Get to Know Uber ATG at ICCV, CoRL, and IROS 2019

Raquel Urtasun
6 min readadvanced
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Overview

The article discusses Uber ATG's participation in three major conferences in 2019: ICCV, CoRL, and IROS. It highlights their commitment to advancing self-driving technology through research publications and presentations at these events.

What You'll Learn

1

How to engage with Uber ATG researchers at major conferences

2

Why collaboration between industry and academia is crucial for self-driving research

3

When to apply new research findings in self-driving technology

Key Questions Answered

What are the key conferences Uber ATG participated in during 2019?
Uber ATG participated in the International Conference on Computer Vision (ICCV), the Conference on Robot Learning (CoRL), and the Intelligent Robots and Systems (IROS) conference in 2019. They presented multiple research papers and engaged with the community through workshops and discussions.
What research topics did Uber ATG present at ICCV 2019?
Uber ATG presented five publications at ICCV 2019, focusing on topics such as lane topology mapping, deep stereo image compression, and video instance segmentation. These presentations highlight their advancements in self-driving technology and machine learning applications.
Who is Raquel Urtasun and what role did she play at these conferences?
Raquel Urtasun is the Chief Scientist at Uber ATG and Head of R&D. She gave four talks at ICCV 2019, showcasing the latest research from Uber ATG and emphasizing the importance of their work in the self-driving car industry.

Key Actionable Insights

1
Engage with researchers at conferences to gain insights into cutting-edge technology.
Attending events like ICCV, CoRL, and IROS allows you to interact with leading experts, ask questions, and understand the latest advancements in self-driving technology.
2
Stay updated on Uber ATG's research publications for practical applications in self-driving cars.
Following their work can provide valuable knowledge that can be applied in real-world scenarios, especially for those involved in autonomous vehicle development.