{"id":2115,"date":"2020-02-13T07:43:03","date_gmt":"2020-02-13T07:43:03","guid":{"rendered":"http:\/\/dexpatent.com\/insights\/?p=2115"},"modified":"2024-02-01T13:08:15","modified_gmt":"2024-02-01T13:08:15","slug":"edge-computing-driver-less-vehicles","status":"publish","type":"post","link":"https:\/\/dexpatent.com\/insights\/2020\/02\/13\/edge-computing-driver-less-vehicles\/","title":{"rendered":"Battle Between Life and Death – Edge Connected Driverless Vehicles"},"content":{"rendered":"

\"Battle<\/p>\n

Technology can be broadly classified into two categories – sustaining and disruptive. While sustaining technology relies on incremental improvements to an already established technology, disruptive technology displaces an established technology and shakes up the industry by evolving as a ground-breaking product that gets completely transformed into a new industry.<\/span><\/p>\n

While the most disruptive technologies in 2020 will include automation (e.g. smart homes, driving vehicles etc.), IoT, digital twin, trust in digital interactions, phygital spaces, and data wallets. IoT presents a whole new set of opportunities as it will influence our homes, cities, offices as well as industries like retail and health care.<\/span><\/p>\n

The explosive growth of internet-connected devices \u2013 the IoT \u2013 along with new applications that require real-time computing power, continues to drive edge-computing systems. Edge computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world.<\/span><\/p>\n

What is Edge Computing and why do we need it?\u00a0<\/strong><\/h2>\n

Edge computing is a distributed information technology which remodels the way of handling data. It processes the data near edge of the network i.e. from where the data is generated instead of using a centralized server or Cloud.<\/span><\/p>\n

Edge computing is used for local data communication and transmits most wanted data to the cloud by grouping it.<\/span><\/p>\n

In cloud computing BIG DATA is collected and computed while in Edge computing instant data i.e. real time generated data from sensors is processed.<\/span><\/p>\n

Are there multiple Edge Computing Platforms?<\/strong><\/h2>\n

\"Edge<\/p>\n

In the near future, autonomous vehicle will rule the highway and will decide the life of millions of humans on the road. Typically, these vehicles are IoT enabled, and broadcast \u201cOn the Go\u201d information about road conditions, weather and other sensor-based information which is used by the other vehicles for safer and better navigation thereby reducing the possibility of accident.<\/span><\/p>\n

In order to avoid accidents, data processing needs to be faster and this is where Edge computing plays a major role.<\/span><\/p>\n

How Edge Computing is implemented in Autonomous vehicle?<\/strong><\/h2>\n

The autonomous vehicle edge computing system consists of three layers: vehicular layer, edge layer, and cloud layer. The edge layer acts as an intermediary between the cloud and the vehicles. The sensors are present in the vehicles which collect data and the collected data is processed by the edge server which is placed in close proximity to the vehicular networks.<\/span><\/p>\n

The edge layer offers Infotainment, Storage, Computation and Network service to the vehicles. The edge layer needs to be deployed at suitable location to enhance the network performance.<\/span><\/p>\n

\"Edge<\/p>\n

What are the pros of\u00a0Edge Computing ?<\/strong><\/h2>\n

\"Edge<\/p>\n

Who leads the Edge Computing\u00a0 market?<\/strong><\/h2>\n

\"Edge<\/p>\n

Interesting Patent in Edge Computing :<\/strong><\/h2>\n

Startup company Renovo has implemented edge computing at the electric-vehicle charging stations and it has selected data center provider EdgeConneX for deploying it in the environment. The EdgeConneX has deployed more than 40 edge data centers throughout North America, South America and Europe.<\/span><\/p>\n

The United States Patent<\/span> US20190174514 which was filed by Renovo Motors Inc, relates to Edge Computing implemented in autonomous vehicle.<\/span><\/p>\n

It relates to a new and useful computing and data storage architecture for providing resource analysis for autonomous mobility on demand in an efficient manner.\u00a0 In one implementation, it describes a system and method function to generate large amount of data at the edge (or in a local environment), absorb these large volumes of data at the edge, as well as compute against the large volumes of data at the edge (e.g., locally) for generating meaningful system control inputs, useful data, useful analysis, and the like. In this type of system architecture, content in most implementation may be absorbed rather than consumed at the edge by computing nodes and content distributed from the edge to central repositories (or regional and global cloud centers).<\/span><\/p>\n

Benefits of US20190174514 <\/strong><\/h2>\n

The proposed method in the above patent<\/span><\/p>\n