关于无人驾驶船舶发展的调查:情报与合作
1Department of Information and Communication Engineering, Changwon National University, Changwon 51140, Republic of Korea.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
无人驾驶船舶 (UMV) 为海上运营提供了显著的优势,但由于恶劣的环境而面临发展挑战. 人工智能,通信和导航方面的进步对于未来的UMV能力和合作至关重要.
科学领域:
- 机器人技术和自主系统
- 海洋技术 海洋技术
- 人工智能的人工智能
背景情况:
- 载人车辆正在跨领域演变为无人驾驶车辆 (UV),重点是海洋应用.
- 无人驾驶船舶 (UMV),包括UUV和USV,为复杂的海事任务提供了机会,降低了风险和经济效益.
研究的目的:
- 审查过去和当前无人驾驶船用车辆 (UMV) 发展趋势.
- 提供对UMV研究和应用的未来方向的见解.
主要方法:
- 对UMV发展趋势的文献综述.
- 分析UMV的好处,挑战和技术要求.
主要成果:
- 由于具有挑战性的海洋环境,UMV的发展落后于其他UV.
- 进步的关键领域包括通信,网络,导航,声音探索和多车型任务规划.
- 整合人工智能和机器学习对于提高UMV自主性和任务性能至关重要.
结论:
- 持续的技术进步是克服UMV运营挑战的必要条件.
- 人工智能和机器学习的整合将大大提高UMV的能力和合作.
- 未来的UMV开发将专注于增强自主性,智能和协作任务执行.
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