Learning How to Drive in Blind Intersections from Human Data

In this paper we present a method to learn how to drive in different types of blind intersections using expert driving data. We cluster different intersections based on the velocity of how drivers approach them, and train a linear SVM classifier for each class of intersection. Through clustering we...

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Bibliographic Details
Main Authors: Sama, Kyle, Morales, Yoichi, Akai, Naoki, Takeuchi, Eijiro, Takeda, Kazuya
Format: Conference Proceeding
Language:eng ; jpn
Subjects:
autonomous driving
clustering
learning
Online Access:Request full text
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