Vehicle Fuzzy Control

Liz Olson (University of Oregon), Adam Johnson (Virginia Commonwealth University)

Current localization techniques are either too expensive for the commercial availability of autonomous vehicles, or too complicated to be easily embedded into new technologies. Our research will generate code that explores the capabilities of a camera phone and GPS as the low-cost sensory for a cognitive autonomous testing vehicle under urban traffic conditions, while efficiently making use of the road’s current vision-based 
cues. This less-complex approach will also provide a module for future software development of mobile devices to be used as the sensors of autonomous vehicles in the future, making the technology more accessible. The software implements an intelligent, robust control system to accurately and safely operate the autonomous vehicle.