Thanks for the reply Trevor. Dino
> On Aug 5, 2022, at 2:56 PM, Trevor Darrell <[email protected]> wrote: > > > > On Tue, Aug 2, 2022 at 1:16 PM Dino Farinacci <[email protected]> wrote: > Dear Professors Darrell and Yu, > > ... > > Detections from each area are aggregated in algorithmically (location) > > addressable shards. > > > > A consolidation process is applied to merge multiple detections from > > multiple points of view, varying time-stamps, and varying detection and > > localization errors. The consolidation process emerges the current state - > > enumeration of the condition of each grid tile aggregated by the shard. > > Both condition enumeration, data-clustering, and consolidation processing > > applied on network edge computers are aligned with BDD research. > > One question, what if two detections, roughly at the same time, report > different visualizations? Is there a policy, such that if one detected > nothing and another detected an object, that you err on choosing there was an > object present? > > > In general such policies are called "non-maximal suppression", and yes, it is > standard to include various heuristics and/or learned decision fusion > techniques to resolve unique detections. While this is still somewhat an > area of research to perfect such techniques, they have been already widely > deployed for over a decade in e.g., vehicle and pedestrian detectors, both > within views and across multiple views. Each vendor will likely implement a > specific policy at first, these policies will generally rely on the network > delivering as many samples as possible with minimal disruption to the same AI > context, ie EID in this case. > > ... > > Therefore we believe that [email protected] is the appropriate review venue for > > this draft. Please do not hesitate to contact us for further discussion of > > this important topic. > > That is great news. We will make sure we contact you if we need any questions > answered about the use-case. But Sharon is very fluent with the use-case so > he answers most of our questions. > > Cheers and thanks again, > Dino > > > Thanks/Cheers > t > _______________________________________________ lisp mailing list [email protected] https://www.ietf.org/mailman/listinfo/lisp
