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AI Driverless Cars Can Be a Cyclops, Single Eye Tragedies to Ensue
Dr. Lance B. Eliot, AI Insider
I recently spoke at an Autonomous Vehicles (AV) event and later on spoke at a major Artificial Intelligence (AI) summit that focused on AI self-driving driverless cars. At the first event, there were some fellow speakers arguing that LIDAR is the king and that any self-respecting self-driving car should be “going all the way” with LIDAR (LIDAR is a special type of sensory device that makes use of Light and Radar).
Meanwhile, at the second event there was a push by the keynote speaker that Cameras need to be the king of self-driving cars and that LIDAR is over-priced, over-hyped, and just not needed.
This would seem to be quite a confusing predicament to have “experts” claiming that one sensory device is best over another on self-driving cars.
The LIDAR-bashing crew showed examples of LIDAR images and challenged the audience to see if it could make any sense out of what the image showed. Audience members were not able to figure out whether a curb existed on the side of the road, and nor whether a sketchy image of a figure was actually a pedestrian or maybe something else like a street post. This seemed to be a very convincing example that LIDAR is no good, it’s washed-up, it’s got low resolution and ambiguities that make it…