January 9, 2010
We’re glad to present the first prototype of monoSLAM working inside jdeRobot platform.
MonoSLAM is for monocular Simultaneous Location And Mapping, a computer vision technique which permits to estimate in real-time the relative position of a moving camera with respect to several landmarks extracted from the environment, using only the image sequence that provides the camera.
It is potentially helpful in visual odometry for robots, specially for those whose mechanical odometry is poor (e.g. legged robotssuch as Nao). It can also be used for augmented reality systems and scene reconstruction from video sequences.
You will always find a video of the latest prototype by following this link:
September 27, 2008
Title: The CarSpeed project
Speaker: Victor Hidalgo
Date: 2008/09/30, 19h
Place: Universidad Rey Juan Carlos at Robotics Lab (Departamental-II)
Next tuesday, September 30 at 19h, we will hold the seminar “The CarSpeed project’ in the Robotics Lab. Victor Hidalgo will explain his work in that project, and the underlying computer vision technology. CarSpeed deals with an application that it is able to carry out precise estimation of vehicle speeds. It also counts the number of the vehicles that travel through the road.
The system uses a single off-the-shelf camera. Its images are carefully analyzed to give estimations of vehicles speed. The application detects and tracks the vehicles on the road. The detection step allows the system to realize the appearance of new vehicles. It uses a sampled motion filter. The tracking algorithm starts for each new detected vehicle. It implements an homography and an evolutionary algorithm that keep several speed hypothesis while they are compatible with the camera images. Check out this video (right) for a demo.
You are all kindly invited!
