Hi, this is Wayne again with a topic “AI Takes the Wheel: Behind the Scenes at Indy Autonomous Challenge”.
Foreign we’re here at the Las Vegas Motor Speedway for a very special kind of race. Looking at these cars, you’ll notice that there is no human driver behind the wheel, because everything is being done with AI teams from around the world are going head to head for the chance to win a one million dollar cash prize. May the best AI win. Being the autonomous challenge is a competition among top research universities from around the world who program software to become basically an AI driver or robot driver.
That’S capable of piloting fully autonomous race cars at speeds in excess of 170 miles an hour. Our goal is not to replace human race car drivers. In fact, what we want to do with this technology is partner, with top racing series, whether it’s IndyCar or Formula One NASCAR, to bring some of these Technologies into human-driven race cars to allow them to go faster and safer.
So we have teams from from all around the world uh. We certainly have several from the United States. We also have teams from Germany from Italy, from Korea uh from the Middle East from Canada. Some teams are just one University One cars, others are a partnership of University.
Every team has the same vehicle. This is the same kind of car that human race car drivers train on the AI are training on the exact same Vehicles here, they’ve just unplugged the human driver and put in a Computing stack that is the same across all the cars to keep things Fair. Each team has the same exact Hardware donated by some of the biggest companies in the AI and Automotive space, including Bridgestone AWS Continental luminar d space and more. These companies get to test their gear at high speeds in an extreme racing conditions, which is hard to achieve anywhere other than a proper race track. What we have here today is the dalara av-21, which is a special purpose of full-scale race car. That’S been modified to be able to support our autonomous racing series we put in the front of the vehicle a set of lidars.
In addition, stereo cameras at the front fisheye cameras on the on both sides, and that gives us the ability to have a 360 degree picture of what’s going on around the vehicle. And then the last part of that equation is the radar units which is bouncing off of everything around us to race day. The teams get time on the track for testing and qualifying rounds our vehicles currently on the track. Normally they give us 15-20 minutes to test whatever one session is enough to fill one or two terabytes of data.
During these test runs teams are allowed to use a joystick or controller to make slight adjustments that might avoid costly crashes. They could knock them out of the competition, but even with this added precaution, accidents still happen. We had an unfortunate crash at Tom. You know their vehicle crashed into us as they were attempting to overtake our vehicle at around 16 miles per hour.
It’S just an unfortunate incident which you know for us. It’S racing it happens. Cindy’S team had to repair the significant damage to their vehicle in roughly 48 hours in order to qualify to race on the big day, we’re happy to say that you know, after the immense amount of repairs that were required of the Edwin, we were able to continue. You know just boarding over all of our software and between each of these sessions refine, improve and work on this software, because if you can make fast, accurate and correct decisions at 200 miles an hour, it’s a little easier to imagine doing it at 60 miles an Hour with race day, finally, here excitement is in the air there’s no joysticks or controllers allowed today. Once those cars leave, the starting line, AI is taking the wheel and one will be winning its creators, one million dollars once the cars leave the pits. The team has zero communication with the car and they really just have to sit back and watch and hope that their driver does the right thing.
Each AI driver has a different personality. That personality is really the reflection of the team that brought it to life. So some teams are more risk-taking. Some are more cautious. Some are better at overtaking. Others are better at top speed. Part of AI, That’s probably most unique about our program is in our perception system. A lot of the teams are using Radars and lidars we’re using all three radar lidar and cameras. It’S the ability to track or detect competitors cars – maybe just a little bit farther away, maybe a little more accurately by pulling all that together.
That we think gives us at least a bit of an edge AI racing Tech and mid pit RW at this level in an easy made on the entrance to the corner. It does need to complete the path Best Buy rule. A lot of restraints line on perception, stack and so perception is pretty much how the vehicle sees and observes you know the world around it. You know, I think, that’s one area where we do find ourselves really strong, again: yeah Racing’s running around 135 rw’s about 10 miles an hour faster, so they’re closing in making the pass on the bottom in the corner. This is actually really daring, looks like they might back off that pass for now, and maybe try again on that on the other on the back straightaway and again, it’s up to the algorithm to decide if this is too greater risk to undertake, and it looks like The car is actually off the pace a little bit.
It stopped tracking AI racing Tech won a battle for third place against mid pit RW, while reigning Champions. Poly move took home the top prize and a dramatic win over tomb, autonomous Motorsports outside open the gray stuff and around they go tomb, spins and poly move where the winning AI reached 180 miles per hour, setting a new world record for autonomous driving on a racetrack. So, what’s next for all this AI racing Tech, getting people comfortable to believe in or trust that Ai and autonomous technology could do something to make their life safer or or more efficient, for when they see a car go 150 170 miles an hour. I think intuitively they’re, realizing that AI is capable of doing something that only a small percentage of humans can do only the most elite race car drivers can handle those conditions. I believe that that will encourage people to perhaps say okay, I can trust this. Eight ass or this driver assistance technology when I’m driving on the highway and maybe someday, be willing to get into an autonomous vehicle. That’S traveling, 100 miles an hour from one point to another.
Oh next up, the Indie autonomous challenge is headed to Italy, where it will host a competition on the famous Monza F1 racing circuit in June, where the AI drivers will go beyond the oval race track facing twists, turns and obstacles more in line with what drivers deal With in the real world for miles an hour, overtaking each other and doing what professional human drivers do it’s important to remember the human beings behind the scenes making it all work? Do you want to see autonomous driving in your car? Let us know down in the comments and subscribe to CNET for the latest and greatest Tech news thanks so much for watching .