Using dual camera smartphones as advanced driver assistance systems
Mihai Duguleană, Gîrbacia Florin, Mogan Gheorghe · 2015
Over the last years, automotive industry has shown a tremendous interest in Advanced Driver Assistance Systems (ADASs), especially the ones based on driver's bio-features. As most car producers strive to meet the increasing needs of high-end and even average consumers, more and more complex systems are being developed. The current trend is to maximize the synergy between humans and machines by designing better user interfaces (UIs) which can anticipate the behavior of the driver. Great research efforts are put into inferring car position, traffic environment, driver's condition (e.g. degree of drowsiness, driving skill, emotional state) and intentions (e.g. changing lanes, overtaking other cars). The goal of this study is to design and implement an ADAS based on a dual camera mobile phone. We address the mathematical models, the main software modules and the system architecture implied by such a system. Within this paper, we focus on developing the system architecture, as seen from different perspectives: User View, Logic Segmentation View and Process View.