Monocular 3D Position Estimation of a Moving Vehicle Based on a Kalman-Goldschmidt Adaptive Filter

Determining the 3D position of a vehicle from a 2D image plays a key role in video surveillance, autonomous driving, and spatial localization. However, localization accuracy can significantly degrade in conditions of incomplete or synthetic measurement noise and keypoint jitter. In this paper, we pr...

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Detalhes bibliográficos

Principais autores:	Diana Kalita, Pavel Lyakhov, Valery Andreev, Denis Butusov
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
Colecção:	Journal of Sensor and Actuator Networks
Assuntos:	3D position Kalman filter camera calibration Goldschmidt algorithm computer vision autonomous driving
Acesso em linha:	https://www.mdpi.com/2224-2708/15/3/48
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