Share Email Print
cover

Proceedings Paper

Performance evaluation of cost-based vs. fuzzy-logic-based prediction approaches in PRIDE
Author(s): Z. Kootbally; C. Schlenoff; R. Madhavan; S. Foufou
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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 the future location of autonomous vehicles during on-road driving. In this paper, we describe two different approaches to compute long-term predictions (on the order of seconds into the future) within PRIDE. The first is a cost-based approach that uses a discretized set of vehicle motions and costs associated with states and actions to compute probabilities of vehicle motion. The cost-based approach is the first prediction approach we have been using within PRIDE. The second is a fuzzy-logic-based approach that deals with the pervasive presence of uncertainty in the environment to negotiate complex traffic situations. Using the high-fidelity physics-based framework for the Unified System for Automation and Robot Simulation (USARSim), we will compare the performance of the two approaches in different driving situations at traffic intersections. Consequently, we will show how the two approaches complement each other and how their combination performs better than the cost-based approach only.

Paper Details

Date Published: 16 April 2008
PDF: 12 pages
Proc. SPIE 6962, Unmanned Systems Technology X, 69621Q (16 April 2008); doi: 10.1117/12.779601
Show Author Affiliations
Z. Kootbally, National Institute of Standards and Technology (United States)
C. Schlenoff, National Institute of Standards and Technology (United States)
R. Madhavan, National Institute of Standards and Technology (United States)
S. Foufou, National Institute of Standards and Technology (United States)


Published in SPIE Proceedings Vol. 6962:
Unmanned Systems Technology X
Grant R. Gerhart; Douglas W. Gage; Charles M. Shoemaker, Editor(s)

© SPIE. Terms of Use
Back to Top