arrow
Return

Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry

delete2020-02-01
delete44
delete
OA
AI
D
Dingfu Zhou
Y
Yuchao Dai *
H
Hongdong Li
DOI:10.1109/TITS.2019.2900330delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Recovering an 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 and object size. In this paper, first, we summarize different kinds of scale estimation approaches. Then, we propose a robust divide-and-conquer 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 estimation process. Finally, the effectiveness and robustness of the proposed method have been verified on both public and self-collected image sequences.
Keywords:
Cameras
Estimation
Simultaneous localization and mapping
Three-dimensional displays
Sensor systems
Laser radar
Absolute scale estimation
ground plane
scale correction
monocular VO and SLAM
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Intelligent Transportation Systems cover
IEEE Transactions on Intelligent Transportation Systems
IF:
8.4
Papers:
9.5K
Citations:
6.3W

Organization

A
Australian National University
Scholars:
2.1W
Papers: 2.3W
Citations: 3.9W
B
baidu
Scholars:
577
Papers: 470
Citations: 1