VINS-Fusion is an optimization-based multi-sensor state estimator, which achieves accurate self-localization for autonomous applications (drones, cars, and AR/VR). VINS-Fusion is an extension of VINS-Mono, which
VINS-Fusion is an optimization-based multi-sensor state estimator, which achieves accurate self-localization for autonomous applications (drones, cars, and AR/VR). VINS-Fusion is an extension ofVINS-Mono, which supports multiple visual-inertial sensor types (mono camera + IMU, stereo cameras + IM...
we propose a universal online temporal calibration strategy for optimization-based visual-inertial navigation systems. Technically, we incorporate the time offset t d as a state parameter in the optimization residual model to align the IMU state to the corresponding image timestamp using td, angular ...
Zabat M, Ababou A, Ababou N, Dumas R (2019) IMU-based sensor-to-segment multiple calibration for upper limb joint angle measurement-a proof of concept. Med Biol Eng Comput 57:2449–2460. https://doi.org/10.1007/s11517-019-02033-7 Article PubMed Google Scholar Robert-Lachaine X, Mech...
Therefore, this work extends the FGO to GNSS PPP AR, which will enable the tightly couple model of GNSS PPP AR and Camera/LiDAR/IMU SLAM. Conclusions it would be interesting to compare the PPP AR based on FGO to PPP AR based on Kalman filtering. Therefore, the same 80 stations are ...
AFLI-Calib: Robust LiDAR-IMU extrinsic self-calibration based on adaptive frame length LiDAR odometry 2023, ISPRS Journal of Photogrammetry and Remote Sensing Citation Excerpt : Blaser et al., 2018; Bosse et al., 2012; Chen et al., 2021; Karam et al., 2019; Li and Yang, 2022; Wang et...
In cases where no very-high positioning information (sub-decimeter accuracy) are available, an indirect georeferencing solution, based on GCP or high-resolution aerial images, is normally used. If only standard on-board (navigation) GNSS/IMU modules are available, the positional accuracy is typicall...
Data-classification-prediction-based-on-Grey-Wolf-Optimization-Algorithm-GWO_LSSVM-Adaboostbl**空白 上传208.11 KB 文件格式 zip Data classification prediction based on the Grey Wolf Optimization Algorithm GWO_LSSVM-Adaboost (Mathematical Modeling Competition Code) ...
It uses an optimization-based sliding window formulation for providing high-accuracy visual-inertial odometry. It features efficient IMU pre-integration with bias correction, automatic estimator initialization, online extrinsic calibration, failure detection and recovery, loop detection, and global pose graph...
The ring laser gyro (RLG) is a sophisticated laser-based sensor utilized for measuring rotational rates in launch vehicles. The sensor bias, which affects its performance, indicates the rate of measurement. Comprehensive standard tests are conducted to evaluate the RLGs performance under various condit...