LiDAR Bundle Adjustment

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תובנה - LiDAR Bundle Adjustment

점진적 공간 스무딩을 이용한 그래프 최적성 인식 확률적 LiDAR 번들 조정

대규모 LiDAR 번들 조정(LBA)의 정확성, 효율성 및 확장성을 향상시키기 위해 점진적 공간 스무딩(PSS)과 그래프 최적성 인식 확률적 최적화(GOSO)를 결합한 새로운 방법인 PSS-GOSO를 제안합니다.

Graph Optimality-Aware Stochastic LiDAR Bundle Adjustment with Progressive Spatial Smoothing for Robust, Efficient, and Scalable 3D Mapping

PSS-GOSO is a novel LiDAR Bundle Adjustment (LBA) method that leverages spatial smoothing, graph optimization, and stochastic clustering to achieve robust, efficient, and scalable 3D mapping, especially in large-scale, complex environments.

LiDAR Bundle Adjustment with Progressive Spatial Smoothing for Accurate 3D Modeling

Proposing PSS-BA for accurate point cloud construction in complex environments.

LiDAR Bundle Adjustment with Progressive Spatial Smoothing: PSS-BA Study

提案されたPSS-BAは、複雑な環境でのLiDARデータからの正確なポイントクラウド構築を可能にし、高品質な3Dモデリングを実現します。

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