Case Study
Monday, June 30
11:00 AM - 11:25 AM
Live in San Francisco
Less Details
In this talk Dr. Djuric discussed the long-range challenges AVs face on highways, such as detection of shoulder or rear vehicles, that need to be properly handled to ensure smooth operations of automated trucks. He gives an overview of various situations that the AVs can encounter, and explores advanced long-range detection technologies that improve situational awareness and ensure reliable and safe AD systems.
Nemanja Djuric is a Principal Engineer and Tech Lead Manager at Aurora, for the past 8.5 years working on motion prediction, object detection, and other technologies supporting self-driving vehicles. Prior to ATG he worked as a research scientist at Yahoo Labs, which he joined after obtaining his Ph.D. in Machine Learning and Data Mining at Temple University.
The Pop in Your Job: What drives you? Why do you love your job?
We are working on new technologies that will fundamentally improve the way we live and move, and that by itself is a great motivator to come to work energized and ready to tackle the next challenge that comes your way. Coupled with truly exceptional and hard-working colleagues, as well as with the leadership that understands the problem inside out and what needs to be done to get to the final product, one feels supported and challenged at the same time which is a great place to be at. It has been amazing to experience the journey that brought us to where we are today, with self-driving vehicles becoming a more common sight on both highways and city roads, and I am looking forward to seeing what the future holds.