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宋适宇

Principal Architect at Baidu ADT

Baidu USA

Biography

I'm one of the founding team members of the Baidu Autonomous Driving Car project. I joined Baidu in 2014. I'm the principal architect of Baidu Autonomous Driving Technology Department (ADT) now. Since Jan. 2016, I am the tech lead of the map and localization team at Baidu ADT. Prior to joining Baidu, I was a research scientist in the media analysis group in NEC Labs America, Cupertino CA.

My research interests include Computer Vision, Robotics, Machine Learning, Simultaneous Localization and Mapping (SLAM).

Interests

  • Computer Vision
  • Machine Learning
  • Simultaneous Localization and Mapping (SLAM)
  • Autonomous Driving

Education

  • Ph.D. in Electrical and Computer Engineering

    University of California, San Diego

  • M.S. in Electrical and Computer Engineering

    University of California, San Diego

  • BSc in Electrical Engineering

    Tsinghua University

Accomplish­ments

The 20th China Patent Award - Silver Award

Patent: ZL201610348334.7 无人车、无人车定位方法、装置和系统,百度在线网络技术(北京)有限公司,宋适宇、李文博、张天雷

Recent Publications

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Recent & Upcoming Talks

Towards Learning-based Localization for Autonomous Driving (Chinese)

We make the introduction of several key techniques in our self-driving car, including a multi-sensor fusion based localization system, …

Inside Apollo: Multisensor Fusion Based Localization

We make a brief introduction of the techniques behind our multi-sensor fusion based localization system. We present a robust and …

Towards Learning-based Localization for Autonomous Driving

We present a robust and precise localization system that achieves centimeter-level localization accuracy in varied city scenes. Our …

Localization and HD Map at Baidu IDG

We make brief introduction of HD Map services at Baidu Apollo platform and the techniques behind our multi-sensor fusion based …

HD Map, Localization and Self-Driving Car

We make brief introduction of the development history of Baidu self-driving car, Baidu Apollo platform for developers, the techniques …

Projects

Multi-sensor Fusion based Localization System

A robust and precise vehicle localization system that achieves centimeter-level accuracy by adaptively fusing information from multiple …

Monocular Visual Odometry

A real-time monocular visual odometry system that corrects for scale drift using a novel cue combination framework for ground plane …

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