spar 2015 - civil maps presentation by sravan puttagunta

SRAVAN PUTTAGUNTA

CEO, CIVIL MAPS

HTTP://CIVILMAPS.COM

A Scalable Approach to Point Cloud Processing with Deep Learning

What and who is behind Civil Maps?

$2.4 Billion $3.5 Billion $3.1 Billion

Our Office

National Energy Research Scientific Computing Center. Fastest super computer in the year 2000

Our Mission

Teach computers to make maps from 3D point cloud data.

Point Cloud Summary

A point cloud file is the output collected from a complete LiDAR system

LiDAR Sensor (laser scanning)

Inertial Measurement Unit (geo-positioning)

Hard Drive (storage of data)

Popular formats

PTS

LAS/LAZ

Point Cloud Data

Intro to Deep Learning

Deep Learning is a form of machine learning where researchers train a computer to find patterns

Thought leaders in Deep Learning

Map using Deep Learning

A B C

4 Example Feature Primitives for A

Corner detection X distribution

Y distribution

Z distribution

Z-frequency analysis

Reflectivity analysis

Spatial consistency

4 Example Feature Primitives for B

Corner detection X distribution

Y distribution

Z distribution

Z-frequency analysis

Reflectivity analysis

Spatial consistency

4 Example Feature Primitives for C

Corner detection X distribution

Y distribution

Z distribution

Z-frequency analysis

Reflectivity analysis

Spatial consistency

Train a Neural Network

1) Filter by Height

2) Filter by Reflectivity

3) Find the corners

4) Check spatial consistency

Deep Learning = Human Contextualization

Humans Computers

Querying with a Neural Network

Query w/ Neural Network Result Set

Deep Learning Demo

Mark the centerlines every 2 meters

Find all the poles

Mark the overhead electrical wires every meters

Deep Learning Demo

Manual vs. Deep Learning (X vs. Y)

Manual vs. Deep Learning (X vs. Z)

Comparative Analysis

Technology Affordability Accuracy Speed Score

Single Person 5 4 1 10

Multiple Person 1 4 1 6

Automated Software 3 2 2 7

Custom Algorithms 2 2 2 6

Deep Learning 3 5 5 13

Highest score is most feasible

The Civil Maps System (Intelligence)

• Database of 500 feature primitives

• Combinations of features 3-4 layers deep, 2 million algorithms generated per day

• Scoring algorithm • High scores survive • Low scores blacklisted

The Civil Maps System (User Interface)

Civil Maps Customers

Cloud Storage

1) Upload Point Cloud Data

2) Upload sample map for small segment

3) Deep Learning

4) Map Layers Uploaded to Visualizer

5) Report is ready for export

The Ask : Join Us

Users benefit as Civil Maps becomes smarter

High volume reduces costs for everyone

Our customers & partners have an unfair advantage

Free visualization tools

Processing fees based on number of assets per km

Contact Us

Email : info@civilmaps.com

Phone : +1 (510) 698-APIS

Coupon Code : SPAR2015_USER