OCDBMamba: A Robust and Efficient Road Pothole Detection Framework with Omnidirectional Context and Consensus-Based Boundary Modeling

Reliable road pothole detection remains challenging in complex environments, where low contrast, shadows, water films, and strong background textures cause frequent false alarms, missed detections, and boundary instability. Thin rims and adjacent objects further complicate localization, and model ro...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Feng Ling, Yunfeng Lin, Weijie Mao, Lixing Tang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-01-01
Schriftenreihe:	Sensors
Schlagworte:	road pothole detection omnidirectional channel-selective scanning dual-branch consensus thresholding state space modeling long-range context modeling
Online-Zugang:	https://www.mdpi.com/1424-8220/26/2/632
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