Silicon Valley startup DeepScale, a startup specializing in artificial intelligence perception software for driver-assisted and autonomous vehicles, closed a $15 million Series A funding investment round last week, led by venture firms Point72 and next47.
DeepScale's development of deep neural networks (DNNs), which can be fitted onto small, low-cost sensors in autonomous vehicles, has the potential to improve the accuracy of systems that interpret sensor data in real-time.
The software collects sensor data from the surrounding area as input and determines where everything is, what everything is called and how it is moving.
Because different sensors solve different perception problems -- for example, Lidar data to find the objects and Camera data to classify the objects -- a platform that integrates all sensors can improve accuracy and safety.
The DeepSpace software runs on a central processing platform commonly called an advanced driver assistance system (ADAS) domain controller, a type of processor designed by companies such as Nvidia, Qualcomm and Intel, among others.
"One of our core objectives is to drastically reduce the number of deaths and injuries on the road," Forrest Iandola, co-founder and CEO of DeepScale, wrote in a statement, announcing the funding round.
The company already has a number of strategic partnerships with OEMs and semiconductor suppliers to provide automated driving perception platforms, including Visteon and German automotive supplier Hella-Aglaia Mobile Vision.
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