METHOD AND SYSTEM FOR IMPLEMENTING A DECENTRALIZED STORAGE POOL FOR AUTONOMOUS VEHICLE NAVIGATION GUIDANCE INFORMATION
A method and system for implementing a decentralized storage pool for autonomous vehicle navigation guidance information. Specifically, the method and system disclosed herein entail creating a decentralized storage pool aggregated and virtualized from disparate physical storage resources across autonomous vehicles, edge clusters, and/or the cloud to retain ever increasing amounts of data generated and/or employed through autonomous vehicle map-based localization. Further, a content-addressable, peer-to-peer (P2P) distributed file system may be employed to manage the organization of information on, and coordinate filesystem operations pertinent to, the decentralized storage pool.
1 . A method for loading autonomous vehicle navigation guidance, comprising:
identifying a region name associated with a region;
obtaining a mutable namespace based on the region name;
obtaining a processed map metadata digest based on the mutable namespace;
obtaining processed map metadata based on the processed map metadata digest;
obtaining processed map data based on the processed map metadata; and
loading the processed map data, to navigationally guide an autonomous vehicle within or through the region.
2 . The method of claim 1 , wherein obtaining the mutable namespace based on the region name, comprises:
performing a lookup on a mutable namespace registry using the region name, to identify a registry record comprising the region name and the mutable namespace; and
retrieving the mutable namespace from the registry record,
wherein the mutable namespace is associated with an edge cluster responsible for the region.
3 . The method of claim 1 , wherein obtaining the processed map metadata digest based on the mutable namespace, comprises:
performing a lookup on a distributed hash table (DHT) using the mutable namespace, to identify a key-record pair comprising the mutable namespace and a record; and
examining the record, to identify the processed map metadata digest; and
retrieving the processed map metadata digest from the record.
4 . The method of claim 1 , wherein obtaining the processed map metadata based on the processed map metadata digest, comprises:
performing a lookup on a virtual storage pool using the processed map metadata digest, to identify a virtual storage address; and
retrieving the processed map metadata from the virtual storage address.
5 . The method of claim 1 , wherein obtaining the processed map data based on the processed map metadata, comprises:
examining the processed map metadata, to identify a processed map data digest therein;
performing a lookup on a virtual storage pool using the processed map data digest, to identify a virtual storage address; and
retrieving the processed map data from the virtual storage address.
6 . The method of claim 1 , further comprising:
generating map data for the region while the autonomous vehicle is navigating the region;
publishing the map data to a virtual storage pool, to obtain a map data digest;
generating map metadata describing the map data and comprising the map data digest;
publishing the map metadata to the virtual storage pool, to obtain a map metadata digest;
generating a hash table key using at least the region name; and
publishing the map metadata digest to a distributed hash table (DHT) using the hash table key.
7 . The method of claim 1 , wherein the region comprises at least a portion of a roaded area, wherein the roaded area comprises at least one path on which the autonomous vehicle uses to navigate within or through the region.
8 . A system, comprising:
a virtual storage pool; and
an autonomous vehicle comprising a first computer processor operatively connected to the virtual storage pool, and programmed to:
identify a region name associated with a region;
obtain a mutable namespace based on the region name;
obtain a processed map metadata digest based on the mutable namespace;
obtain processed map metadata based on the processed map metadata digest;
obtain processed map data based on the processed map metadata; and
load the processed map data, to navigationally guide the autonomous vehicle within or through the region
9 . The system of claim 8 , wherein the virtual storage pool represents shared data storage aggregated and virtualized from disparate physical storage resources comprising physical vehicle storage residing on the autonomous vehicle.
10 . The system of claim 9 , further comprising:
an edge cluster comprising a second computer processor operatively connected to the virtual storage pool,
wherein the disparate physical storage resources further comprise physical edge storage residing on or operatively connected to the edge cluster.
11 . The system of claim 10 , wherein the edge cluster is responsible for the region.
12 . The system of claim 10 , further comprising:
a cloud backend comprising a third computer processor operatively connected to the virtual storage pool,
wherein the disparate physical storage resources further comprise physical cloud storage residing on the cloud backend.
13 . The system of claim 8 , wherein the virtual storage pool is managed by a content-addressable, peer-to-peer, distributed file system.
14 . The system of claim 13 , wherein the content-addressable, peer-to-peer, distributed file system is an Interplanetary File System (IPFS).
15 . A non-transitory computer readable medium (CRM) comprising computer readable program code, which when executed by a computer processor, enables the computer to perform a method, the method comprising:
identifying a region name associated with a region;
obtaining a mutable namespace based on the region name;
obtaining a processed map metadata digest based on the mutable namespace;
obtaining processed map metadata based on the processed map metadata digest;
obtaining processed map data based on the processed map metadata; and
loading the processed map data, to navigationally guide an autonomous vehicle within or through the region.
16 . The non-transitory CRM of claim 15 , wherein obtaining the mutable namespace based on the region name, comprises:
performing a lookup on a mutable namespace registry using the region name, to identify a registry record comprising the region name and the mutable namespace; and
retrieving the mutable namespace from the registry record,
wherein the mutable namespace is associated with an edge cluster responsible for the region.
17 . The non-transitory CRM of claim 15 , wherein obtaining the processed map metadata digest based on the mutable namespace, comprises:
performing a lookup on a distributed hash table (DHT) using the mutable namespace, to identify a key-record pair comprising the mutable namespace and a record; and
examining the record, to identify the processed map metadata digest; and
retrieving the processed map metadata digest from the record.
18 . The non-transitory CRM of claim 15 , wherein obtaining the processed map metadata based on the processed map metadata digest, comprises:
performing a lookup on a virtual storage pool using the processed map metadata digest, to identify a virtual storage address; and
retrieving the processed map metadata from the virtual storage address.
19 . The non-transitory CRM of claim 15 , wherein obtaining the processed map data based on the processed map metadata, comprises:
examining the processed map metadata, to identify a processed map data digest therein;
performing a lookup on a virtual storage pool using the processed map data digest, to identify a virtual storage address; and
retrieving the processed map data from the virtual storage address.
20 . The non-transitory CRM of claim 15 , the method further comprising:
generating map data for the region while the autonomous vehicle is navigating the region;
publishing the map data to a virtual storage pool, to obtain a map data digest;
generating map metadata describing the map data and comprising the map data digest;
publishing the map metadata to the virtual storage pool, to obtain a map metadata digest;
generating a hash table key using at least the region name; and
publishing the map metadata digest to a distributed hash table (DHT) using the hash table key.