Autonomous Vehicles: The Data Problem

April 5, 2018


Recent developments in the area of Artificial Intelligence (AI), specifically the advancement of deep learning and increased computing power, have made autonomous driving feasible for the first time. This blog describes the transition from code-centric algorithms into data-centric algorithms that are necessary for deep learning. Though the results achieved by these new methods are significant, they require large amounts of training data and raise problems around the storing and transmission of data from the autonomous vehicles.

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Bridging the Gap – Automotive Hardware in a Software World

March 14, 2017

With the emergence of the Connected Car, ADAS, and Self-Driving Cars, OEMs are asking one important question: How do we solve the paradox of a piece of hardware that will exist for 10 years in an industry where the preferred features and technologies of our users evolve every 3 years? According to SimilarWeb, nearly 60% of web traffic is coming from mobile browsers, so the odds are that you are holding the answer in your hand right now.

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How driver behavior analytics help insurance and fleet management companies

February 24, 2017

HERE and Abalta have partnered to provide Fleet and Insurance companies a better way to accurately capture and measure driver behavior.  To read more about the how we are partnering for enhanced driver behavior, please click on this link Here 360 

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Why OEMs Need To Incorporate IoT Into Their Dashboards

September 30, 2015

The number of cars worldwide connected to the Internet will grow more than sixfold to 152 million in 2020, up from 23 million in 2013, according to IHS Automotive. At the same time, Gartner estimates the Internet of Things (IoT), the machine-to-machine connection of which cars are a large part, will grow from 4.9 billion “things” in 2015 to 25 billion by 2020.

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