计算机科学
注释
人工智能
情报检索
计算机视觉
分割
众包
作者
Florian Groh,Dominik Schörkhuber,Margrit Gelautz
出处
期刊:IS&T International Symposium on Electronic Imaging Science and Technology
[Society for Imaging Science & Technology]
日期:2020-01-26
卷期号:32 (16): 150-6
被引量:2
标识
DOI:10.2352/issn.2470-1173.2020.16.avm-150
摘要
Camera-based advanced driver-assistance systems (ADAS) require the mapping from image coordinates into world coordinates to be known. The process of computing that mapping is geometric calibration. This paper provides a series of tests that may be used to assess the goodness of the geometric calibration and compare model forms: 1. Image Coordinate System Test: Validation that different teams are using the same image coordinates. 2. Reprojection Test: Validation of a camera’s calibration by forward projecting targets through the model onto the image plane. 3. Projection Test: Validation of a camera’s calibration by inverse projecting points through the model out into the world. 4. Triangulation Test: Validation of a multi-camera system’s ability to locate a point in 3D. The potential configurations for these tests are driven by automotive use cases. These tests enable comparison and tuning of different calibration models for an as-built camera.
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