Chapter 1 A Sliding Window Filter for Incremental SLAMSibley, GabeMatthies, LarrySukhatme, Gaurav
a sliding window filter for incremental slam; topological and metric robot localization through computer vision techniques; more vision for slam; maps, objects... V Kyrki - Springer US 被引量: 18发表: 2008年 Improving the Consistency of Nonlinear Estimators: Analysis, Algorithms, and Applications ...
the system first converts it into overlapping clips using a sliding window mechanism. Unlike traditional pose optimization-based methods, SLAM3R directly regresses 3D pointmaps from RGB images in each window and progressively aligns and deforms these local pointmaps to create a globally consistent sc...
To enhance the real-time performance and reduce CPU usage in feature-based visual SLAM, this paper introduces a lightweight tightly coupled stereo-inertial
This is YGZ-stereo-inertial SLAM, a stereo inertial VO code. It is designed for stereo and stereo-inertial sensor modules like vi-sensor. It uses a LK optical flow as front-end and a sliding window bundle adjustment as a backend. Feel free to try it in datasets and your own sensors. ...
This research aims to comprehensively analyze the most essential uses of artificial intelligence in Aerospace Engineering. We obtained papers initially pub
Servant et al., “Improving Monocular Plane-based SLAM with Inertial Measurements,” 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct. 18-22, 2010, pp. 3810-3815. Sibley et al., “Sliding Window Filter with Application to Planetary Landing,” Journal of Field Robo...
2.1. Simultaneous Localization And Mapping SLAM techniques build a map of an unknown environ- ment and localize the sensor in the map with a strong focus on real-time operation. Early SLAM are mostly based on extended kalman filter (EKF) [12]. The 6 DOF motion pa- rameters and 3D land...
While most visual SLAM systems traditionally prioritize accuracy or speed, the associated memory consumption would also become a concern for robots working in large‐scale environments, primarily due to the perpetual preservation of increasing number of redundant map points. Although these redundant map ...
Strasdat, H., Montiel, J.M.M., Davison, A.J.: Real-time monocular SLAM: why filter? In: Proceedings of IEEE International Conference on Robotics and Automation (ICRA) (2010). https://doi.org/10.1109/TPAMI.2007.1049 Tertei, D.T., Piat, J., Devy, M.: FPGA design and implementatio...