Hisland is closely supporting the #AI technical and business development part of the automotive sector and we are experiencing an exponential development within the automotive area, especially within electrification and #autonomous technology challenging traditional business models. This is partly due to the real-world testing companies pushing traditional models driven and today lead by companies like Waymo and Tesla.

Hisland believe it is of high importance for all markets to try to understand and follow both market trends and technology evolution. Year to date Tesla has recorded over 3 billion miles of Autopilot data for use in its research.

How can this extensive data knowledge impact your existing business model(s) (i.e. transport, taxi, public transportation etc. food delivery sector etc.)? Can you adapt to this threat/opportunity? Is this perhaps a part of the Smart City opportunity and challenge?

We believe that a good starting point is to engage or start following traditional business adapting to this trend and learn as well as start follow companies such as Waymo, Einride, Tesla, etc.

An amazing video shows what Tesla #autonomousvehicle / Autopilots neural network sees on the road.

  Tesla says, quote: "Our per-camera networks analyze raw images to perform semantic segmentation, object detection and monocular depth estimation. Our birds-eye-view networks take video from all cameras to output the road layout, static infrastructure and 3D objects directly in the top-down view. Our networks learn from the most complicated and diverse scenarios in the world, iteratively sourced from our fleet of nearly 1M vehicles in real time. A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep."

However Austin Russel, CEO of LIDAR maker Luminar says, quote:

“While Tesla will certainly continue to introduce better assisted driving features over the coming years, true autonomy is a completely different game altogether and requires a completely different approach,” said Austin Russell, “There’s no longer a backup driver, hands on the wheel, taking over when things frequently go awry. No doubt it will get [twice, three times] or maybe even [10 times] better over the vehicle’s life cycle. But for autonomy, it has to be, quite literally, near perfect ... to achieve safety greater than that of the average human driver.”

We at Hisland continue to be part of the movement, development and of course closely follow the (disruptive) technology race.