法線拘束ステレオ視覚オドメトリによる堅牢な路面マッピングシステム
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry
路面構造の退化時に生じる大きなドリフトを抑えるため、法線ベクトルを接平面上でパラメータ化して再投影因子と組み合わせたステレオ視覚オドメトリを提案し、絶対軌道誤差を約20%改善した。
著者: Huaiyang Huang, Rui Fan, Yilong Zhu, Ming Liu, Ioannis Pitas
分類: cs.RO, cs.CV
原文アブストラクト
Pavement condition is crucial for civil infrastructure maintenance. This task usually requires efficient road damage localization, which can be accomplished by the visual odometry system embedded in unmanned aerial vehicles (UAVs). However, the state-of-the-art visual odometry and mapping methods suffer from large drift under the degeneration of the scene structure. To alleviate this issue, we integrate normal constraints into the visual odometry process, which greatly helps to avoid large drift. By parameterizing the normal vector on the tangential plane, the normal factors are coupled with traditional reprojection factors in the pose optimization procedure. The experimental results demonstrate the effectiveness of the proposed system. The overall absolute trajectory error is improved by approximately 20%, which indicates that the estimated trajectory is much more accurate than that obtained using other state-of-the-art methods.
