![]() ![]() ![]() These sensors, and other necessary systems such as GPS, lead to estimates that each autonomous vehicle will generate and consume roughly four terabytes of data for every eight hours of driving. Lidar sensors send out a pulse of light and measure the reflective return to determine the distance between objects, generating a precise 3D map of the car's surroundings. ![]() In many ways, cars are becoming big computers on wheels, equipped with a number of sensors such as Lidar. Reliability is key - it would be silly to rely on cloud computing for self-driving Recently Mesosphere was awarded the technology pioneer status by the World Economic Forum, and on this occasion its CEO noted a few things on edge computing and autonomous/ connected cars. Mesosphere is mostly known as the company behind DC/OS, one of the top platforms for building, deploying, and elastically scaling modern applications and big data. "This is limiting the growth of IoT applications using of low bandwidth, low-power IoT devices with limited processing capabilities at the very edge of the IoT - the 'Deep Edge.' Data orchestration - not higher network speeds - is what is really needed to better process data on these edge devices, extract data from these devices, integrated this data with other data sources in the cloud, and update security and other software on these devices." "Perhaps for some very high bandwidth applications, but the key limiting factor for most IoT applications today is data orchestration, not network speed," says Olivier Pauzet, Vice President & General Manager, IoT Solutions in Sierra Wireless. But is network speed the key for use cases involving edge analytics and intelligence, such as IoT and autonomous vehicles?Īlso: AT&T: 5G leadership due to focus on edge and virtualisation | Samsung 5G fixed-wireless gains FCC approval | TechRepublic: IT pro's guide to the evolution and impact of 5G technology 5G is sold mostly on the merit of advancing network speed. ![]()
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