Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry
원문 초록
Recovering the absolute metric scale from a monocular camera is a challenging but highly desirable problem for monocular camera-based systems. By using different kinds of cues, various approaches have been proposed for scale estimation, such as camera height, object size etc. In this paper, firstly, we summarize different kinds of scale estimation approaches. Then, we propose a robust divide and conquer the absolute scale estimation method based on the ground plane and camera height by analyzing the advantages and disadvantages of different approaches. By using the estimated scale, an effective scale correction strategy has been proposed to reduce the scale drift during the Monocular Visual Odometry (VO) estimation process. Finally, the effectiveness and robustness of the proposed method have been verified on both public and self-collected image sequences.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrain
Deep Event Visual Odometry
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry
Deep Patch Visual Odometry
토론
이 논문과 연결된 포럼 글이 아직 없습니다.