An Overview of Methods and Parameters to Evaluate Detection Performance and Validation of Collision Warning and Avoidance Systems
Public Domain
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2022/02/27
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Series: Mining Publications
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Description:Between 2005 and 2021, a NIOSH internal review showed that haul trucks were involved in 54 incidents at surface mines in the United States. Haul truck collision warning and avoidance systems (CXS) can assist in preventing accidents at surface mines. CXS use technologies to detect people or objects and alarm to alert haul truck operators. Robust testing can help ensure that they detect objects without excessive false positive alarms. Testing and validation would increase confidence in and encourage implementation of a CXS. Researchers from the National Institute for Occupational Safety and Health (NIOSH) reviewed documents related to the evaluation and validation of CXS with two objectives: (1) to identify methods and parameters used to evaluate detection performance and (2) to identify gaps in CXS test methods and in detection performance. Stakeholders can use the findings from this research to guide implementation of CXS to improve safety at surface mines. [Description provided by NIOSH]
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ISBN:9781713845089
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Pages in Document:461-466
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NIOSHTIC Number:nn:20064903
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Citation:MineXchange: 2022 SME Annual Conference and Expo, February 27-March 2, 2022, Salt Lake City, Utah, preprint 22-087. Englewood, CO: Society for Mining, Metallurgy & Exploration, 2022 Feb; :461-466
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Federal Fiscal Year:2022
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Peer Reviewed:False
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Source Full Name:MineXchange: 2022 SME Annual Conference and Expo, February 27-March 2, 2022, Salt Lake City, Utah, preprint 22-087
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Main Document Checksum:urn:sha-512:204e1f8e33b4c1d94943d1ef15097e6d6d3e5276eb5d84bc8d4615c8e5336ac48b4e0f0dd0cdb97ee4d138ee8d4d000d898b8a68273db2baaa944c6568c1fd23
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