Ed Schmerling  

 



  ![](/sites/default/files/person/PXL_20210328_012931501.PORTRAIT-EDIT.jpg)

  

 Ed Schmerling is a Research Scientist in the Autonomous Vehicle Research Group at NVIDIA. His main research interests are in the modeling and development of intelligent data-driven agents through advances in generative modeling, uncertainty quantification, and optimal control with applications in simulation, behavior planning, and safety assurance. Prior to joining NVIDIA, he served as the Associate Director of the Autonomous Systems Laboratory at Stanford University, and has previously worked as an AV researcher at Waymo. He received a Ph.D. at the Institute for Computational and Mathematical Engineering (ICME) at Stanford in 2019.



   Research Area(s)

[Autonomous Vehicles](/index.php/research-area/autonomous-vehicles)

[Robotics](/index.php/research-area/robotics)

 

 

  

 Main Field of Interest

[Autonomous Vehicles](/index.php/research-area/autonomous-vehicles)

 

  

 Google Scholar

<https://scholar.google.com/citations?user=b4Kj6MIAAAAJ>

 

  

 

 

 



 ### Publications

 

### 2023 

[Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition](/publication/2023-06_refining-obstacle-perception-safety-zones-maneuver-based-decomposition)

Sever Topan, [Yuxiao Chen](/person/yuxiao-chen), [Ed Schmerling](/person/ed-schmerling), [Karen Leung](/person/karen-leung), Jonas Nilsson, Michael Cox, [Marco Pavone](/person/marco-pavone)



[IEEE Intelligent Vehicles Symposium (IV)](https://2023.ieee-iv.org/)









[Learning Autonomous Vehicle Safety Concepts from Demonstrations](/publication/2023-05_learning-autonomous-vehicle-safety-concepts-demonstrations)

[Karen Leung](/person/karen-leung), [Sushant Veer](/person/sushant-veer), [Edward Schmerling](/person/ed-schmerling), [Marco Pavone](/person/marco-pavone)



[American Control Conference (ACC) 2023](https://acc2023.a2c2.org/)









### 2022 

[Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation](/publication/2022-06_interaction-dynamics-aware-perception-zones-obstacle-detection-safety)

Sever Topan, [Karen Leung](/person/karen-leung), [Yuxiao Chen](/person/yuxiao-chen), Pritish Tupekar, [Edward Schmerling](/person/ed-schmerling), Jonas Nilsson, Michael Cox, [Marco Pavone](/person/marco-pavone)



[IEEE Intelligent Vehicles Symposium (IV) 2022](https://iv2022.com/)