Multi-level 3D-tracking of objects integrating velocity estimation based on optical flow and kalman-filtering

2005 ◽  
pp. 212-221 ◽  
Author(s):  
M. Tonko ◽  
K. Schäfer ◽  
V. Gengenbach ◽  
H.-H. Nagel
Keyword(s):  
Optical Flow ◽  
Kalman Filtering ◽  
Velocity Estimation ◽  
3D Tracking ◽  
Multi Level

scholarly journals Satellite Angular Velocity Estimation Based on Star Images and Optical Flow Techniques

Sensors ◽  
2013 ◽  
Vol 13 (10) ◽  
pp. 12771-12793 ◽  
Author(s):  
Giancarmine Fasano ◽  
Giancarlo Rufino ◽  
Domenico Accardo ◽  
Michele Grassi
Keyword(s):  
Angular Velocity ◽  
Optical Flow ◽  
Velocity Estimation ◽  
Angular Velocity Estimation ◽  
Star Images ◽  
Flow Techniques

scholarly journals Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone

2017 ◽  
Vol 2 (2) ◽  
pp. 1070-1076 ◽  
Author(s):  
Kimberly McGuire ◽  
Guido de Croon ◽  
Christophe De Wagter ◽  
Karl Tuyls ◽  
Hilbert Kappen
Keyword(s):  
Optical Flow ◽  
Obstacle Avoidance ◽  
Stereo Vision ◽  
Velocity Estimation

Optical Flow-Based Monocular Vision/INS Integrated Navigation for Mobile Robot Indoors

2014 ◽  
Vol 538 ◽  
pp. 375-378 ◽  
Author(s):  
Xi Yuan Chen ◽  
Jing Peng Gao ◽  
Yuan Xu ◽  
Qing Hua Li
Keyword(s):  
Mobile Robot ◽  
Optical Flow ◽  
Global Positioning System ◽  
Autonomous Navigation ◽  
Image Sequences ◽  
Velocity Estimation ◽  
Monocular Vision ◽  
Integrated Navigation ◽  
Global Positioning ◽  
Flow Algorithm

This paper proposed a new algorithm for optical flow-based monocular vision (MV)/ inertial navigation system (INS) integrated navigation. In this mode, a downward-looking camera is used to get the image sequences, which is used to estimate the velocity of the mobile robot by using optical flow algorithm. INS is employed for the yaw variation. In order to evaluate the performance of the proposed method, a real indoor test has done. The result shows that the proposed method has good performance for velocity estimation. It can be applied to the autonomous navigation of mobile robots when the Global Positioning System (GPS) and code wheel is unavailable.

scholarly journals Real-time velocity estimation based on optical flow and disparity matching

2012 ◽  
Author(s):  
Dominik Honegger ◽  
Pierre Greisen ◽  
Lorenz Meier ◽  
Petri Tanskanen ◽  
Marc Pollefeys
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Velocity Estimation
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