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GOLD: A Framework for Developing Intelligent-Vehicle Vision Applications
January/February 2008 (vol. 23 no. 1)
pp. 69-71
ASCII Text
x 
 
Massimo Bertozzi, Luca Bombini, Alberto Broggi, Paolo Zani, Pietro Cerri, Paolo Grisleri, Paolo Medici, "GOLD: A Framework for Developing Intelligent-Vehicle Vision Applications," IEEE Intelligent Systems, vol. 23, no. 1, pp. 69-71, January/February, 2008.
 
 
BibTex
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@article{ 10.1109/MIS.2008.6,
author = {Massimo Bertozzi and Luca Bombini and Alberto Broggi and Paolo Zani and Pietro Cerri and Paolo Grisleri and Paolo Medici},
title = {GOLD: A Framework for Developing Intelligent-Vehicle Vision Applications},
journal ={IEEE Intelligent Systems},
volume = {23},
number = {1},
issn = {1541-1672},
year = {2008},
pages = {69-71},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2008.6},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - GOLD: A Framework for Developing Intelligent-Vehicle Vision Applications
IS - 1
SN - 1541-1672
SP69
EP71
EPD - 69-71
A1 - Massimo Bertozzi,
A1 - Luca Bombini,
A1 - Alberto Broggi,
A1 - Paolo Zani,
A1 - Pietro Cerri,
A1 - Paolo Grisleri,
A1 - Paolo Medici,
PY - 2008
KW - collision avoidance
KW - computer vision
KW - software frameworks
VL - 23
JA - IEEE Intelligent Systems
ER -
 
Massimo Bertozzi, VisLab, Università di Parma
Luca Bombini, VisLab, Università di Parma
Alberto Broggi, VisLab, Università di Parma
Paolo Zani, VisLab, Università di Parma
Pietro Cerri, VisLab, Università di Parma
Paolo Grisleri, VisLab, Università di Parma
Paolo Medici, VisLab, Università di Parma
To develop real-time vision applications for use in highly dynamic environments, such as transportation, researchers must gather large amounts of data coming from different sensors and systems at different rates. The Artificial Vision and Intelligent System Laboratory (VisLab) has been developing the GOLD (General Obstacle and Lane Detection) framework for more than 10 years to meet these requirements. It provides software that can perform data acquisition, synchronization, logging, processing, and visualization in real time. It's an efficient software layer that offers an engine for many automotive applications but could serve in many other application domains as well.

1. M. Bertozzi and A. Broggi, "GOLD: A Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection," IEEE Trans. Image Processing, vol. 7, no. 1, 1998, pp. 62–81.
2. A. Broggi et al., Automatic Vehicle Guidance: The Experience of the ARGO Autonomous Vehicle, World Scientific, 1999.
3. A. Broggi et al., "The Single Frame Stereo Vision System for Reliable Obstacle Detection Used during the 2005 DARPAGrand Challenge on TerraMax," Proc. IEEE Int'l Conf. Intelligent Transportation Systems (ITSC 06) IEEE Press, 2006, pp. 745–752.

Index Terms:
collision avoidance, computer vision, software frameworks
Citation:
Massimo Bertozzi, Luca Bombini, Alberto Broggi, Paolo Zani, Pietro Cerri, Paolo Grisleri, Paolo Medici, "GOLD: A Framework for Developing Intelligent-Vehicle Vision Applications," IEEE Intelligent Systems, vol. 23, no. 1, pp. 69-71, Jan./Feb. 2008, doi:10.1109/MIS.2008.6
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