Suspension component damage detection with marker
AssigneeFord Global Technologies, LLC
InventorsDevon Eyerman, Jonathan Barker, Dexin Wang, Austin James Jeffries
Life of this patent
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Abstract
A detected displacement of a marker on a vehicle is determined based on image data captured while the vehicle traverses a displacement object of a ground surface. Then a health status of a suspension component of the vehicle is determined to be unhealthy based on comparing the detected displacement of the marker to a target displacement of the marker. The target displacement specifies displacement of the marker that indicates the suspension component is healthy. The vehicle is operated based on the suspension component being unhealthy.
Claims20
A system, comprising a computer including a processor and a memory, the memory storing instructions executable by the processor to:
- determine a detected displacement of a marker on a vehicle based on image data captured while the vehicle traverses a vertical displacement of a ground surface;
- then determine a health status of a suspension component of the vehicle is unhealthy based on comparing the detected displacement of the marker to a target displacement of the marker, wherein the target displacement specifies displacement of the marker indicating the suspension component is healthy;
- operate the vehicle based on the suspension component being unhealthy;
- and
- update the target displacement based on the detected displacement of the marker and the target displacement being input into a neural network, wherein the neural network then outputs an updated target displacement.
A method comprising:
- determining a detected displacement of a marker on a vehicle based on image data captured while the vehicle traverses a vertical displacement of a ground surface;
- then determining a health status of a suspension component of the vehicle is unhealthy based on comparing the detected displacement of the marker to a target displacement of the marker, wherein the target displacement specifies displacement of the marker indicating the suspension component is healthy;
- operating the vehicle based on the suspension component being unhealthy;
- and
- updating the target displacement based on the detected displacement of the marker and the target displacement being input into a neural network, wherein the neural network then outputs an updated target displacement.
Dependencies are inferred from the claim text.