Argo AI collaborates with CMU, Georgia Tech researchers on self-driving cars |

Argo AI collaborates with CMU, Georgia Tech researchers on self-driving cars

Aaron Aupperlee
Argo AI
Ford's investment in February 2017 of $1 billion over five years in the Pittsburgh self-driving car startup Argo AI sparked a record-breaking year of investment for Pittsburgh-area tech companies. (Photo from Argo AI)
Argo AI
Deva Ramanan, left, and Simon Lucey, are researchers at Carnegie Mellon University's Robotics Institute. (Photo from Argo AI)

Argo AI, a Pittsburgh-based startup developing self-driving technology for Ford, will team up with researchers from Carnegie Mellon University and Georgia Tech to work on computer vision and machine learning technology.

Deva Ramanan and Simon Lucey from CMU and James Hays from Georgia Tech will join the Argo team, CEO Bryan Salesky wrote Tuesday in a post on Medium .

“These research scientists are playing an instrumental role in developing the core technologies that will allow self-driving cars both to see and understand the world around them, and to predict road user behavior,” Salesky wrote.

The researchers will remain on campus but spend time in Argo offices on a regular basis. They will continue to teach and maintain their work and research at their universities. Argo sees the collaboration as a way to link its work with academic research.

The researchers will also benefit from Argo funding set aside to support university research on self-driving cars, Salesky wrote.

Ford announced this year it will give Argo AI $1 billion over the next five years to develop self-driving technology for the automaker.

Ramanan and Lucey are at CMU’s Robotics Institute. Lucey leads the institute’s CI2CV Computer Vision Lab, where he trains computers to read facial expressions and body language. Ramanan’s work focuses on visual recognition and training computer programs to identify people by looking at body parts.

“Making sure self-driving cars can accurately identify people in all of their different shapes, sizes and positions is an essential step to establishing their safety and reliability,” Ramanan said in Salesky’s post.

Hays received his doctorate from CMU. At Georgia Tech, he uses data and crowdsourcing to help computers better understand scenes and images. He said working with Argo will allow him to design algorithms on a larger scale than in his previous research and use real-world data.

Aaron Aupperlee is a Tribune-Review staff writer. Reach him at [email protected], 412-336-8448 or via Twitter @tinynotebook.

TribLIVE commenting policy

You are solely responsible for your comments and by using you agree to our Terms of Service.

We moderate comments. Our goal is to provide substantive commentary for a general readership. By screening submissions, we provide a space where readers can share intelligent and informed commentary that enhances the quality of our news and information.

While most comments will be posted if they are on-topic and not abusive, moderating decisions are subjective. We will make them as carefully and consistently as we can. Because of the volume of reader comments, we cannot review individual moderation decisions with readers.

We value thoughtful comments representing a range of views that make their point quickly and politely. We make an effort to protect discussions from repeated comments either by the same reader or different readers

We follow the same standards for taste as the daily newspaper. A few things we won't tolerate: personal attacks, obscenity, vulgarity, profanity (including expletives and letters followed by dashes), commercial promotion, impersonations, incoherence, proselytizing and SHOUTING. Don't include URLs to Web sites.

We do not edit comments. They are either approved or deleted. We reserve the right to edit a comment that is quoted or excerpted in an article. In this case, we may fix spelling and punctuation.

We welcome strong opinions and criticism of our work, but we don't want comments to become bogged down with discussions of our policies and we will moderate accordingly.

We appreciate it when readers and people quoted in articles or blog posts point out errors of fact or emphasis and will investigate all assertions. But these suggestions should be sent via e-mail. To avoid distracting other readers, we won't publish comments that suggest a correction. Instead, corrections will be made in a blog post or in an article.