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Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control

National ICT Australia Limited, Locked Bag 8001, Canberra, ACT 2601, Australia, lars.petersson{at}nicta.com.au

Luke Fletcher

Research School of Information Sciences and Engineering, The Australian National University, Canberra, ACT 0200, Australia

Alexander Zelinsky

Research School of Information Sciences and Engineering, The Australian National University, Canberra, ACT 0200, Australia

Nick Barnes

National ICT Australia Limited, Locked Bag 8001, Canberra, ACT 2601, Australia, and Research School of Information Sciences and Engineering, The Australian National University, Canberra, ACT 0200, Australia

Fredrik Arnell

Computational Vision and Active, Perception Laboratory, Royal Institute of Technology (KTH), SE-100 44 Stockholm, Sweden

In this paper we introduce the Smart Cars Project at the Australian National University/National ICT Australia, together with a discussion and an example of a driver assistance system. We present a framework for interactive driver assistance systems that includes techniques for fast-speed sign detection and classification, obstacle detection and tracking applied to pedestrian detection, and lane departure warning. In addition, the driver’s actions are monitored. The integrated system uses information extracted from the road scene (speed signs, position within the lane, relative position to other cars, etc.) together with information about the driver’s state, such as eye gaze and head pose, to issue adequate warnings. A touch screen monitor is used to present relevant information and allow the driver to interact with the system. The research is focused around robust algorithms that are able to run on-line. Results of on-line speed sign detection and pedestrian detection are presented in the context of a driver assistance system.

Key Words: driver assistance systems • sign detection and classification • obstacle detection and tracking • driver monitoring • lane departure

The International Journal of Robotics Research, Vol. 25, No. 1, 53-72 (2006)
DOI: 10.1177/0278364906061156


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