Solgenia测试船推动高效自动驾驶水上出租车技术落地
Solgenia -- A Test Vessel Toward Energy-Efficient Autonomous Water Taxi Applications
- 构建真实水域实验平台，验证多领域自主系统集成方案
- 集成非线性模型预测控制与多目标跟踪技术，提升航行安全性
- 适合研究自动驾驶船舶与智能交通系统的开发者参考
自动驾驶水面航行器是未来交通体系的重要组成部分，正受到全球研究团队广泛关注。本文系统介绍自主研究船Solgenia，涵盖其在自主系统、数值优化、非线性模型预测控制、多扩展目标跟踪、计算机视觉及避碰等领域的最新研究成果。这些技术被视为自动驾驶水上出租车的核心能力。水上出租车有望显著提升近水城市的交通效率、可持续性与灵活性。通过在真实水域中测试新方法，Solgenia为探索前沿技术提供了可靠平台，可大幅降低未来实际场景实验的研发成本与难度。
原文摘要 · Abstract (English)
Autonomous surface vessels are a promising building block of the future's transport sector and are investigated by research groups worldwide. This paper presents a comprehensive and systematic overview of the autonomous research vessel Solgenia including the latest investigations and recently presented methods that contributed to the fields of autonomous systems, applied numerical optimization, nonlinear model predictive control, multi-extended-object-tracking, computer vision, and collision avoidance. These are considered to be the main components of autonomous water taxi applications. Autonomous water taxis have the potential to transform the traffic in cities close to the water into a more efficient, sustainable, and flexible future state. Regarding this transformation, the test platform Solgenia offers an opportunity to gain new insights by investigating novel methods in real-world experiments. An established test platform will strongly reduce the effort required for real-world experiments in the future.
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