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Advanced surface vehicles collision risk reduction system

Wydro K., Demozzi A., Jarkowski J.

Archives of Transport System Telematics

2017

Vol. 10, iss. 4

42--46

An idea of the innovative enhanced vehicle collision preventing system is presented. The system is based on usage of real-time information about vehicles mutual positions, trajectories and movement, which will be collected by mobile sensor network created ad-hoc by vehicles entering a potentially colliding area. The system will particularly consider vehicles movements dynamics, procedures of secure approaching and passing-by processes as well as remote warnings about traffic obstacles ahead. Premises and assumption for possible procedures and algorithms referred to such a network functionalities involving dispersed mechanism of drivers behaviours coordination is analysed, taking into account also some possible and allowed level of automation of the autonomous control an steering of the vehicle. Moreover, a possibility of system cooperation with various brand contemporary equipment of ITS Advanced Driver Assistance Systems type is analyzed. Results of analysis will be presented first of all to traffic participants and to appropriate traffic management services.

Vision-based solutions for driver assistance

Nowosielski A.

Journal of Theoretical and Applied Computer Science

2014

Vol. 8, nr 4

35--44

The article presents a review on vision-based solutions for driver assistance. These solutions support the driver to keep safe travel conditions. They use diverse sensing modalities for the recognition of the environment around the vehicle. Upon detection a critical safety situation they supply the driver with the warning. Four assistance systems have been addressed: TSR - Traffic Sign Recognition, CAV - Collision Avoidance, LDW - Lane Departure Warning, and driver fatigue detection. Their structure and some existing approaches are presented. Furthermore, a solution for lane detection and another one for a driver fatigue detection are proposed in the article. They are prepared as the combination of existing image processing algorithms with the aim of presentation the ease of own limited solution creation. For the real-world and diverse working scenarios they would require a great deal of improvements.