18:20 the landmarks are not “tracked” instead they are individual detections at every frame, because tracking will complicate the noise model. The local association algorithm/step is what associates these individual detections from each frame to say that these detections are detecting the same object 22:25 matching detections to map called map matching algorithm
18:20 the landmarks are not “tracked” instead they are individual detections at every frame, because tracking will complicate the noise model.
The local association algorithm/step is what associates these individual detections from each frame to say that these detections are detecting the same object
22:25 matching detections to map called map matching algorithm
Great lecture and well description on graph based localization
thanks for the lecture, but the sound is very low
where can I find the lecture note?
Can you provide the link for the Wilber’s 2019 paper?
All papers are on my group website
the lecture was not good.