Collision Avoidance for the Surface Mining Industry

Skaines, David (2006). Collision Avoidance for the Surface Mining Industry B.Sc Thesis, School of Engineering, The University of Queensland.

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Author Skaines, David
Thesis Title Collision Avoidance for the Surface Mining Industry
School, Centre or Institute School of Engineering
Institution The University of Queensland
Publication date 2006
Thesis type B.Sc Thesis
Supervisor Peter Knights
Alan Robertson
Total pages 54
Language eng
Subjects 09 Engineering
Formatted abstract
Lack of visibility from the cab of surface mining haul trucks has been responsible for a significant number of collisions, fatalities and lost production each year in the surface mining industry. Collision Avoidance Systems (CAS) are now being developed specifically for use in the rugged surface mining environment, to detect hazards within the blind areas surrounding haul trucks, and convey this information to the operator. The primary aim of this report is to provide a comparative study of five of the more prevalent technologies currently used in CAS, to determine which are the most suitable for application in the surface mining industry at their current stages of development. The comparison will be conducted with reference to five key criteria which will be developed. Technologies assessed are: video camera; radar; Radio Frequency Identification (RFID); laser; and GPS.
Keyword mining -- safety
collision avoidance
Hazard detection
technological analysis

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
Citation counts: Google Scholar Search Google Scholar
Created: Tue, 09 Sep 2014, 10:51:36 EST by Lucy Russell on behalf of Scholarly Communication and Digitisation Service