Overhead optical sensor for vehicle classification and axle counting

Amos J. Chenoweth; Robert E. McConnell III; Robert L. Gustavson

doi:10.1117/12.369264

15 November 1999 Overhead optical sensor for vehicle classification and axle counting

Amos J. Chenoweth, Robert E. McConnell III, Robert L. Gustavson

Proceedings Volume 3838, Mobile Robots XIV; (1999) https://doi.org/10.1117/12.369264
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

The Autosense II (ASII) vehicle detection and classification sensor has been proven to be very successful using rule-based algorithms to do shape-based vehicle classification. With the current class structure, the ASII achieved 98.5% accuracy on a random 10,000 vehicle test. Using the National Academy of Sciences’ (NAS) vehicle database, which was collected under the IVHS-6 IDEA program, the ASII achieved 96.5% accuracy on a 50,000 vehicle database including a range of weather conditions and traffic conditions.

Citation Download Citation

Amos J. Chenoweth, Robert E. McConnell III, and Robert L. Gustavson "Overhead optical sensor for vehicle classification and axle counting", Proc. SPIE 3838, Mobile Robots XIV, (15 November 1999); https://doi.org/10.1117/12.369264

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