English(EN) AquaBEV: Monocular Underwater BEV Occupancy with 3D Sonar Supervision

新的AquaBEV模型使用RGB和声纳数据预测水下占用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员开发了AquaBEV，一个用于从单个RGB图像预测水下占用的新模型。该模型在训练过程中利用三维声纳数据进行监督，将视觉特征映射到极坐标表示，然后将其重建为笛卡尔鸟瞰图（BEV）。AquaBEV在受控水下占用基准测试中表现出改进的性能，相对于现有方法取得了相对提升。 AI

影响这项研究可以通过增强水下自主机器人的空间感知能力来改善其导航能力。

排序理由该集群描述了一篇关于特定计算机视觉任务的新颖模型细节的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Trung Tien Dong, Shengji Jin, Chen Chen, Yi Sheng, Xiaomin Lin · 2026-09-07 04:00

AquaBEV：单目水下BEV占用与3D声纳监督

arXiv:2609.04411v1 Announce Type: cross Abstract: Autonomous underwater robots are widely used for exploration, monitoring, and inspection, where safe navigation depends on understanding the surrounding free and occupied space. Bird's eye view (BEV) occupancy provides such a repr…