Stereo camera system calibration with relative orientation constraints

1993 ◽  
Author(s):  
Guangping He ◽  
Kurt Novak ◽  
Wenhao Feng
Keyword(s):  
Relative Orientation ◽  
Camera System ◽  
System Calibration ◽  
Stereo Camera

scholarly journals TOWARDS THE INFLUENCE OF A CAR WINDSHIELD ON DEPTH CALCULATION WITH A STEREO CAMERA SYSTEM

2016 ◽  
Vol XLI-B5 ◽  
pp. 461-468
Author(s):  
A. Hanel ◽  
L. Hoegner ◽  
U. Stilla
Keyword(s):  
Road Safety ◽  
Standard Procedure ◽  
Relative Orientation ◽  
Bundle Adjustment ◽  
Camera System ◽  
Stereo Camera ◽  
Camera Systems ◽  
Road Users ◽  
The Difference ◽  
Planar Calibration

Stereo camera systems in cars are often used to estimate the distance of other road users from the car. This information is important to improve road safety. Such camera systems are typically mounted behind the windshield of the car. In this contribution, the influence of the windshield on the estimated distance values is analyzed. An offline stereo camera calibration is performed with a moving planar calibration target. In a standard procedure bundle adjustment, the relative orientation of the cameras is estimated. The calibration is performed for the identical stereo camera system with and without a windshield in between. The base lengths are derived from the relative orientation in both cases and are compared. Distance values are calculated and analyzed. It can be shown, that the difference of the base length values in the two cases is highly significant. Resulting effects on the distance calculation up to a half meter occur.

scholarly journals Calibration of multi-camera photogrammetric systems

2014 ◽  
Vol XL-1 ◽  
pp. 101-108 ◽  
Author(s):  
I. Detchev ◽  
M. Mazaheri ◽  
S. Rondeel ◽  
A. Habib
Keyword(s):  
Stability Analysis ◽  
Low Cost ◽  
A Priori ◽  
Relative Orientation ◽  
System Stability ◽  
Specific System ◽  
Camera System ◽  
System Calibration ◽  
System Stability Analysis ◽  
Orientation Parameters

Due to the low-cost and off-the-shelf availability of consumer grade cameras, multi-camera photogrammetric systems have become a popular means for 3D reconstruction. These systems can be used in a variety of applications such as infrastructure monitoring, cultural heritage documentation, biomedicine, mobile mapping, as-built architectural surveys, etc. In order to ensure that the required precision is met, a system calibration must be performed prior to the data collection campaign. This system calibration should be performed as efficiently as possible, because it may need to be completed many times. Multi-camera system calibration involves the estimation of the interior orientation parameters of each involved camera and the estimation of the relative orientation parameters among the cameras. This paper first reviews a method for multi-camera system calibration with built-in relative orientation constraints. A system stability analysis algorithm is then presented which can be used to assess different system calibration outcomes. The paper explores the required calibration configuration for a specific system in two situations: major calibration (when both the interior orientation parameters and relative orientation parameters are estimated), and minor calibration (when the interior orientation parameters are known a-priori and only the relative orientation parameters are estimated). In both situations, system calibration results are compared using the system stability analysis methodology.

scholarly journals TOWARDS THE INFLUENCE OF A CAR WINDSHIELD ON DEPTH CALCULATION WITH A STEREO CAMERA SYSTEM

2016 ◽  
Vol XLI-B5 ◽  
pp. 461-468 ◽  
Author(s):  
A. Hanel ◽  
L. Hoegner ◽  
U. Stilla
Keyword(s):  
Road Safety ◽  
Standard Procedure ◽  
Relative Orientation ◽  
Bundle Adjustment ◽  
Camera System ◽  
Stereo Camera ◽  
Camera Systems ◽  
Road Users ◽  
The Difference ◽  
Planar Calibration

Stereo camera systems in cars are often used to estimate the distance of other road users from the car. This information is important to improve road safety. Such camera systems are typically mounted behind the windshield of the car. In this contribution, the influence of the windshield on the estimated distance values is analyzed. An offline stereo camera calibration is performed with a moving planar calibration target. In a standard procedure bundle adjustment, the relative orientation of the cameras is estimated. The calibration is performed for the identical stereo camera system with and without a windshield in between. The base lengths are derived from the relative orientation in both cases and are compared. Distance values are calculated and analyzed. It can be shown, that the difference of the base length values in the two cases is highly significant. Resulting effects on the distance calculation up to a half meter occur.

Development of an Advanced Stereo Camera System

2007 ◽  
Author(s):  
Satoshi Katahira ◽  
Eiji Shibata ◽  
Tatsuhiko Monji
Keyword(s):  
Camera System ◽  
Stereo Camera

An Experimental Analysis of the Effects of Different Hardware Setups on Stereo Camera Systems

2021 ◽  
Vol 15 (03) ◽  
pp. 337-357
Author(s):  
Alexander Julian Golkowski ◽  
Marcus Handte ◽  
Peter Roch ◽  
Pedro J. Marrón
Keyword(s):  
Experimental Analysis ◽  
Autonomous Navigation ◽  
Indoor Environments ◽  
Camera System ◽  
Stereo Camera ◽  
Camera Systems ◽  
Sensing Technology ◽  
Stereo Cameras ◽  
The Impact ◽  
General Guidance

For many application areas such as autonomous navigation, the ability to accurately perceive the environment is essential. For this purpose, a wide variety of well-researched sensor systems are available that can be used to detect obstacles or navigation targets. Stereo cameras have emerged as a very versatile sensing technology in this regard due to their low hardware cost and high fidelity. Consequently, much work has been done to integrate them into mobile robots. However, the existing literature focuses on presenting the concepts and algorithms used to implement the desired robot functions on top of a given camera setup. As a result, the rationale and impact of choosing this camera setup are usually neither discussed nor described. Thus, when designing the stereo camera system for a mobile robot, there is not much general guidance beyond isolated setups that worked for a specific robot. To close the gap, this paper studies the impact of the physical setup of a stereo camera system in indoor environments. To do this, we present the results of an experimental analysis in which we use a given software setup to estimate the distance to an object while systematically changing the camera setup. Thereby, we vary the three main parameters of the physical camera setup, namely the angle and distance between the cameras as well as the field of view and a rather soft parameter, the resolution. Based on the results, we derive several guidelines on how to choose the parameters for an application.

3D-objecttracking with a mixed omnidirectional stereo camera system

Mechatronics ◽  
2011 ◽  
Vol 21 (2) ◽  
pp. 390-398 ◽  
Author(s):  
Martin Lauer ◽  
Miriam Schönbein ◽  
Sascha Lange ◽  
Stefan Welker
Keyword(s):  
Camera System ◽  
Stereo Camera

A high precision image registration method for measurement based on the stereo camera system

Optik ◽  
2020 ◽  
Vol 204 ◽  
pp. 164186
Author(s):  
Fengkai Ke ◽  
Huanping Liu ◽  
Daxing Zhao ◽  
Guodong Sun ◽  
Wan Xu ◽  
...  
Keyword(s):  
Image Registration ◽  
High Precision ◽  
Camera System ◽  
Registration Method ◽  
Stereo Camera
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