Intel Corporation

Naveen Aerrabotu

David Israel Gonzalez Aguirre

Javier Felip Leon

Patricia Robb

Rufeng Meng

Razia Shaik

Various systems and methods for updating a current probability density function. The PDF includes a list of objects within a location. First information is received from a first remote device at a first position within the location. The first information includes a vehicle identification, a first PDF of the objects. Second information is received from a second remote device at a second position within the location. The second information includes a vehicle identification, a second PDF of the objects. A first rank for the first PDF is determined based on locations of the objects in the first PDF compared to locations of the objects in the current PDF. A second rank for the second PDF is determined. The first PDF and the second PDF are combined using the first rank and the second rank into a combined PDF. The current PDF based on the combined PDF.

Obstacle localization based on probabilistic consensus

System and techniques for a virtual private network are described herein. A plurality of host beacons may be obtained. Here, each beacon corresponds to a backhaul and includes an endpoint performance data structure. A set of endpoint performance data structures may be extracted from the plurality of host beacons. The set of endpoint performance data structures may be sorted based on a set of fields of members of the set of endpoint performance data structures. Entrance to a backhaul for a host corresponding to an endpoint performance data structure at an end of the sorted set of endpoint performance data structures may be negotiated.

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Fremont, CA, United States of America

Naveen Aerrabotu