Sign inGet started
Dataset · Hugging Face

ChipYTY/DynamicCatch

DynamicCatch Air–ground cooperative search for a moving target. A UAV and a UGV must find one specific car that is moving, given only reference views of it, among 2–3 moving look-alike distractors. The UAV searches from 80 m and nominates a candidate; the UGV must meet the car on the road network (≤ 50 m, line of sight) and confirm it with its own cameras. Because the target keeps driving, a location handed from air to ground goes stale — the benchmark is built to measure… See the full description on the dataset page: https://huggingface.co/datasets/ChipYTY/DynamicCatch.

Author / organizationChipYTY
License (as declared)cc-by-4.0
Downloads0 (as reported by Hugging Face)
Likes0
Created16 October 2026
Last updated at source16 October 2026
embodied-aiair-ground-cooperationuavugvmoving-targetobject-searchvision-language-modelscarlabenchmark
Embed this entry
<iframe src="https://silytics.si/embed/item/0cb2da4d-14d7-4e51-ac10-aabd3a109d53" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 License: none → cc-by-4.0
  • 16 Oct 2026 Description: none → DynamicCatch Air–ground cooperative search for a moving target. A UAV and a UGV must find one specific car that is moving, given only reference views of it, among 2–3 moving look-alike distractors. The UAV searches from 80 m and nominates a
  • 16 Oct 2026 Topics added embodied-ai, air-ground-cooperation, uav, ugv, moving-target, object-search, vision-language-models, carla, benchmark

Changes detected by Silytics between refreshes of the source.

More from ChipYTY

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.