Real-time Prediction of Automotive Collision Risk from Monocular Video

Many automotive applications, such as Advanced Driver Assistance Systems (ADAS) for collision avoidance and warnings, require estimating the future automotive risk of a driving scene. We present a low-cost system that predicts the collision risk over an intermediate time horizon from a monocular vid...

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Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2019-02
Hauptverfasser:	Phillips, Derek J, Aragon, Juan Carlos, Roychowdhury, Anjali, Madigan, Regina, Chintakindi, Sunil, Kochenderfer, Mykel J
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced driver assistance systems Automotive parts Collision avoidance Collision dynamics Drivers Modular systems Object recognition Real time Risk State estimation Tracking Traffic accidents Webcams
Online-Zugang:	Volltext
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