iARTIST (Industry Academia Research on Three-dimensional Imaging Systems for Transportation) project aims to facilitate knowledge transfer as well as innovative research between two academic institutions and two industrial firms to develop a new generation of intelligent video surveillance systems. Primarily designed for transportation management, these systems have the potential of additional applications in wide-ranging security infrastructure. The project will achieve this by two parallel routes, one of which aims to improve the sensors and hence the quality of the images captured. The second route would equip the video surveillance systems with computer vision based intelligence leading to Intelligent Transport Systems (ITS).

By transferring their knowledge to one another as well as through joint research activity, the four partners of iARTIST project aim to achieve the following principal objectives

  • The development of algorithms capable of recognizing most frequent events (objects and actions) in a visual scene;
  • The development of a smart camera system that will support the event classification algorithms;
  • The development of a back-office system that will collect video frames tagged with events classified by these algorithms;

The principal area of application of the newly developed system will be in Intelligent Transport Systems (ITS), including vehicle time-to-travel systems, traffic violation detection systems, tolling systems and automatic driver assistance systems (ADAS). With increasing number of vehicles for transportation of person and goods, the range and nature of transportation problems such as traffic congestions, accidents and safety, transportation delays and efficiency, and environmental conservation has tremendously increased1. Intelligent transport systems (ITS) offer a promise to provide some solutions to such problems, and hence have drawn increasing attention from transportation professionals, automotive industry and policy makers due to their potential benefits2. Some of these include increased safety (by avoiding accidents and mortality rates in roads), improved operational performance (particularly by reducing congestion in transportation networks and by maximizing the capacity of existing infrastructure); enhanced driver mobility (by providing real-time traffic information and routes); environmental benefits (by reducing fuel consumption and cutting CO2 emissions); and boosting productivity leading economic and employment growth (by reducing the time spent in transportation). However, ITS comes in multitudes of shapes to correspond to different needs, end-users, cost and available technologies.

The iARTIST project aims to provide new solutions to ITS with particular focus on technologies suitable to develop Advanced Driver Assistance Systems (ADAS), Advanced Transportation Management Systems (ATMS) and Transportation Pricing Systems. ADAS assists drivers by providing real-time information such as transit routes, information about congestions, weather conditions and also includes lane-departure warning systems, parking guidance, vehicle collision avoidance, as well as awareness of the presence of vulnerable road users3. ATMS include systems to monitor traffic conditions and to collect traffic data, dynamic traffic control systems with variable speed limits and with variable message signs, and law enforcement systems. ITS-Enabled Transportation Pricing Systems include systems such as electronic toll collection, congestion pricing, fee-based express (HOT) lanes, and vehicle miles traveled (VMT) usage-based fee systems.

In particular, iARTIST focuses on 4 different challenges:

  • Improve smart cameras capabilities and system intelligence to better understanding the surrounding scene.
  • Improve optical sensor technology to cope with requirements of ITS applications.
  • Provide more efficient power management to reduce and minimize the ITS applications dependence on close electricity supplies to enable the extension to a greater range of locations.
  • Develop novel traffic control solutions taking advantage of the improvements in sensing technologies and power supply mechanisms.