WaveShot: A Compact Portable Unmanned Surface Vessel for Dynamic Water Surface Videography and Media Production
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Abstract (arXiv)
This paper presents WaveShot, an innovative portable unmanned surface vessel that aims to transform water surface videography by offering a highly maneuverable, cost-effective, and safe alternative to traditional filming methods. WaveShot is designed for the modern demands of film production, advertising, documentaries, and visual arts, equipped with professional-grade waterproof cameras and advanced technology to capture static and dynamic scenes on waterways. We discuss the development and advantages of WaveShot, highlighting its portability, ease of transport, and rapid deployment capabilities. Experimental validation showcasing WaveShot's stability and high-quality video capture in various water conditions, and the integration of monocular depth estimation algorithms to enhance the operator's spatial perception. The paper concludes by exploring WaveShot's real-world applications, its user-friendly remote operation, and future enhancements such as gimbal integration and advanced computer vision for optimized videography on water surfaces.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 19 references that are in the map. First posted on arXiv 12 Mar 2024.
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7 of 19 references.
References · 7
- 2019Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfercited by 1,495
- 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,360
- 2014Depth Map Prediction from a Single Image using a Multi-Scale Deep Networkcited by 1,274
- 2016Unsupervised Monocular Depth Estimation with Left-Right Consistencycited by 820
- 2017Unsupervised Learning of Depth and Ego-Motion from Videocited by 782
- 2016Deeper Depth Prediction with Fully Convolutional Residual Networkscited by 403
- 2016Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescuecited by 368
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