(2011). Optimization based imu camera calibration. In In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), pages 3297-3304.M. Fleps, E. Mair, O. Ruepp, M. Suppa, and D. Burschka, "Optimiza- tion based IMU camera calibration," in Proc. of the ...
To this end, we show how to model the IMU-camera calibration problem in a nonlinear optimization framework by modeling the sensors' trajectory, and we present experiments comparing this approach to filtering and system identification techniques. The results are based both on simulated and real data...
[IEEE 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011) - San Francisco, CA (2011.09.25-2011.09.30)] 2011 IEEE/RSJ Inter... W Ju,L Takayama 被引量: 0发表: 2011年 [IEEE 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)...
which will plot the cross correlation used for finding an initial estimate (https://github.com/ethz-asl/kalibr/blob/master/aslam_offline_calibration/kalibr/python/kalibr_imu_camera_calibration/IccSensors.py#L217
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...
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 supports multiple visual-inertial sensor types (mono camera + IMU, stereo cameras + ...
The existing techniques for IMU-based positioning, camera-based positioning and various existing hybrid methods for indoor positioning are discussed in [16], and a hybrid indoor positioning system that uses IMU sensors and smartphone cameras is proposed, which effectively improves indoor positioning ...
A growing trend consists in leveraging the IMU's physical prior in learning- based inertial navigation, e.g., IMU odometry network [17], data-driven calibration [10, 74], and EKF-based odome- try [40, 55]. To boost future research, PyPose develops an...
5.1 Change to your topic name in the config file. The image should exceed 20Hz and IMU should exceed 100Hz. Both image and IMU should have the accurate time stamp. IMU should contain absolute acceleration values including gravity. 5.2 Camera calibration: ...
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...