An automated system for persistent real-time truck parking detection and information dissemination

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tractor-trailer freight hauling has increased markedly within the United States over the past several years, resulting in higher truck volumes. commercial heavy vehicle drivers are required under federal Hours Of Services rules to rest and take breaks to mitigate driving while fatigued. Although there are many rest area facilities available to truck drivers, there is a lack of persistent timely information on truck parking availability. An automated real-time sensing system to directly detect and disseminate parking space occupancy from truck parking facilities is described in detail. The methodology and system architecture are presented in which robust, persistent, parking occupancy detection is achieved by extending Structure from Motion (SfM) techniques using a multiplicity of commercial, off-the-shelf cameras. The system architecture allows the approach to be scaled to a region-wide comprehensive truck parking information system for commercial heavy vehicle drivers and operators. Per parking space detection accuracy of 99% is achieved over continuous operation. Classification accuracy under diverse scene and parking behavior scenarios is discussed.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3989-3994
Number of pages6
DOIs
StatePublished - Sep 22 2014
Event2014 IEEE International Conference on Robotics and Automation, ICRA 2014 - Hong Kong, China
Duration: May 31 2014Jun 7 2014

Other

Other2014 IEEE International Conference on Robotics and Automation, ICRA 2014
CountryChina
CityHong Kong
Period5/31/146/7/14

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Cook, D. J., Morris, T., Morellas, V., & Papanikolopoulos, N. (2014). An automated system for persistent real-time truck parking detection and information dissemination. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 3989-3994). [6907438] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA.2014.6907438