Everyone is familiar, at least at a high level, with the concept of an autonomous vehicle or in other words a vehicle that can drive itself. However, the complexities to make this happen are amongst the biggest challenges in engineering today. Imagine all the different scenarios and corner cases that we humans deal with today when we drive. We must negotiate rush hour traffic, anticipate a child running in front of our car, weave around debris in the road, merge into high-speed traffic, react to traffic signals, follow detour signs and so much more. These do not seem like a big deal to humans because we have a highly developed brain, but how do we train a computer or a series of computers to perform these tasks without failure?
The answer is of course complex and involves many modern technologies, including advanced image processing of camera feeds, LiDAR (Light Detection and Ranging) and FPGAs. In fact, Accolade Smart NICs, which are FPGA based, can be a vital part of an autonomous vehicle design.
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