Dear Professors Darrell and Yu,
> Professors Darrell and Yu are leading researchers in AI, Computer Vision, and > Autonomous Driving, and have pioneered open-source frameworks and datasets > for autonomous driving research. Darrell has been in the field for over > three decades, founded the UC Berkeley BAIR and BDD centers, and is the > second most highly cited scholar in autonomous driving and the ninth-most in > computer vision according to Google Scholar. Yu is a leading researcher of > his generation in the area of perception for autonomous vehicles and was > recently hired as a tenure-track Assistant Professor at ETH after completing > a Postdoc at UC Berkeley, where he led the development of deep learning > models for autonomous driving and oversaw the collection of the BDD100K > dataset, which has been widely adopted in industry and academia. We are honored you have put effort into making LISP better for your use-case. We really appreciate the feedback. > The draft describes network aggregation of detections made by vehicles with > AI cameras driving at speeds of between 0 to 50 meters per second. Detections > are marked, enumerated, and localized by the vehicle, and are snapped to a > geospatial grid tile based on the vehicle position and geo-perspective > calculation. The enumeration and localization specified by the draft are > feasible with a reasonable onboard vehicle computer and are consistent with > current research results from our labs at UC Berkeley and ETH Zurich. That is good to know. > 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? > The formal geospatial grid used for localization and consolidated aggregation > is the H3geo.org hierarchical hexagonal grid, as it provides for clear tile > adjacency of the grid in each resolution level. This is a useful quality in > calculating perspective, propagating impact of conditions, and resolving > shard border-line detections. We believe these design decisions are > reasonable. Yes, Sharon presented this to the WG many times. We were convinced. ;-) > We understood the detection aggregation network is based on IETF LISP RFCs to > provide: > > (1) seamless (to vehicles) edge compute expansion-contraction of per street > activity Yes, the mapping system can map from an EID that describes different resolutions. > (2) geo privacy, preventing unwarranted vehicle tracking by geolocation > services Yes, again, the mapping system provides this service. It is centralized for management and also distributed for scale. > (3) seamless context switching crossing shards while driving, without DNS > disruption Yes, we call that EID-mobility. > (4) service and subscription continuity when switching carriers/wlan while > driving Yes, the mapping system was extended from initial design to provide a PubSub capability and we are now using it for many of the use-case designs. > (5) mobile queuing, and metro ethernet edge route coalescing: M Mbps X Few > 100GE Right, EIDs can be aggregated when they are encoded as a power-of-2 address. > (6) replication of push notifications, network join: Vehicles X Situations X > Locations Yes, PubSub. > 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 _______________________________________________ lisp mailing list [email protected] https://www.ietf.org/mailman/listinfo/lisp
