Min Sun, National Tsing Hua University: Assessing Risk and Adapting Changes on the Road
2017 Invited Talk
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Workshop: ICML Workshop on Machine Learning for Autonomous Vehicles 2017
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Workshop: ICML Workshop on Machine Learning for Autonomous Vehicles 2017
Abstract
It is critical for a self-driving car in the wild to assess risk and adapt to changes on the road. In this talk, we will first go over our proposed accident anticipation method which is tested on a large dataset consisting of real-world accident videos. Then, we will present our latest ICCV paper about how to adapt a semantic segmentation model across 4 cities in three continents.
Bio: Min Sun is an assistant professor at National Tsing Hua University in Taiwan. Before that, he was a postdoctoral researcher at Washington University in Seattle and he graduated from the University of Michigan with a Ph.D. degree in EE: System. He also won the best paper award of 3dRR in 2007 and best paper award of CVGIP in 2015 and 2016.
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