David Wilkie

last name at cs.unc.edu
334 Sitterson Hall
Chapel Hill, NC 27599-3175
tel: (919) 962-1835


Flow Reconstruction for Data-Driven Traffic Animation
David Wilkie, Jason Sewall, Ming C. Lin
ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2013
(Project page and paper)
Self-Aware Traffic Route Planning
David Wilkie, Jur Van den Berg, Ming C. Lin, Dinesh Manocha
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
(Project page and paper)
Transforming GIS Data into Functional Road Models for Large-Scale Traffic Simulation
David Wilkie, Jason Sewall, Ming C. Lin
IEEE Transactions on Visualization and Computer Graphics, 2011
(Project page and paper)
Continuum Traffic Simulation
Jason Sewall, David Wilkie, Paul Merrell, Ming C. Lin
Proceedings of Eurographics 2010
paper and video
Generalized Velocity Obstacles
David Wilkie, Jur van den Berg, Dinesh Manocha
International Conference on Intelligent Robots and Systems, 2009
paper and video
A Case Study in System-Level Physics-Based Simulation of a Bio-Mimetic Robot
Rich Primerano, David Wilkie, William C. Regli
IEEE Transactions on Automation Science and Engineering
Toward a Multi-Disciplinary Model for Bio-Robotic Systems
Rich Primerano, David Wilkie, William C. Regli
IEEE International Conference on Robotics and Automation, May 19-23, 2008, Pasadena, CA
paper video 1 video 2
A Simulation Framework for Robotic System Design
David Wilkie, Rich Primerano, William C. Regli
ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 4-7 September, 2007, Las Vegas, NV

Other Projects

Agent Based Intersection Traffic Simulation
As part of a physically-based modeling course, I created an agent based traffic simulation that allows cars to move freely in 2D.
paper video
Roomba Search and Docking
As part of a robotics course, I created a program to allow a roomba to discover its power station and dock with it.
FAA Remote-Controlled Crack Monitoring (RCCM) Video System
The RCCM system is a mechatronic system with multiple track mounted cameras controlled by a computer program. After RCCM's creation as a student project, I joined the team and helped finish the system by developing the software to capture and compress video and still images as well as develop a method to automatically focus the cameras as they move.