Visual Odometry in a 2-D environment CS-365A Course Project BY: Aakriti Mittal (12005) Keerti Anand (13344) Under the guidance of: Prof. Amitabha Mukherjee
Introduction Visual Odometry is the process of estimating the position and orientation of the robot using the camera images associated with it. Our aim is to determine the location of the robotic arm, having 2 or 3 links with camera mounted on the top of the end effector, by analysing the images of the environment of the robot.
Motivation Mars Land Rover Mission All those places where GPS can’t be used to determine one’s location Visual Odometry provides a quite accurate tool to handle the problem of navigation and finding its location
Approach Environment: Square shaped box with 4 coloured walls and black corners
Approach
References R. Horaud, R. Mohr, F. Dornaika, and B. Boufama, The advantage of mounting a camera onto a robot arm, in In Proc. of the Europe-China Workshop on Geometrical Modelling and Invariants for Computer Vision, pp D. Nister, O. Naroditsky, and J. Bergen, Visual odometry, in Computer Vision and Pattern Recognition, CVPR Proceedings of the 2004 IEEE Computer Society Conference on, vol. 1, IEEE, 2004, pp. I Visual odometry for ground vehicle applications, Journal of Field Robotics, 23 (2006), pp D. Scaramuzza and F. Fraundorfer, Visual odometry [tutorial], Robotics & Automation Magazine, IEEE, 18 (2011), pp Swati, Construction of ego-model of robot arm
Thank you!! Questions??