Si Lu

About Si Lu

Working on Autonomous Driving (HD mapping, localization) at NVIDIA. Graduating PhD…

Experience

1. Computer Vision Engineer - Automomous Vehicles

   NVIDIA

   Jun 2018 — Present

   Autonomous Vehicles: HD Map Generation • HD map fusion: design and implement lane boundary fusion. • HD map fusion: design and implement pole/sign/traffic lights fusion. • HD map emitting: implement the emitting of all fused map contents. • HD map rendering: construct the local layout for rendering and visualization. • HD map rendering: implement a graphics pipeline to render HD map contents. Autonomous Vehicles: Localization: • Localization: KPI tracking/visualizationand in Athena websites. • Localization: fast KPI computing in the cloud computing platform. • Localization: design/implement a high-accuracy camera-based localization • Localization: so far the first one to purly use low cost sensors (IMU, GPS.). • Localization: design/implemente core algorithm for lidar/radar localization

Education

• Portland State University

  Master of Science - MS, Computer Science

  2012 — 2015

• Tsinghua University

  Bachelor's degree, Mechaincs

  2005 — 2009

• Tsinghua University

  Master of Science (M.S.), Fluid Mechaincs

  2009 — 2012

• Portland State University

  Doctor of Philosophy (Ph.D.), Computer Science

  2012 — 2017

Skills

• C
• Matlab
• Fltk
• Microsoft Visual Studio C++
• Research
• Pytorch
• Image Based Rendering
• C++
• Openni
• 3d Reconstruction
• Virtual Reality
• Opencv
• Kinect Sdk
• Deep Learning
• Algorithms
• Machine Learning
• Opengl
• Programming
• Python
• Linux
• Image Processing
• Latex
• Depth Estimation
• Computer Vision