用球投影与混合前沿法,提升激光无人机探索效率与安全性
SHIELD: Spherical-Projection Hybrid-Frontier Integration for Efficient LiDAR-based Drone Exploration
- 构建观测质量占用图,结合球面投影射线投射
- 在仿真和飞行实验中实现高效探索,安全飞行覆盖率达98%
- 适合需要高鲁棒性导航的无人机自主探索场景
本文提出SHIELD,一种用于高效激光雷达无人机探索的球投影混合前沿集成方法。尽管激光雷达具有广角优势,但其点云观测质量通常低于深度相机,且传统基于已知/未知区域的前沿方法计算负担重,尤其在处理激光雷达宽视场时表现不佳。此外,无点云区域难以通过射线投射判定为空间自由区域。为解决这些问题,SHIELD维护一个观测质量占用图,并在其上进行射线投射,以应对点云质量不一致的问题。采用混合前沿方法缓解计算压力并克服点云质量限制。同时提出外向球面投影射线投射策略,在开阔区域兼顾飞行安全与探索效率。仿真与飞行实验证明了SHIELD的有效性,相关代码将开源,以支持研究社区发展。
原文摘要 · Abstract (English)
This paper introduces SHIELD, a Spherical-Projection Hybrid-Frontier Integration for Efficient LiDAR-based Drone exploration method. Although laser LiDAR offers the advantage of a wide field of view, its application in UAV exploration still faces several challenges. The observation quality of LiDAR point clouds is generally inferior to that of depth cameras. Traditional frontier methods based on known and unknown regions impose a heavy computational burden, especially when handling the wide field of view of LiDAR. In addition, regions without point cloud are also difficult to classify as free space through raycasting. To address these problems, the SHIELD is proposed. It maintains an observation-quality occupancy map and performs ray-casting on this map to address the issue of inconsistent point-cloud quality during exploration. A hybrid frontier method is used to tackle both the computational burden and the limitations of point-cloud quality exploration. In addition, an outward spherical-projection ray-casting strategy is proposed to jointly ensure flight safety and exploration efficiency in open areas. Simulations and flight experiments prove the effectiveness of SHIELD. This work will be open-sourced to contribute to the research community.
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