Anthill Inside 2017

On theory and concepts in Machine Learning, Deep Learning and Artificial Intelligence. Formerly Deep Learning Conf.

Object Classification in 3D: Working with LiDAR point clouds

Submitted by Akbar Ladak (@bluplaneter) on Wednesday, 7 June 2017

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Technical level

Intermediate

Section

Crisp talk

Status

Submitted

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Total votes:  +4

Abstract

LiDAR sensors are rapidly becoming mainstream not just to detect obstacles (as in self driving cars), but also to identify object classes for mapping, disaster relief and other use cases.

I will talk about our experience in developing a high accuracy object classification algorithm for LiDAR point clouds that approached human detection using Pattern Recognition over a biased training dataset. I will also touch upon our work using Gain Adversarial Neural Networks (GAAN) to extend the applicability of the algorithm over a wider dataset with minimal effect on identification accuracy.

Outline

Introduction [3 min]

  • What is LiDAR?
  • What are LiDAR point clouds?
  • What is the size of typical LiDAR datasets that we encountered?

Why ML is not a magic bullet [5 min]

  • Getting our hands around scale
  • Data Abstraction & Dimensionality Reduction
  • “Knowledge” & Pattern Recognition to the rescue

Extending the algorithm [7 min]

  • The need to extend the algorithm
  • Introducing Machine Learning
  • Using GAAN to train algorithm over diverse datasets

Requirements

A healthy curiosity / scepticism about Machine Learning & the hype around it.

Speaker bio

Akbar Ladak has built technical & business solutions using Computer Vision & Machine Learning at Honeywell & Wipro for over a decade. He is currently the Founder & CEO at Kaaenaat, which builds terrestrial & aerial mapping solutions using images & LiDAR data.

Slides

https://www.slideshare.net/aladak/anthill-inside2017talkproposal

Preview video

https://vimeo.com/221072595

Comments

  • 1
    Zainab Bawa (@zainabbawa) Reviewer a year ago

    Please submit a preview video explaining what this talk is about and key takeaways. Also, draft slides. By 10 June.

  • 1
    Akbar Ladak (@bluplaneter) Proposer a year ago

    I’ve provided a preview video of the talk and will upload the slides shortly.

  • 1
    Akbar Ladak (@bluplaneter) Proposer a year ago

    I’ve updated the proposal with a draft slide deck. I’ll add more details over the next few days.

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