I think there is a lack of words in dictionary which can describe the beauty and consistency of knowledge given in this channel, especially (now disused) displayed by Brian. Masterpiece! Thanks. Have a nice day
Really enjoyed your tutorials on Sensor Fusion. I was wondering why you did not include Hungarian algorithm for data association. You could have also given some tips on how to incorporate deep learning based models to perform tracking ( or at least detection).
because this tracker system is not cooperative each other. each agent do not know the place where other is. if the system cooperative, it can be nice appproach to indicate the position for commnication througout the hungarian alg..
I think there is a lack of words in dictionary which can describe the beauty and consistency of knowledge given in this channel, especially (now disused) displayed by Brian. Masterpiece! Thanks. Have a nice day
Awesome! Track-level fusion is important when the number of sensor is very large, e.g., the 20+ lidar array.
Or Aegis, with multiple destroyers in the network
As always, very helpful, thank you!
Really enjoyed your tutorials on Sensor Fusion. I was wondering why you did not include Hungarian algorithm for data association. You could have also given some tips on how to incorporate deep learning based models to perform tracking ( or at least detection).
because this tracker system is not cooperative each other. each agent do not know the place where other is. if the system cooperative, it can be nice appproach to indicate the position for commnication througout the hungarian alg..
Very informative!
Thanks to you add the Chinese translation. Sometimes these academic terms really make me confused.
thank you, would you please show us the text book related to your tutorial
Masterpiece! Thanks.
Big thanks!
When you said fusion. Thought u meant Fusion 360 loi
When you said fusion i thought u meant Fusion 360 lol