Eric P. Preyss

Allen Institute for Artificial Intelligence

Papers

Total Citations

H-Index

About

Eric P. Preyss is a pioneering figure in autonomous vehicle navigation, best known for his foundational work in multilevel path planning. His most-cited paper, "Multilevel Path Planning For Autonomous Vehicles" (1984), introduced a hierarchical system that integrates mission-level, long-range, and local planning, combining digital map data with real-time sensor inputs. This early framework, which has garnered 13 citations, laid critical groundwork for modern autonomous navigation by demonstrating how to balance global route optimization with local obstacle avoidance. Preyss’s contributions were notably implemented in the Autonomous Land Vehicle (ALV) project, one of the first large-scale efforts to develop self-driving ground vehicles. His work remains a touchstone for researchers in robotics and autonomous systems, illustrating the enduring challenge of coordinating multiple planning layers for safe, efficient vehicle control.