# Depth vision for autonomous navigation
the2nake, joshua, edison, ryan 10 min read
Most of my work for U-M ARV until March 2026. We used, among other techniques, RANSAC and point clouds to segment obstacles from the ground.
Hi, I go by the2nake online (a tragic typo).
My interests include control theory, embedded programming, and mechatronic design. Check out my featured projects!
I’m currently studying Robotics at the University of Michigan—Ann Arbor.
Most of my work for U-M ARV until March 2026. We used, among other techniques, RANSAC and point clouds to segment obstacles from the ground.
An extension on the A* pathfinding algorithm that creates less complex paths by skipping certain nodes using a line-of-sight check with line rasterisation.
Hash grid data structure description and implementation concerns. It greatly improves collision detection efficiency using a divide-and-conquer approach.