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SUN ET AL.: ON-ROAD VEHICLE DETECTION: A REVIEW

algorithm robustness are needed before these systems can

be deployed effectively. In spite of the technical challenges that lie ahead, we

believe that some degree of optimism is justifiable based on the progress that this domain has seen over the last few years. Judging from the research activities in this field worldwide, it is certain that it will continue to be among the hottest research areas in the future. Major motor companies, government agencies, and universities, are all expected to work together to make significant progress in this area over the next few years. Rapidly falling costs for the sensors and processors combined with increasing image resolution provides the basis for a continuous growth of this field.

ACKNOWLEDGMENTS

This research was supported by Ford Motor Company under grant No. 2001332R, the University of Nevada, Reno, under an Applied Research Initiative (ARI) grant, and in part by the US National Science Foundation under CRCD grant No. 0088086.

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