| L. Petersson National
ICT Australia Limited, Locked Bag 8001, Canberra, ACT 2601, Australia,
L. Fletcher, A. Zelinsky Research School of Information, Sciences
and Engineering, The Australian National University, Canberra, ACT 0200,
Australia, N. 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, and F. 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. |
