Publications by authors named "D Vivet"

The bearing capacity - the ability of a surface to support applied loads - is an important parameter for understanding and predicting the response of a surface. Previous work has inferred the bearing capacity and trafficability of specific regions of the Moon using orbital imagery and measurements of the boulder tracks visible on its surface. Here, we estimate the bearing capacity of the surface of an asteroid for the first time using DART/DRACO images of suspected boulder tracks on the surface of asteroid (65803) Didymos.

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Article Synopsis
  • Planetary defense research is heavily dependent on understanding the mechanical properties of asteroids, which are challenging to assess from Earth.
  • A study of boulders on the asteroid Dimorphos, using data from the DART mission, revealed an estimated internal friction angle of 32.7 ± 2. 5°, indicating they likely formed from impact processing.
  • The similarities between Dimorphos boulders and those on other rubble-pile asteroids (Itokawa, Ryugu, and Bennu) suggest a shared formation process and enhance our understanding of asteroid characteristics and the implications for planetary defense strategies.
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Urban environments are undergoing significant transformations, with pedestrian areas emerging as complex hubs of diverse mobility modes. This shift demands a more nuanced approach to urban planning and navigation technologies, highlighting the limitations of traditional, road-centric datasets in capturing the detailed dynamics of pedestrian spaces. In response, we introduce the DELTA dataset, designed to improve the analysis and mapping of pedestrian zones, thereby filling the critical need for sidewalk-centric multimodal datasets.

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Existing methods for video instance segmentation (VIS) mostly rely on two strategies: (1) building a sophisticated post-processing to associate frame level segmentation results and (2) modeling a video clip as a 3D spatial-temporal volume with a limit of resolution and length due to memory constraints. In this work, we propose a frame-to-frame method built upon transformers. We use a set of queries, called instance sequence queries (ISQs), to drive the transformer decoder and produce results at each frame.

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