These lectures are the best thing that happened to my career as computer vision engineer. I watch them slower than they are produced, but at least now I have some curriculum-based way to learn all of this.
Before that just talking about online vs offline localization, we want online localization because estimating current location realtime. Offline is gathering the data and estimating after the fact 16:45 visual odometry, using consecutive frames to estimate motion of the camera
Would it be possible to provide a link to the course if more material is online? I am a student interested in learning more. Thank you for considering!
These lectures are the best thing that happened to my career as computer vision engineer. I watch them slower than they are produced, but at least now I have some curriculum-based way to learn all of this.
Thanks
Before that just talking about online vs offline localization, we want online localization because estimating current location realtime. Offline is gathering the data and estimating after the fact
16:45 visual odometry, using consecutive frames to estimate motion of the camera
These are life savers
Thank you very much for the video.
Professor, can we expect a presentation explaining the derivation of particle filter as mentioned in Probabilistic robotics?
See my MCL lecture video in the same course
You are one of best I ever listen to
Thank you
Thanks Proffessor! Your lectures are really really helpful
I agree 🙂
Would it be possible to provide a link to the course if more material is online? I am a student interested in learning more. Thank you for considering!
Https://www.ipb.uni-bonn.de/msr1-2021/
great tutorial,thanks
Thanks