Andi Zang

*Andy Zhang please!!!

Researcher, HERE North America
PhD student, Northwestern University


I am currently focusing on LiDAR point cloud processing and computer vision for understanding/modeling High Definition Map (HD Map), autonomous driving and other related applications.

What's New
My bird collection page has been uploaded! Click here to see more...
Building the dataset webpage...
Selected Projects
"Lane Boundary Extraction from Satellite Imagery", AUTONOMOUSGIS'17 (coming soon)
"Accurate Vehicle Self-Localization in High Definition Map Dataset", AUTONOMOUSGIS'17 (coming soon)
Lane Boundary Geometry Automation from LiDAR Point Cloud, patent pending, 2016
Deep Lane Marking, "Fusion of Color Images and LiDAR Data for Lane Classification", SIGSPATIAL'15

Education

  • Doctor of Philosophy student in Computer Science, 2016 -- ?

    Northwestern University, Evanston, IL

  • Master of Science in Computer Science, 2014

    Illinois Institute of Technology, Chicago, IL

  • Bachelor of Engineer in Telecommunications Engineering, 2012

    Beijing University of Posts & Telecommunications, Beijing, China


Service

  • Challenge Master:
    • Grand Challenge, ACM Multimedia (ACM MM 25), 2017
    • University Grand Challenge, 23rd World Congress on Intelligent Transportation Systems, 2016
  • Reviewer:
    • IEEE Winter Conference on Applications of Computer Vision 2016 (WACV 2016)
    • IEEE Winter Conference on Applications of Computer Vision 2015 (WACV 2015)
    • GeoInformatica, Journal, Springer
  • Editor:
    • The 7th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2014
  • Publicity and Registration Chair:
    • The 8th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2015

Experience

  • Research Intern, Highly Automated Driving (HAD), HERE North America, 2017
  • Researcher, RCP, HERE North America, 2015 -- 2016
  • Researcher, Nokia Technologies, 2015
  • Research Aide, Mathematics and Computer Science Division, Argonne National Laboratory, 2014
  • Research Intern, Smart Media Department, Samsung R&D Department, 2012
  • Research Intern, Chinese Academy of Science, 2011

Publications

  • A. Zang, R. Xu, Z. Li, D. Doria. "Lane Boundary Extraction from Satellite Imagery". ACM AutonomousGIS 2017. Redondo Beach, CA. November, 2017.
  • A. Zang, Z. Li, D. Doria, G. Trajcevski. "Accurate Vehicle Self-Localization in High Definition Map Dataset". ACM AutonomousGIS 2017. Redondo Beach, CA. November, 2017.
  • A. Zang, X. Chen, G. Trajcevski. "High-Definition Digital Elevation Model System (Vision Paper)". ACM SSDBM 2017. Chicago, IL. June, 2017.
  • A. Zang, X. Chen, G. Trajcevski. "DTM Generation using LiDAR Ground Points". ACM UrbanGIS 2015. Seattle, WA. November, 2015.
  • X. Gu, A. Zang, X. Huang, X. Chen. "Fusion of Color Images and LiDAR Data for Lane Classification". ACM SIGSPATIAL 2015. Seattle, WA. November, 2015.
  • A. Zang, X. Zhang, G. Agam, X. Chen. "Learning Based Roof Style Classification in 2D Satellite Images". SPIE.DSS 2015. Baltimore, MD. April, 2015.
  • X. Zhang, Y. Fu, A. Zang, Lm Sigal, G. Agam. "Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder". arXiv:1503.03163v1 . March, 2015.
  • X. Zhang, A. Zang, G. Agam, and X. Chen. Learning from synthetic models for roof style classification in point clouds. ACM SIGSPATIAL 2014. Dallas, TX. November, 2014.


Patents

  • Fusion of RGB images and LiDAR data for lane classification. US Patent 9,710,714.
  • Method and apparatus for determining a building location based on a building image. US Patent 9,418,446.
  • Method and apparatus for roof type classification and reconstruction based on two dimensional aerial images. US Patent 9,384,398.
  • METHOD AND APPARATUS FOR CONSTRUCTING A DIGITAL ELEVATION MODEL UTILIZING GROUND POINTS CAPTURED BY GROUND-BASED LiDAR. US Patent App. 14/754,629.
  • Method, apparatus and computer program product for generating unobstructed object views. US Patent App. 14/587,892.
  • ...

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