A stereovision-based probabilistic lane tracker for difficult road scenarios

This paper presents a lane estimation technique based on the particle filter framework, which fuses several image-based cues (edges, lane markings and curbs), and 3D cues extracted from stereovision. A partition sampling-like approach is used to decouple pitch estimation from the rest of the paramet...

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Bibliographische Detailangaben

Hauptverfasser:	Danescu, Radu, Nedevschi, Sergiu, Meinecke, Marc-Michael, To, Thanh-Binh
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Vehicles
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