Tae Eun Choe

Tae Eun Choe is a distinguished engineer at NVIDIA. He earned his PhD in Computer Science at University of Southern California in 2007. He joined ObjectVideo and led multiple projects such as Automatic Scene Understanding and Mathematics of Sensing, Exploitation, and Execution. In 2016, he moved to Tesla, developing and deploying an online calibration algorithm and perception neural networks. In 2017, he led a perception team at Apollo, the open autonomous driving platform under development by Baidu USA. Since 2019, he has been working on improving perception of autonomous driving using synthetic and real data at NVIDIA.
Tae Eun Choe

Posts by Tae Eun Choe

Using Synthetic Data to Address Novel Viewpoints for AV Perception
Simulation / Modeling / Design Nov 13, 2023

Using Synthetic Data to Address Novel Viewpoints for Autonomous Vehicle Perception

Autonomous vehicles (AV) come in all shapes and sizes, ranging from small passenger cars to multi-axle semi-trucks. However, a perception algorithm deployed on... 7 MIN READ
Simulation / Modeling / Design May 18, 2023

Bringing Far-Field Objects into Focus with Synthetic Data for Camera-Based AV Perception

Detecting far-field objects, such as vehicles that are more than 100 m away, is fundamental for automated driving systems to maneuver safely while operating on... 7 MIN READ