3,060 research outputs found
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild
An accurate and uncertainty-aware 3D human body pose estimation is key to
enabling truly safe but efficient human-robot interactions. Current
uncertainty-aware methods in 3D human pose estimation are limited to predicting
the uncertainty of the body posture, while effectively neglecting the body
shape and root pose. In this work, we present GloPro, which to the best of our
knowledge the first framework to predict an uncertainty distribution of a 3D
body mesh including its shape, pose, and root pose, by efficiently fusing
visual clues with a learned motion model. We demonstrate that it vastly
outperforms state-of-the-art methods in terms of human trajectory accuracy in a
world coordinate system (even in the presence of severe occlusions), yields
consistent uncertainty distributions, and can run in real-time.Comment: IEEE International Conference on Intelligent Robots and Systems
(IROS) 202
BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking
Robust, fast, and accurate human state - 6D pose and posture - estimation
remains a challenging problem. For real-world applications, the ability to
estimate the human state in real-time is highly desirable. In this paper, we
present BodySLAM++, a fast, efficient, and accurate human and camera state
estimation framework relying on visual-inertial data. BodySLAM++ extends an
existing visual-inertial state estimation framework, OKVIS2, to solve the dual
task of estimating camera and human states simultaneously. Our system improves
the accuracy of both human and camera state estimation with respect to baseline
methods by 26% and 12%, respectively, and achieves real-time performance at 15+
frames per second on an Intel i7-model CPU. Experiments were conducted on a
custom dataset containing both ground truth human and camera poses collected
with an indoor motion tracking system.Comment: IROS 2023. Video: https://youtu.be/UcutiHQwbG
Dynamical Masses of Low Mass Stars in the Taurus and Ophiuchus Star Forming Regions
We report new dynamical masses for 5 pre-main sequence (PMS) stars in the
L1495 region of the Taurus star-forming region (SFR) and 6 in the L1688 region
of the Ophiuchus SFR. Since these regions have VLBA parallaxes these are
absolute measurements of the stars' masses and are independent of their
effective temperatures and luminosities. Seven of the stars have masses
solar masses, thus providing data in a mass range with little data, and of
these, 6 are measured to precision . We find 8 stars with masses in the
range 0.09 to 1.1 solar mass that agree well with the current generation of PMS
evolutionary models. The ages of the stars we measured in the Taurus SFR are in
the range 1-3 MY, and MY for those in L1688. We also measured the
dynamical masses of 14 stars in the ALMA archival data for Akeson~\&~Jensen's
Cycle 0 project on binaries in the Taurus SFR. We find that the masses of 7 of
the targets are so large that they cannot be reconciled with reported values of
their luminosity and effective temperature. We suggest that these targets are
themselves binaries or triples.Comment: 20 page
Mass Transfer through Vapor-Liquid Interfaces Studied by Non-Stationary Molecular Dynamics Simulations
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