CAMERAS AND MACHINE VISION TO SUPPORT ROUGH TERRAIN CONTAINER HANDLER OPERATIONS

<title>ABSTRACT</title> <p>The effective and safe use of Rough Terrain Cargo Handlers is severely hampered by the operator’s view being obstructed. This results in the inability to see a) in front of the vehicle while driving, b) where to set a carried container, and c) where to maneuver the vehicles top handler in order to engage with cargo containers. We present an analysis of these difficulties along with specific solutions to address these challenges that go beyond the non-technical solution currently used, including the placement of sensors and the use of image analysis. These solutions address the use of perception to support autonomy, drive assist, active safety, and logistics.</p>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-11-15
DOI
https://doi.org/10.4271/2024-01-3609
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

CAMERAS AND MACHINE VISION TO SUPPORT ROUGH TERRAIN CONTAINER HANDLER OPERATIONS

Douglass Haanpaa, Glenn Beach, Steve Rowe, Jim Burkowski et al.
SAE technical papers on CD-ROM/SAE technical paper series
Advanced Manufacturing and Logistics Optimization
article

CAMERAS AND MACHINE VISION TO SUPPORT ROUGH TERRAIN CONTAINER HANDLER OPERATIONS

Douglass Haanpaa, Glenn Beach, Steve Rowe, Jim Burkowski, Gary Moody, Gary Siebert, Charles J. Cohen, Pritpaul Mahal
article en

Abstract

<title>ABSTRACT</title> <p>The effective and safe use of Rough Terrain Cargo Handlers is severely hampered by the operator’s view being obstructed. This results in the inability to see a) in front of the vehicle while driving, b) where to set a carried container, and c) where to maneuver the vehicles top handler in order to engage with cargo containers. We present an analysis of these difficulties along with specific solutions to address these challenges that go beyond the non-technical solution currently used, including the placement of sensors and the use of image analysis. These solutions address the use of perception to support autonomy, drive assist, active safety, and logistics.</p>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Cybernet Systems Corporation (United States) (US)
Openalex Percentile: Top 100%
Advanced Manufacturing and Logistics Optimization
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