Wonderful lecture sir! Thank you so much. How does one decide which technique of SLAM is appropriate for an application , given that there are many new techniques like RatSLAM etc too ?
My solutions to the lab exercises can be found here github.com/conorhennessy/SLAM-Course-Solutions. Have a look at my read me, there you will find other solutions that I have found online
great explanation :) , i think if you had include the exercise of the lecture it will more and more helpful , any way to get the second part of the lecture , exercise part 🤔
if you are looking for exercises, here it is, on the official page of the course you can find it: ais.informatik.uni-freiburg.de/teaching/ws12/mapping/
@@padraopv absolutely no worries! I thought I would share them with the world. If you have any questions at all reply here or raise an issue on GitHub!
We can represent rotation, scaling etc using matrix multiplication. But translation still is an addition operation. With H.C. translation can also be represented as matrix multiplication.
Cyrill Stachniss Thanks for your quick reply. I am a PhD researcher. My study is multidisciplinary research, and I need to know more about photogrammetry which i have seen in the aforementioned link you teach those what i need. May i know that you have also tutorials or videos on those as well ?
everybody who makes a tutorial on homogeneous coordinates only tells you what are the advantages of homogeneous coordinates but then doesnt actually explain what they physically mean because "its not part of the course". what a waste of thirty miutes.
I think he pretty much explained it around 9:54 the best he could, any physical mean would need a real life application and it is different in each and every case, this is only math! To put it in a real life example: if you think O3 is your focal point, and the plane (defined here by w=1) is your plane of projection (basically your CCD camera sensor) then u, v stands for the pixel position of your CCD sensor... w will be 0 as you have no depth information as it is explained at 11:50.
While still a good introduction, NJWILDBERGER will explain what they mathematically mean. Watch his videos and you will begin to start seeing why they are neccesary. And how you can begin to think about them naturally.
