University of Waterloo students race driverless car at Indianapolis Motor Speedway

The Indianapolis Motor Speedway saw a different kind of race car take to the track this past weekend.

University of Waterloo students Brian Mao and Ben Zhangwere part of a team that competedin theIndy Autonomous Challengeon Saturday for a top prize of $1 million US.

The challenge wasto advance and pushautonomous vehicle technology to the next level.

"And what better way to do that than to push the limits and drive at speeds much faster than any regularcar," Mao toldCBC News from the Indianapolis Motor Speedway in an interview before Saturday's race.

"That would force control design or path-finder algorithms to be that much more robust, that much more accurate and that much more competitively efficient."

Mao and Zhang teamed up with students from schools like the Massachusetts Institute of Technology, the University of Pittsburgh and the Rochester Institute of Technology.

There were eight other teams from around the globe taking part in the race, eachtasked with modifying aDallara AV-21 race car. For the most part, the hardware was the same in each team's car.

"We make minor tweaks on where to place the ethernetcables and what hardware we decide to use as the interface between the computer and the car," explained Zhang, who is amaster's student in electrical and computer engineering.

"What distinguishes each team is the software stack that's running behind the car, what algorithms are you using for each part that's required to achieve a fully autonomous vehicle," added Mao, a master's student in applied mathematics.

Zhang said the driver's seat was replaced with a computer system that is made up of different sensors and radars and cameras to allow the vehicle to drive by itself.

The price tag on Zhang's and Mao'steamrace car was about $1 million US, and it had the ability to reach top speeds of200 km/h.

'Feels amazing'

The competition wasfierce.Zhang said other teams have dedicatedresearch labs for this project, not to mentionmore time.

But Zhang and Mao said a great asset to theirteam is the diversity ofengineering, computer and mathematics background.

"We have all sorts of different ideas that could blend together," Mao said. "The diversity is what distinguishes us."

Mao and Zhang said after pouring many hours working and practisingwith a simulator into this race, actually setting foot on theIndianapolis Motor Speedway felt "amazing."

"Seeing the real thing, in person, is completely different. This arena is huge. The videos do not do it justice," Mao said.

"It's such a fulfilling experience seeing a physical car drive around in front of your own eyes rather than just a bunch of pixels on a simulation."

Mao told CBC K-W on Monday that theircar was unable to finish the race due to a GPS issue.

"Unfortunately, our team crashed into a wall towardthe end of the first lap resulting in a 7th place overall finish," he said in an email. "There were a mix of emotions within the team, but we've definitely learned a lot from this. I'm sure that our team will come out stronger in the future."

The TUM Autonomous Motorsport from the Technical University of Munich won the challenge on Saturday and claimed the grand prize after their car did the two-lap raceat an average speed of 219 km/h.

Zhang said he plans on taking a short break before hetackles otherprojects they have in the works. Mao said he is hoping to pursuea career in autonomous vehicles.