US Patent Application 17846232. METHOD FOR DETECTING ROAD CONDITIONS AND ELECTRONIC DEVICE simplified abstract
Contents
METHOD FOR DETECTING ROAD CONDITIONS AND ELECTRONIC DEVICE
Organization Name
HON HAI PRECISION INDUSTRY CO., LTD.
Inventor(s)
SHIH-CHAO Chien of New Taipei (TW)
CHIN-PIN Kuo of New Taipei (TW)
METHOD FOR DETECTING ROAD CONDITIONS AND ELECTRONIC DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 17846232 titled 'METHOD FOR DETECTING ROAD CONDITIONS AND ELECTRONIC DEVICE
Simplified Explanation
- The patent application describes a method for detecting road conditions using an electronic device. - The device captures images of the scene in front of a vehicle and inputs them into a trained semantic segmentation model. - The device uses a backbone network for feature extraction and obtains multiple feature maps. - These feature maps are then processed by a first segmentation network and a second segmentation network within the head network. - The first segmentation network outputs a recognition result, while the second segmentation network outputs another recognition result. - The device then determines whether it is safe for the vehicle to continue driving based on these recognition results.
Original Abstract Submitted
A method for detecting road conditions applied in an electronic device obtains images of a scene in front of a vehicle, and inputs the images into a trained semantic segmentation model. The electronic device inputs the images into a backbone network for feature extraction and obtains a plurality of feature maps, inputs the feature maps into the head network, processes the feature maps by a first segmentation network of the head network, and outputs a first recognition result. The electronic device further processes the feature maps by a second segmentation network of the head network, and outputs a second recognition result, and determines whether the vehicle can continue to drive on safely according to the first recognition result and the second recognition result.
