I am glad Mr. Stachniss is doing this kind of videos on KZbin. Sometimes I am missing a bit of background but the videos give a very good general idea of the conveyed concepts. Please continue!
@matthewwithum83724 жыл бұрын
Came across him back in college. His remote sensing knowledge is astounding. Please keep the content coming! Specifically some Lidar object classification. Please and thank you for all.
@PladdenTim3 жыл бұрын
I must say this was 100 times better explained then by Prof. Burgards mobile robotics lectures, really nice and clean.
@michaelscheinfeild97682 жыл бұрын
Thank you Cyrill for clear explanation on robot map this help me to build my map to learn on robot and autonomous cars !!
@natecibik55053 жыл бұрын
Extremely helpful and well explained. Thank you for this video!
@hl-qz1ec2 жыл бұрын
Great explanation!
@obensustam35747 ай бұрын
very well explained
@woofer4662 жыл бұрын
Thank you for a great lecture! Can this filtering algorithm be used to build a local map of current environment around a robot by noisy data of range sensor? For use in tasks such as collision avoidance or local path planning
@CyrillStachniss2 жыл бұрын
Yes, that’s what it is made for
@AllenCutinha3 жыл бұрын
Es wäre sehr hilfreich, wenn Sie die ppt slides für diese informative Vorlesung teilen könnten.
@datbuiquang62512 жыл бұрын
Can you guy recommend me some coding books for these lectures, thanks?
@transfer8902 жыл бұрын
Hello Cyrill, I wanted to know what values are reasonable for p_occ and p_free. Can you tell an example of values that you used in the past? Just to get an idea. Thank you very much for the lecture and your work in general.
@CallSaul4892 жыл бұрын
Starting probability is 0.5 since it’s unknown
@Anandpasunoori2 жыл бұрын
Nice video. am new to this topic, where do i get know meaning (details ) for mapping, grid. local grid , uncertainty ...? is there any book or link for beginners with all the basic details to expert level
@CyrillStachniss2 жыл бұрын
If you don’t mind reading, look into the probabilistic robotic book by Thrun, Burgard, Fox
@swagatochatterjee71042 жыл бұрын
One questions Prof Stachniss, how should we update the map on loop closure? Because at that point, all the wrong cells will be marked with the occupancy probabilities based on the pose-landmark graph, and as we know, Loop closure can change the pose-landmark graph dramatically. Another question, say we have a occupancy grid based on two sensors say a LIdar, and a Sonar, how do we puse both of them? Should we just multiply the probabilities, or look for something like a Kalman Filter?
@CyrillStachniss Жыл бұрын
Regenerate it with new poses…
@shikhatiwari5575 Жыл бұрын
Great video Sir it really helps. I have a question if you can help me, what is the difference between and occupancy grid map and reflection or counting based mapping.
@CyrillStachniss Жыл бұрын
As the name says, one approach estimates the probability of occupancy and the other one estimate the probability if a beam gets reflected by cell or not. These are two related concepts but not the same things.
@shikhatiwari5575 Жыл бұрын
@@CyrillStachniss Thank you so much Prof. for the reply. Another question to that how this makes a difference when considering windows/glasses in the map.
@shivamchandel39223 жыл бұрын
which is the best software to deal with lidar data & occupancy grid generation purposes?
@shoaibahmed20773 жыл бұрын
will you please provide slides ?
@PladdenTim3 жыл бұрын
The slides or similar sliedes can be found on the "mobile robotics lecture" of the Uni Freiburg. Just google "uni freiburg mobile robotics". The slides are a bit different because their are from Prof. Burgard, but their almost the same. Be careful, the order of the slides their are not the same order as this playlist. You have to look at the topics to find the right one.
@furkanedizkan72022 жыл бұрын
Great explanation and very helpful information. Thank you!