Issue No. 01 - January/February (2008 vol. 23)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2008.6
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.
collision avoidance, computer vision, software frameworks
A. Broggi et al., "GOLD: A Framework for Developing Intelligent-Vehicle Vision Applications," in IEEE Intelligent Systems, vol. 23, no. , pp. 69-71, 2008.