Computational Blurring As Resolution For AI Autonomous Car Roving Eye 

 Computational Blurring As Resolution For AI Autonomous Car Roving Eye 

By Lance Eliot, the AI Trends Insider 

Have you ever taken a picture and realized that a person in the snapshot appears blurry due to your camera being out of focus? I’m sure you have. 

In some cases, the blur happens by accident, whereby you should have set the focus but failed to do so. It was merely an oversight. If you discovered the issue right away, hopefully, you were able to quickly take another photo and delete the remiss one. Problem solved.   

There are also situations involving the use of a blur for intentional purposes. 

Perhaps you have a few friends that want their pictures taken. Behind them are people partying and making quite a scene. You don’t want the background to overtake the attention to the foreground, namely the gaggle of your best friends. So, you set the focus to make the background blurry and ensure that the foreground is nice and sharp.  

Suppose that you indeed take such a picture and keep it around on your smartphone. A few weeks later, someone asks you if George or Samantha were in attendance at the event. You are pretty sure they were, though your memory is a bit hazy (potentially due to the numerous margaritas that you had).   

Wait for a second, they might have been in the background of that photo that you took of your dearest friends. You go ahead and pull up the picture to check it out. Unfortunately, the blur is overwhelming and there are no easy means to discern who else was captured in the snapshot. 

Why all this discussion about blurs in images?   

Blurring techniques can potentially offer a level of privacy for those that might be captured on an image or a video. This might entail blurring the face of someone. It could involve blurring their entire body and whatever kinds of motions they made. The blur is obscuring information and making it difficult to ascertain what was in the image or video. That can be a good thing if you are aiming to provide privacy to those caught on tape.   

As with most things in life, there is also a downside. In the example above, the blurred portion of the photo was unhelpful in answering the question about whether George or Samantha was at the party. There are likely lots of instances where blur makes some potentially useful information only marginally handy and possibly entirely unusable.   

Shifting gears (I promise to come back to the blurs in a moment), let’s talk about cars. 

The future of cars consists of self-driving cars. These are cars that have an AI driving system at the wheel of the vehicle. The driving actions are undertaken by the AI. No human driver is making use of the driving controls. 

An important element of self-driving cars is the use of various sensors to detect the driving scene. These sensory devices are the veritable eyes and ears of the AI driving syste

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Source - Continue Reading: https://www.aitrends.com/ai-insider/computational-blurring-as-resolution-for-ai-autonomous-car-roving-eye/

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