The Next Frontier of Big Data From LiDAR Workshop

December 12, 2019
Los Angeles, CA

An emerging new data source comes from so-called LiDAR (light detection and ranging), which is an optical remote sensing technology creating highly accurate 3D point cloud data sets. While in the past LiDAR data was rare and somewhat expensive, the arrival of autonomous cars has started to make LiDAR sensors and data pervasive and we are now witnessing an explosion. This data can, in contrast to one-dimensional (such as speech) or two-dimensional data (images), be much richer and offers new opportunities to advance both the limits of multi-modal data integration and the accuracy of state of the art machine learning, feature and object recognition etc. Early applications for these new opportunities are in the area of robotics, autonomous cars, augmented reality with applications in so many industries and disciplines ranging from archeology to environment. This workshop will highlight advances in LiDAR data processing, data integration, applications of deep learning to such point cloud data sets and discuss interesting use cases in vegetation management, environment and robotics.

Call for papers

We invite submissions of workshop proceedings papers including but not limited to the following topics:
    • Point cloud data processing and representation learning
    • LiDAR data fusion and processing technologies
    • Object recognition / detection through point cloud
    • Emerging technologies in remote sensing and mapping (e.g., photogrammetry)
    • LiDAR applications in autonomous driving, vegetation management, forestry etc

Important dates

  • Oct 20, 2019 [updated]: Due date for full workshop papers submission
  • Nov 1, 2019: Notification of paper acceptance to authors
  • Nov 20, 2019: Camera-ready of accepted papers
  • Dec 12, 2019: Workshop

Paper Submission

Please submit a full-length paper (up to 10 pages IEEE 2-column format) through the online submission system. All papers accepted for this workshop will be included in the Workshop Proceedings published by the IEEE Computer Society Press. Each submission will be peer reviewed by 3 Technical Community members. Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. Templates can be download below:

Program Chair

    • Wang Zhou, IBM Research (email:
    • Hendrik Hamann, IBM Research (email:

Organizing committee

    • Conrad Albrecht, IBM Research
    • Mathieu Bredif, Institut Geographique National
    • Qi Chen, University of Hawai'i
    • Pinliang Dong, University of North Texas
    • Chris Fisher, Colorado State University
    • Debra Laefer, New York University
    • Levente Klein, IBM Research
    • Jurij Paraszczak, New York University
    • Fabio Remondino, Fondazione Bruno Kessler