Feasible Self-Calibration of Larger Field-of-View (FOV) Camera Sensors for the Advanced Driver-Assistance System (ADAS)

Feasible Self-Calibration of Larger Field-of-View (FOV) Camera Sensors for the Advanced Driver-Assistance System (ADAS)

This paper proposes a self-calibration method that can be applied for multiple larger field-of-view (FOV) camera models on an advanced driver-assistance system (ADAS). Firstly, the proposed method performs a series of pre-processing steps such as edge detection, length thresholding, and edge groupin...

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Bibliographic Details
Main Authors: Vijay Kakani, Hakil Kim, Mahendar Kumbham, Donghun Park, Cheng-Bin Jin, Van Huan Nguyen
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
advanced driver-assistance system (ADAS)
larger field-of-view (FOV)
self-calibration
radial distortions
parameter sharing
model-specific empirical γ-residual rectification factor
Online Access:https://www.mdpi.com/1424-8220/19/15/3369

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https://www.mdpi.com/1424-8220/19/15/3369

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