FC-Vision: Real-Time Visibility-Aware Replanning for Occlusion-Free Aerial Target Structure Scanning in Unknown Environments
Chen Feng, Yang Xu, Shaojie Shen

TL;DR
FC-Vision is a real-time framework for aerial target scanning that proactively prevents occlusions, significantly improving coverage and visibility in unknown environments without sacrificing efficiency.
Contribution
It introduces a novel visibility-aware replanning method that explicitly enforces surface-visibility constraints and seamlessly integrates with existing UAV systems.
Findings
Maximum coverage gain of 55.32% achieved
Occlusion ratio reduced by 73.17%
Maintains real-time performance with moderate flight time increase
Abstract
Autonomous aerial scanning of target structures is crucial for practical applications, requiring online adaptation to unknown obstacles during flight. Existing methods largely emphasize collision avoidance and efficiency, but overlook occlusion-induced visibility degradation, severely compromising scanning quality. In this study, we propose FC-Vision, an on-the-fly visibility-aware replanning framework that proactively and safely prevents target occlusions while preserving the intended coverage and efficiency of the original plan. Our approach explicitly enforces dense surface-visibility constraints to regularize replanning behavior in real-time via an efficient two-level decomposition: occlusion-free viewpoint repair that maintains coverage with minimal deviation from the nominal scan intent, followed by segment-wise clean-sensing connection in 5-DoF space. A plug-in integration…
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Taxonomy
TopicsRobotics and Sensor-Based Localization · Robotic Path Planning Algorithms · Advanced Vision and Imaging
