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Search Publications by: Zeid Kootbally (Fed)

Displaying 26 - 28 of 28

Performance Evaluation of Cost-Based vs. Fuzzy-Logic-Based Prediction Approaches in PRIDE

March 20, 2008

Author(s)

Zeid Kootbally, Craig I. Schlenoff, Rajmohan Madhavan, Sebti Foufou

PRIDE (PRediction In Dynamic Environments) is a hierarchical multi-resolutional framework for moving object prediction. PRIDE incorporates multiple prediction algorithms into a single, unifying framework. To date, we have applied this framework to predict

A Brief History of PRIDE

December 28, 2007

Author(s)

Zeid Kootbally, Craig I. Schlenoff, Rajmohan Madhavan

PRIDE (PRediction In Dynamic Environments) is a framework that provides an autonomous vehicle's planning system with information that it needs to perform path planning in the presence of moving objects. The underlying concept is based upon a multi

Driver Aggressivity Analysis Within the Prediction In Dynamic Environments (PRIDE) Framework

October 19, 2007

Author(s)

Craig I. Schlenoff, Zeid Kootbally, Rajmohan Madhavan

PRIDE is a hierarchical multiresolutional framework for moving object prediction that incorporates multiple prediction algorithms into a single, unifying framework. PRIDE is based upon the 4D/RCS (Real-time Control System) reference model architecture and