Results 11 to 20 of about 192,375 (290)
A Single Ejection Model of the DART/Dimorphos Debris Trail
The Astrophysical Journal Letters, 2023 The collision of the NASA DART spacecraft with asteroid Dimorphos resulted in the formation of a distinctive and long-lived debris trail, formed by the action of solar radiation pressure on ejected particles.
Yoonyoung Kim, David Jewitt
doaj +1 more source
Preatmospheric Detection of a Meter-sized Earth Impactor
The Planetary Science Journal, 2023 On 2020 September 18 U.S. Government (USG) sensors detected a bolide with peak bolometric magnitude of −19 over the Western Pacific. The impact was also detected by the Geostationary Lightning Mapper instrument on the GOES-17 satellite and infrasound ...
David L. Clark +5 more
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Radar observability of near-Earth objects using EISCAT 3D [PDF]
Annales Geophysicae, 2020 Radar observations can be used to obtain accurate orbital elements for near-Earth objects (NEOs) as a result of the very accurate range and range rate measureables.
D. Kastinen +5 more
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The Planetary Science Journal, 2023 Near-Earth asteroids (NEAs) are a key test bed for investigations into planet formation, asteroid dynamics, and planetary defense initiatives. These studies rely on understanding NEA sizes, albedo distributions, and regolith properties.
Samuel A. Myers +6 more
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Detecting out-of-context objects using contextual cues [PDF]
IJCAI-ECAI 2022, 2022 This paper presents an approach to detect out-of-context (OOC) objects in an image. Given an image with a set of objects, our goal is to determine if an object is inconsistent with the scene context and detect the OOC object with a bounding box. In this work, we consider commonly explored contextual relations such as co-occurrence relations, the ...
arxiv
PROB: Probabilistic Objectness for Open World Object Detection [PDF]
arXiv, 2022 Open World Object Detection (OWOD) is a new and challenging computer vision task that bridges the gap between classic object detection (OD) benchmarks and object detection in the real world. In addition to detecting and classifying seen/labeled objects, OWOD algorithms are expected to detect novel/unknown objects - which can be classified and ...
arxiv
Construction of Latent Descriptor Space and Inference Model of Hand-Object Interactions [PDF]
IEICE Trans. on Info. and Sys., Vol.E100-D, No.6, pp.1350-1359,
2017, 2017 Appearance-based generic object recognition is a challenging problem because all possible appearances of objects cannot be registered, especially as new objects are produced every day. Function of objects, however, has a comparatively small number of prototypes.
arxiv +1 more source
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning [PDF]
arXiv, 2021 Contrary to the vast literature in modeling, perceiving, and understanding agent-object (e.g., human-object, hand-object, robot-object) interaction in computer vision and robotics, very few past works have studied the task of object-object interaction, which also plays an important role in robotic manipulation and planning tasks.
arxiv
The Near-Earth Object Surveyor Mission
The Planetary Science Journal, 2023 The Near-Earth Object (NEO) Surveyor mission is a NASA Observatory designed to discover and characterize asteroids and comets. The mission’s primary objective is to find the majority of objects large enough to cause severe regional impact damage (>140 m ...
A. K. Mainzer +36 more
doaj +1 more source
The Space Complexity of Consensus from Swap [PDF]
arXiv, 2023 Nearly thirty years ago, it was shown that $\Omega(\sqrt{n})$ registers are needed to solve obstruction-free consensus among $n$ processes. This lower bound was improved to $n$ registers in 2018, which exactly matches the best upper bound. The $\Omega(\sqrt{n})$ space complexity lower bound actually applies to a class of objects called historyless ...
arxiv