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Welcome to my github! 👋

I'm a computer vision engineer with expertise in SLAM, autonomous driving, and robotics software architecture.

I like working on:

🛣️ 3D maps: reconstruction, visualization, scaling

✨ lidar and point cloud data

💫 least squares optimizers

🗑️ cleaning up C++ code so that the reader gets warm tingly feelings

🥨 Lie theory libraries and learning how the 3D world works

My history:

🍎 [2022-now] I currently work on the computer vision algorithms team for the vision products group (VPG) @ apple

🚘 [2016-2022] previously I was a founding engineer @ nuro.ai, and built the mapping and localization stacks for self driving robots

☢️ [2015-2016] before that I was a PhD student @ berkeley AI research lab working on nuclear radiation mapping (I didn't finish...)

🚕 [2015-2016] I spent a few summers working on self driving cars @ waymo and google X

🤖 [2013-2015] I got my masters degree in robotics @ CMU, building real-time 3D maps with big lidar-equipped quadrotors

💧 [2009-2013] in undergrad I worked on building 3D maps of underwater caves in Malta for archaeologists

I'm:

👶 a new dad!

🍺 a beer snob

🥾 a LASHer

♟️ learning to play Chess

Erik Nelson's Projects

empty_package icon empty_package

Empty ROS package. Use this as a starting point for new packages.

gtsam icon gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

gtsam_ros icon gtsam_ros

Clones and installs gtsam as a ROS package. See https://collab.cc.gatech.edu/borg/gtsam for original authors and code information.

ndtmapper icon ndtmapper

An implementation of the Normalized Distance Transform 3D robotic mapping algorithm proposed by Saarinen, et al., ICRA 2013

particle_filter icon particle_filter

A particle filter implementation for lab 1 of Statistical Techniques in Robotics (CMU 16-831)

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