Hi, this is Wayne again with a topic “Why Self-Driving Cars DON’T Just CRASH”.
I don’t think anything says we’re living in the future, quite like the proliferation of self-driving cars now granted, they’re, not exactly all over the roads yet, but given the huge investments that automakers and tech companies are making in them, it seems like it’s a matter of when, Rather than if, but how exactly do they work, I mean most of our trains aren’t even self-driving, and those things aren’t quite literally on Rails. Well, as you’d expect, self-driving cars are jam-packed with tons of equipment to help them both see and understand their environment. Some of it is rather familiar, such as a data connection for traffic info and a GPS transponder to allow the car to know where it is. But while GPS is fine for providing driving directions in a human controlled car, it has a margin of error. Of up to several meters and besides to control a car with such a slow and error-prone system would result in more than a few fender-benders.
So, to start with, self-driving cars also use freaking laser beams to build a map of what’s around them. Lidar, which you can learn more about up here, can be built into units that can spin 360 degrees, shooting invisible lasers in all directions, then measuring how long it takes for each beam to hit an object and bounce back. This allows the car to judge not only the distances, but even the shapes of the objects immediately around it. Giving the car even more information is traditional radar to help it gauge speed, gyroscopes and accelerometers to provide more movement data than would be possible with a traditional, speedometer and high resolution cameras.
Now you might think well, we’ve already got frickin laser beams. What are the cameras for? Well, although the cars other systems give it a pretty good idea of what’s in the general vicinity, the cameras really help provide a complete picture as they can see in color. This helps your car distinguish. Let’S say a caution sign from a Construction sign, so you put all of this together and the car has a coherent 3d map that provides the data that it needs to make.
This visions, for example, lidar and video, can determine whether that thing up ahead is telling the car to stop or yield whether the vehicle in front is a small sports car or a large truck, so that it can decide whether to pass or whether that two wheeled Contraption is a motorcycle or a bicycle, so the car can get around the cyclist and give her a bit more space. Also many self-driving cars have ultrasonic sensors in the wheels, so the car will know how close it is to the curb and other vehicles, while parking and even microphones, so that they can hear a police or EMS siren to get out of the way in a timely Manner I mean that’s gon na be one improvement on the roads around here. Once self-driving cars are ubiquitous, people can be so rude going to an emergency anyway, that’s how all the data gets collected, but what about the processing an experienced driver can take in information from the environment, filter out everything, that’s not important and make all the kinds of Decisions we talked about before in a fraction of a second.
So of course, then you need a lot of computing power for a self-driving car to pull off the same thing. This is made possible by running many processors in parallel to crunch these numbers. It’S actually quite similar to how desktop GPUs work. These types of processors also happen to be more trainable with machine learning. So, for example, you can teach a car what a pedestrian looks like by showing it a large data set with lots of photos of people crossing the road, but what if a self-driving car didn’t only have to rely on its own sensors and processors? Well, another goal is to have these cars communicate with each other, while they’re on the road, so they can actually tell other cars what they’re doing and why enhancing safety and taking some of the guesswork away from the individual vehicles and, if you think about it, having Many cars working together, like this in unison, could help with lots of other issues like easing congestion by coordinating movement, so that traffic can keep flowing smoothly. Also, in the future, especially wants faster, 5g connections become more common.
We could even see smart infrastructure that communicates with the I mean think about a parking garage that could tell a car that it’s too full to accommodate it or transponders in construction zones that could tell them to slow down and prepare for narrower lanes. Of course, we do still have a long way to go before this kind of tech is commonplace, but given how many semi autonomous cars are available for purchase today and how much money is being poured into this whole endeavor, along with the ever-rising processing and data speeds, We continue to enjoy. The hope is that in the near future, our car trips will be much easier and safer since well. Over 90 percent of car accidents are attributable to human error and speaking of self-driving cars, today’s episode was brought to you by IBM spectrum storage. Did you know that a self-driving car can generate up to 15 terabytes of data every hour, and lots of this is actually not even used while they’re driving? So it’s really common in the AI industry to have to ingest just tons of this raw data and transform it after the fact, while the car’s not even driving into intelligence and IBM, is using spectrum storage to help automakers manage all this data. So it’s optimized for AI and machine learning, with industry-leading GPU, accelerated servers and IBM spectrum scales, software-defined storage, combined with groundbreaking performance and simplified deployment, so get the fast lane to insights into whatever field you’re in by learning more about data storage for AI and IBM storage Solutions for autonomous driving at the link below so thanks for watching guys, like just like check out our other videos and leave a comment with video suggestions and don’t forget to subscribe and follow too not this one. I mean this one, but but but also tech wiki, that the button below .