Edge Computing’s Applications In Autonomous Driving And Business At Large Posted on : Sep 27 - 2021

The world is about to experience a dramatic shift. The automotive industry is one of the fastest-growing industries, and edge computing will be a big part of this change. Advancements in information technology, which include new sensors and better data processing and control, will transform the transportation system from a conventional technology-driven system into a more powerful data-driven system. This movement will generate a tremendous amount of real-time data from self-driving vehicles, driver-monitoring systems and surveillance cameras for artificial intelligence algorithms to harness.

And these advancements won’t just affect the driving industry. Edge computing and network upgrades show promising applications in various business use cases.

The Role Of Edge Computing

Edge computing is comprised of compute storage, data management, data analysis and networking technologies. The edge allows for real-time data processing, which allows applications and devices to react to data instantaneously.

Autonomous vehicles can connect to the edge to improve safety, enhance efficiency, reduce accidents and decrease traffic congestion. These cars are equipped with a variety of sensors, and the large amount of data created by these sensors needs to be processed quickly.

Machine learning algorithms used in self-driving cars extract insights from raw data to determine road conditions and make decisions based on them. This may include pedestrian locations, road conditions, light levels, driving conditions and objects around the vehicle. All of these factors produce enormous amounts of data that must be processed on the edge.

Role Of 5G

A faster, more cost-effective and reliable network has always been a modern goal for all parties. That’s where 5G technology comes into play. It provides improved reliability and can sustain far more devices and sensors that provide real-time insights to self-driving cars.

5G’s low latency and high bandwidth will be able to support the development of cloud-based, high-resolution augmented reality/virtual reality service driving. This technology will be able to provide immense social and economic value to the industry, paving the way for a hyper-connected network, in which all connected cars can share information and enhance the autonomous journey for all users. View More