Sonar

Sonar

This is the dolphin's sonar. (Dolphin echolocation noises)

So how would you design a perfect sonar ping?

He was the sonar engineer working for the Navy.

Here's a second example of human echo location or human sonar.

So that was the sonar ping they were using a down chirp.

And John went about and solved the sonar problem for the Navy.

So he designed a different kind of sonar ping one that looks random.

Put sonar and radar in all auto mobiles so they can't hit one another.

Maybe another way to say it is, that we're not bats, and we don't use sonar.

We make maps of these mountain ranges with sound, with sonar, and this is one of those mountain ranges.

Well, in the 1960s, a guy by the name of John Costas was working on the Navy's extremely expensive sonar system.

It turns out a guy who was trying to develop the world's perfect sonar ping solved the problem of writing pattern free music.

For example, in oceanography, a lexicon of dolphin language is actually being created by basically visualizing the sonar beams that the dolphins emit.

So, recall that in sonar, you have a ship that sends out some sound in the water, and it listens for it an echo.

And the measurement probability here is nothing else but the consistency of the sonar range measurements with the map of the environment given the particle place.

But there are blind people today that are actually being trained in schools to do this and learn to interpret the pattern of sounds bouncing off your environment that's sonar.

Intuitively speaking, each particle is a representation of a possible state, and the more consistent the particle with the measurement, the more the sonar measurement fits into the place where the particle says the robot is, the more likely it is to survive.

This provides his range sensors as indicated by the blue stripes those use sonar sensors, which means sound, to range the distance of nearer obstacles, and it has to use these range sensors to determine a good posterior distribution as to where it is.