OSINT2022

Vehicle location identification through lidar points

What would a hackathon be without true hacking skills?

Tools / Technology

So how did we do it?

Python all the way!

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Numpy

Open3d

Pypcd

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And 2 awesome repos : pcd2bin & PCD-Tools

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OSINT: Google dorks and Map

Location Identification

Open Source Information (OSINT)

From hypothesis to location and time pinpoint

Location: Parks Road

Landmarks Identified: Computer Science Department, University Park

Timeline: circa 2016-2017

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Lidar plot on University Park provides distinguishable construction barriers, and Google Street photos confirm this hypothesis

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This road seems familiar… Fences and points of laser on tree-like structures.Let's dive a little bit.

This definitely looks like an entrance to an open area

Those two buildings are looking quite familiar…

This happens when Computer Science Students have photographic memory of distinguishable buildings and have a good taste on Architecture

Is that a big wall? Of course not… That’s Keble College

View #1

View #2

Some new features are beginning to appear and become a challenge!

Timeline Identification

The greatest challenge

This was the biggest challenge of pinpointing the location and the timeline… What is this big area that seems to have cars parked? It was supposed to be a park…

Video Timeline

Driving along

Birds Eye view of the drive

Key takeaways

We are almost done

So why did we bother?

We are Computer Science Students working in the CyberSec domain and attending the MSc in Software and Systems Security in University of Oxford

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The brave new world we live in has an abundance of data within data; metadata…

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Extracting location of autonomous vehicles can be quite useful in forensics and intelligence, to locate and establish the route of the car

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Also knowing the urban environment we are living in… HELPED A LOT!

THE END!