Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications
ETH Zurich · University of Zurich
Abstract
Part II of the tutorial has summarized the remaining building blocks of the VO pipeline: specifically, how to detect and match salient and repeatable features across frames and robust estimation in the presence of outliers and bundle adjustment. In addition, error propagation, applications, and links to publicly available code are included. VO is a well understood and established part of robotics. VO has reached a maturity that has allowed us to successfully use it for certain classes of applications: space, ground, aerial, and underwater. In the presence of loop closures, VO can be used as a building block for a complete SLAM algorithm to reduce motion drift. Challenges that still remain are to develop and…
Citation impact
- FWCI
- 1113.09
- Percentile
- 100%
- References
- 112
Authors
2Topics & keywords
- Robustness (evolution)
- Computer science
- Artificial intelligence
- Odometry
- Computer vision
- Visual odometry
- Outlier
- Robotics