Rut depth detection for automated trafficability assessment
Department of Electrical and Computer Engineering; Department of Mechanical Engineering-Engineering Mechanics
The passing of a wheeled or tracked vehicle over soft or deformable soil creates ruts. The depth of these ruts is proportional to the weight of the vehicle and the soil trafficability; the ability of the soil to support traffic from vehicles. Assessing soil trafficability is often a manual and labor-intensive process. We evaluate the ability of lidar and depth cameras to detect changes in rut depth with the goal of minimizing manual or automated evaluation via soil strength testing. Our sensor-based approach mimics the process used by human operators when measuring rut depth. We compare this approach with machine-centered approaches with the goal of improving correlation between soil strength measurements and rut depth. In general, we find that all sensors are able to measure rut depth within the uncertainty bounds of soil and rut depth models for light vehicles.
Proceedings of SPIE - The International Society for Optical Engineering
Rut depth detection for automated trafficability assessment.
Proceedings of SPIE - The International Society for Optical Engineering,
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