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...

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Hlavní autoři:	Feng Ling, Yunfeng Lin, Weijie Mao, Lixing Tang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	Sensors
Témata:	road pothole detection omnidirectional channel-selective scanning dual-branch consensus thresholding state space modeling long-range context modeling
On-line přístup:	https://www.mdpi.com/1424-8220/26/2/632
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