多解像度ボクセル地図を用いたステレオ視覚慣性オドメトリ
Multi-Resolution Voxelized Map-Based Stereo Visual-Inertial Odometry
事前地図を多解像度ボクセル化し、円錐状のインデックス戦略で2D特徴と3D地図点を関連付けることで、データ転送量と計算負荷を抑えつつ高精度な位置推定を実現するVIOシステムを提案した。
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著者: Shuyi Pan, Hangtian Wang, Zhaoxing Zhang, Chengliang Zhang, Zikang Yuan, Xin Yang
分類: cs.RO
原文アブストラクト
Incorporating prior maps significantly enhances the accuracy and robustness of pose estimation in visual-inertial odometry (VIO). However, the large data volume of such maps, combined with limited transmission bandwidth, makes it impractical to continuously load local maps onto an edge device. In this paper, we propose a multi-resolution prior map construction method and a corresponding map-based VIO system. The prior map is voxelized at multiple resolutions, with each voxel retaining only a single map point. During online VIO operation, a cone-shaped indexing strategy associates 2D features on the edge device with 3D map points. The cone's intercept is determined by the distance from the current position to the 3D points, enabling the selection of the appropriate resolution level and the retrieval of the unique map point within the corresponding voxel via a 3D digital differential analyzer (DDA) algorithm. This approach minimizes both the volume of data required for transmission and the computational load during data association. Extensive experiments on two public datasets demonstrate that our system achieves accurate pose estimation while requiring minimal data transmission.
