Nexar, Ltd. (Tel Aviv, IL)

A networked system that provides public space data on demand, including a plurality of vehicles driving on city and state roads, each with an edge device equipped with processing capability to capture frames of its surroundings as well as a vehicle-to vehicle network to which the plurality of vehicle are connected, receiving queries for specific types of frame information and distributing the queries to the plethora of vehicles, receiving replies to queries from a fraction of the vehicles and then delivering the matched data by storing the matched data in a central storage server, as well as a learner digitizing the public space in line with the responses received to the queries.

Visibility as to what is going on in the roadway and in its surrounding environment can improve security and efficiency of the transport infrastructures and systems. To make it easier to observe state or city roads conventional systems need expensive stationary hardware that has restricted reach and only collects information via sensors and images. These systems are costly and offer limited coverage of the geographic area. They are also not able to provide regular data updates. In addition systems that use mobile technology have greater research capabilities, but are limited in their capacity to gather large amounts of data and the frequency of updates to data. This means that they’re unable to offer immediate insights.

It would thus be of advantage to have improved systems that are inexpensive, and also provide top quality road insights and mapping in real time.

The invention described herein provides a network system that works collaboratively. It is built on devices that are edge-based, such as smartphones and cloud nodes and permits digitization and mapping of public spaces. Systems of the present invention leverage collaborativenetworks to make intelligent tradeoffs between computation and communication for high quality road insights and mapping. Systems that are of the present invention create roads maps and collect high-frequency road data that is localized in real-time, employing mobileagents to are able to capture public space on demand by using sensors, both visually and in conjunction with cloud-based machine learning for a thorough scene understanding. The invention provides transportation planners, cities and other users information such as the patterns of traffic, routing vehicles cities dynamics, as well as infrastructure management.

In accordance with one embodiment of the invention, there is a networked system which provides public space data on demand. This includes a variety of vehicles that are driving on city or state roads. Each vehicle has an edgedevice that has processing capabilities that captures frames. A vehicle-to-vehicle network is used to connect to the vehicles. The vehicle is the one that receives requests for specific types frame data. It then transmits these queries to a variety of vehicles. A portion of these vehicles will respond to questions.

Additionally, it is provided in accordance with an embodiment of the present invention , a networked system to digitize public spaces, comprising multiple mobile agents in vehicles, the mobile agents are equipped with cameras and sensorsand communicatively coupled via a vehicle network which is constantly recording video, sensor data and metadata, and then sending some of the video recorded, sensor data, and metadata to a central cloud storage server, in response toreceiving a query from a vehicle network server that includes a learning machine (i) analysing the video, sensor data and metadata to identify things in the video sensors, metadata and data, and (ii) determining which video, sensor dataand metadata to transfer to the cloud, based on the received query, so as to maximize overall mutual information. It also includes a centralized cloud storage server that receives the video, sensor data and metadata sent by mobile agents, including an eventclassifier that analyzes event candidates and classifying events as well as a query generator for directing the mobile agents to find more information on a suspected event, via the vehicle network. It also includes an engine that generates an ever-changing city heatmap and updating the heatmap in response to subsequent videos as well as sensor data and metadata that are received by the mobile agent.

In accordance with an embodiment of the invention, a computer-based method for providing public space data upon demand, which includes propagating, by the vehicle network server, queries to a plurality of vehicles communicating with one another via an automobile network each vehicle including one or more edge devices which comprise cameras, as well as other sensors that continually create videos as well as sensory data and metadata and transmits a portion of the videos, sensorydata as well as metadata to a central storage server, the portion suitable for one or more of the transmitted queries, indexing and notating the video files, metadata and sensory data, by the centralized storage server, sensory data andmetadata as well as mapping and digitizing the public space based on the indexed and annotated videos sensor data and metadata.

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