对象目标导航综述:数据集、度量和方法

Dewei Wang, Jiaming Chen, Jiyu Cheng
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引用次数: 0

摘要

对象目标导航(ObjectNav)旨在将智能体引导到未知场景中的指定目标对象。该任务集成了先进的技术,包括视觉感知、语义先验学习和视觉导航,这使其成为嵌入式AI领域中具有挑战性和新兴的任务。在这篇调查论文中,我们对ObjectNav广泛使用的数据集和相应的评估指标进行了全面的回顾。此外,我们还对最近开发的方法进行了深入的回顾和分析。最后,对未来可能的研究方向进行了讨论。
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A Survey of Object Goal Navigation: Datasets, Metrics and Methods
Object Goal Navigation (ObjectNav) aims at directing an agent to a specified target object within an unseen scene. This task integrates advanced techniques, including visual perception, semantic prior learning, and visual navigation, which makes it a challenging and emerging task within the Embodied AI field. In this survey paper, we offer a comprehensive review of widely-used datasets and corresponding evaluation metrics for ObjectNav. Additionally, we provide an in-depth review and analysis of recently developed methods. Finally, we present discussions on potential future research directions.
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