This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
As computing systems of all types grow in power and complexity, it is common to want to simultaneously execute processes with different timeliness constraints. Many systems use CP...
This study focuses on determining a procedure to select effective negative examples for development of improved Support Vector Machine (SVM) based speaker recognition. Selection o...
Jun-Won Suh, Yun Lei, Wooil Kim, John H. L. Hansen
Abstract. We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogen...
Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian ...
This paper discusses how we integrated our 3D car tracking approach with the lane following module RALPH on the Navlab autonomous vehicles, obtaining a hybrid vision system that t...