Last year I wrote about how computer vision is helping us harness the power of machines to understand the world, and how for updating maps this process is faster and more accurate than what we could ever accomplish manually. This year, we can expect that to expand to more types of data, novel ways to combine sensors, and improved accuracy. Behind all of this is deep learning.Deep learning is a machine learning method and a type of artificial intelligence that is changing the game for the geospatial industry. Deep learning was called the next evolution of machine learning when it started dominating industry benchmarks a few years ago. The goal with deep learning is to develop algorithms that allow computers to essentially learn patterns and replicate processes.
Although deep learning has been used for some time now, industries like maps and automotive are just beginning to scratch the surface of what
Although deep learning has been used for some time now, industries like maps and automotive are just beginning to scratch the surface of what