학술논문

Improvements in visual odometry algorithm for planetary exploration rovers
Document Type
Conference
Source
2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA) Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), 2013 International Conference on. :1-6 Oct, 2013
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Cameras
Visualization
Estimation
Wheels
Feature extraction
Three-dimensional displays
Computational modeling
Visual Odometry
Feature matching
Triangulation
Error modeling
Language
Abstract
Localization is a key aspect of planetary exploration rovers. Visual odometry algorithm can give improved motion estimates compared to conventional systems (Wheel encoders/Inertial measurement units) when traveling in Steep/Sandy terrains. This paper gives the details of a Visual odometry algorithm developed for future planetary exploration rovers. A new algorithm to improve the feature matching and a computationally efficient method to compute the Jacobian used to model the triangulation errors are given here. The test results indicate good accuracy in estimation for the translational movement.