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WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar
March 20, 2024, 4:45 a.m. | Runwei Guan, Liye Jia, Fengyufan Yang, Shanliang Yao, Erick Purwanto, Xiaohui Zhu, Eng Gee Lim, Jeremy Smith, Ka Lok Man, Yutao Yue
cs.CV updates on arXiv.org arxiv.org
Abstract: The perception of waterways based on human intent holds significant importance for autonomous navigation and operations of Unmanned Surface Vehicles (USVs) in water environments. Inspired by visual grounding, in this paper, we introduce WaterVG, the first visual grounding dataset designed for USV-based waterway perception based on human intention prompts. WaterVG encompasses prompts describing multiple targets, with annotations at the instance level including bounding boxes and masks. Notably, WaterVG includes 11,568 samples with 34,950 referred targets, …
abstract arxiv autonomous cs.cv cs.mm cs.ro dataset environments human importance navigation operations paper perception radar surface text type vehicles vision visual water
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