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The first-order deterministic and Brownian motion models do not fit the CGM data.
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We have tried different propagation functions (e.g., constant velocity motion model and acceleration motion model), but our experimental results have revealed that constant velocity motion model and acceleration motion model do not give a significant improvement.
The reader might ask why the use of the motion model did not improve the estimator performance noticeably in this one example.
The use of our maps-based motion model did not improve the estimation error noticeably because of the very accurate odometry estimates and the wall restrictions inside the building.
Strong ground motion simulations using point-source models do not seem appropriate for such earthquakes.
You can make motion data by making your models do movements.
An automated approach for robust evaluation of motion models that does not require manual intervention is highly desirable to enable analysis of datasets from high-throughput imaging technologies that contain hundreds or thousands of trajectories of biological particles, such as membrane receptors, vesicles, chromosomes or kinetochores, mRNA particles, or whole cells in developing embryos.
An optimal pedestrian motion model should do more than only incorporating maps and floor-plans.
(Most models do, however).
Models did talk shows.
Recognizing that the rotator cuff and the glenohumeral ligaments (joint capsule) provide passive stability to the joint at the end range of motion, our cadaveric model does not actively load the joint.
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