Route and Stopping Intent Prediction at Intersections From Car Fleet Data

Justus Jordan
Justus Jordan
Felix Klanner
Felix Klanner

IEEE Transactions on Intelligent Vehicles, pp. 177-186, 2016.

Cited by: 3|Bibtex|Views119|DOI:https://doi.org/10.1109/TIV.2016.2617625
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Other Links: dblp.uni-trier.de

Abstract:

In this paper, an approach is presented to predict the route and stopping intent of human-driven vehicles at urban intersections using a selection of distinctive features observed on the vehicle state (position, heading, acceleration, velocity). For potential future advanced driver assistance systems, this can facilitate the situation ana...More

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