This research assumed that the road is a flat and the vehicle has only 3DOF(Tx,Ty,Yaw). This assumption is for a special area and a vehicle must have the 3DOF. This assumption is a lot of limitation for general urban road. Unfortunately, the urban roads are not flat and include a lot of objects and a vehicle including vision systems has 6 DOF in general.
Sorry. I red "Robust Feature Extraction and Matching for Omnidirectional Images",FSR 2007. Could you forward me your paper. It is hard to find your paper for this video. Thank you in advance.
This research assumed that the road is a flat and the vehicle has only 3DOF(Tx,Ty,Yaw). This assumption is for a special area and a vehicle must have the 3DOF. This assumption is a lot of limitation for general urban road. Unfortunately, the urban roads are not flat and include a lot of objects and a vehicle including vision systems has 6 DOF in general.
jcchon 2 years ago
That's wrong. This algorithm does not assume any planar motion. The motion is estimated in 6DOF. You can find more details in my paper.
davidescaramuzza 2 years ago
Sorry. I red "Robust Feature Extraction and Matching for Omnidirectional Images",FSR 2007. Could you forward me your paper. It is hard to find your paper for this video. Thank you in advance.
jcchon 2 years ago
Hi you can find the paper on my webpage.
The paper is titled: "Real-Time Monocular Visual Odometry for On-Road Vehicles with 1-Point RANSAC"
davidescaramuzza 2 years ago
There is no magic trick, just magic.. an dyou can't understand how it works unless you are from Rome ;-)
davidescaramuzza 3 years ago
I really like this magic trick. I can see the misdirection though.
ubikspray 3 years ago