QHAWAY: An Instance Segmentation and Monocular Distance Estimation ADAS for Vulnerable Road Users in Informal Andean Urban Corridors

Vulnerable road users in informal urban environments confront a distinct set of hazards that standard computer vision datasets are ill-equipped to represent: artisanal speed bumps constructed without regulatory compliance, deteriorated road markings, and the mototaxi—a three-wheeled motorized vehicl...

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Hlavní autoři:	Abel De la Cruz-Moran, Hemerson Lizarbe-Alarcon, Wilmer Moncada, Victor Bellido-Aedo, Carlos Carrasco-Badajoz, Carolina Rayme-Chalco, Cristhian Aldana, Yesenia Saavedra, Edwin Saavedra, Alex Pereda
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-04-01
Edice:	Sensors
Témata:	advanced driver assistance system instance segmentation monocular distance estimation time-to-collision YOLOv8 YOLO26
On-line přístup:	https://www.mdpi.com/1424-8220/26/8/2569
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