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Cai Luo

6 accepted papers

2026

Entropy-Based Incremental Coverage Path Planning for Multi-UAV Persistent Monitoring

RA-L 2026

Oil spills continuously affect marine ecosystems and require rapid monitoring for effective emergency response. This letter tackles the problem of persistent monitoring for continuously changing and scattered oil spill regions through Entropy Based Incremental Coverage Path Planning (EICPP). By usin

Cited by 0SourceScholar
2026

Entropy-Based Incremental Coverage Path Planning for Multi-UAV Persistent Monitoring

ICRA 2026poster

Oil spills continuously affect marine ecosystems and require rapid monitoring for effective emergency response. This letter tackles the problem of persistent monitoring for continuously changing and scattered oil spill regions through Entropy-Based Incremental Coverage Path Planning (EICPP). By usin…

Cited by 0SourceScholar
2026

Real-Time Path-Reconfigurable Coverage Planning for Multi-UAV Missions Over Disjoint Areas

RA-L 2026

Multi-UAV cooperative coverage missions across geographically separated regions face significant challenges due to potential UAV failures during mission execution. To address the challenges of efficient multi-region coverage and dynamic failure handling, this paper presents a novel real-time path-re

Cited by 0SourceScholar
2026

Real-Time Path-Reconfigurable Coverage Planning for Multi-UAV Missions Over Disjoint Areas

ICRA 2026poster

跨越地理分离的多无人机协作覆盖任务 各地区因潜在无人机故障面临重大挑战 在执行任务时。解决效率挑战 本文介绍了多区域覆盖与动态失效处理 一种新型实时路径可重构覆盖规划算法 跨越地理区域的多无人机覆盖路径规划 具备实时路径重配置功能。拟议 方法,GRIT-M(贪婪修复初始化多重的禁忌搜索) 扩展了GRIT算法,以高效处理初始 无人机在任务中故障时的规划和在线路径修复 执行。与现有方法不同,这些方法要么只专注于单一区域 无论覆盖率或缺失,GRIT-M都包含了故障处理机制 通过三项关键创新实现区域特定知识:(1) a 优化区域间的复合过渡成本函数 运动,(2ᦀ

Cited by 0SourceScholar
2024

TransCODNet: Underwater Transparently Camouflaged Object Detection via RGB and Event Frames Collaboration

RA-L 2024

Underwater transparently camouflaged organisms can be perfectly “invisible” in the ocean to avoid the capture of predators. Due to the blurry contour boundaries of their bodies, obtaining their boundary features and determining their specific positions are challenging for detection tasks. To address

Cited by 14SourceScholar