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New benchmark ActiveFly-Bench evaluates UAV embodied perception

Researchers have introduced ActiveFly-Bench, a novel benchmark designed to evaluate embodied perception in Unmanned Aerial Vehicles (UAVs). This benchmark focuses on connecting aerial embodied question answering, behavior planning, and fine-grained UAV control. It includes datasets from real-world and simulated environments and introduces ActiveFly, a UAV agent capable of integrating visual-language reasoning with precise control, which has been tested on a physical UAV platform. Current UAV agents show limitations in behavior planning and task completion within active perception scenarios, highlighting the need for further development in this area. AI

IMPACT Establishes a new testbed for aerial embodied intelligence, pushing the boundaries of UAV perception and control.

RANK_REASON The item describes a new benchmark and associated agent for embodied perception in UAVs, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark ActiveFly-Bench evaluates UAV embodied perception

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Weichen Zhang, Shiquan Yu, Yinan Zhu, Peizhi Tang, Shilong Ji, Zhiyuan Deng, Tianyi Lyu, Haoyang Wang, Xin Zeng, Chen Gao, Yong Li, Xinlei Chen ·

    ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception

    arXiv:2607.10180v1 Announce Type: cross Abstract: We introduce ActiveFly-Bench, the first benchmark to bridge cyberspace reasoning and physical-world interaction for UAV embodied perception. The benchmark decomposes active perception into three hierarchical tasks: Aerial Embodied…