Home — Collision Avoidance @AU


Welcome to the project site of Tyler Young, Thomas Crescenzi, and Andrew Kaizer.

This site chronicles our work on collision avoidance in unmanned aerial vehicles, an 8-week project hosted by Auburn University.

Our project is funded by the National Science Foundation as a Research Experience for Undergraduates (REU), supporting active research participation by undergraduate students in a variety of fields.

The Multiplex EasyStar RC aircraft trainer, used as the base for the Auburn University Unmanned Aerial Vehicle Robot Operating System (AU UAV ROS) project.

Recent Blog Posts

  • Predicting Turns The plane prediction itself was basically finished in whole by week 2 aside from one minor thing... prediction of how a plane will turn. Part of the reason that it ...
    Posted Jul 2, 2011, 7:30 PM by Thomas Crescenzi
  • The Curious Case of the Optimally Suboptimal Solution: Part Five <--Cross Posted at Copious Computation-->This is the fifth in a series of five posts about collision avoidance and optimality with the A* algorithm.Discuss basic foundations of the problem ...
    Posted Jun 27, 2011, 1:30 PM by Andrew Kaizer
  • Update on Pathfinding On Friday we made a few updates to the way that the planes are predicted which resulted in much better paths. Originally planes were always predicted to their final destination ...
    Posted Jun 21, 2011, 7:54 PM by Thomas Crescenzi
  • Appreciating Sparsity We had a problem. Creating a best cost grid took a long time. Not too long, mind you--we could still create and search around 15 grids per second--but ...
    Posted Jun 20, 2011, 9:59 AM by Tyler Young
Showing posts 1 - 4 of 19. View more »