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Rise Of Autonomous Cars Means Wave Of Big Data Is Inbound

A single autonomous vehicle with its sensors, cameras and LiDAR can produce 100 gb of data every single second it’s operational. With that kind of data comes new opportunities and challenges alike.

CNBC spoke with Barclays analyst Brian Johnson, who lo0ked a few of the areas companies and automakers will likely have to tackle when it comes to an “ocean of auto big data.”

Specifically, storing the data will be a challenge. Even as 5G wireless technology comes about, extracting the most useful and important information will be key. He says “edge analytics” may become a useful tool, instead of simply sending massive amounts of information to the cloud.

As for the pros of all this data, new services and marketing opportunities will crop up as data is analyzed appropriately. A lot of it will likely come via location-based marketing, but in-vehicle services will have to compete with smartphones in this area. GM may further exploit its OnStar 4G LTE Wi-Fi service and it has already paired with IBM’s Watson to begin dipping into these areas as you read this.

Stockpiling driver data will lead to a whole new area of services, and ultimately, it’s going to influence the future of autonomous vehicles, too.

Former GM Authority staff writer.

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  1. Ford bought Velodyne LIDARs and has the same issues, but I believe Ford is using Nvidia graphics processors to handle the billions of 4D (3D of space plus speed) vector data points per second, and supply the results to the navigation system to simplify the equipment and allow their Fusion Hybrids to navigate with no pre-programmed maps.

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