Method and apparatus for controlling terrain mode using road condition judgement model based on deep learning
AssigneeHyundai Mobis Co., Ltd.
InventorsSin Gi PARK, Kwon Hee LEE
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Abstract
The present disclosure in some embodiments provides a method and apparatus which utilize a learning model based on deep learning for enabling a vehicle to autonomously estimate a road surface condition by using a deep learning-based learning model, determine a terrain mode optimized for the road surface being traveled by the vehicle, and control respective in-vehicle modules and thereby automatically control the terrain mode.
Claims14
A method of automatically controlling a driving state of a vehicle in a terrain mode optimized for a road surface traveled by the vehicle, the method comprising:
- obtaining road surface data from a camera mounted on the vehicle, and configured to capture an image of the road surface;
- inputting the road surface data into a pre-trained deep learning-based learning model configured to estimate a road friction coefficient corresponding to the road surface;
- determining, based on the estimated road friction coefficient, a terrain mode optimized for the road surface, and generating optimal terrain mode information;
- and
- controlling, based on the optimal terrain mode information, an in-vehicle module.
An apparatus for automatically controlling a terrain mode of a vehicle, the apparatus comprising:
- an estimation unit configured to:
- obtain road surface data from a camera mounted on the vehicle and configured to capture an image of a road surface traveled by the vehicle, and
- inputting the road surface data into a pre-trained deep learning-based learning model configured to estimate a road friction coefficient corresponding to the road surface:
- a terrain mode determining unit configured to determine, based on the estimated road friction coefficient, a terrain mode optimized for the road surface;
- and
- a terrain mode control unit configured to control, based on the determined terrain mode, an in-vehicle module.
Dependencies are inferred from the claim text.