure is computationally ...