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Abstract

A method and an apparatus for detecting a road hazard are provided. The method includes acquiring one or more sensor data from one or more sensors. The method further acquires traffic reference information and compares the one or more sensor data with the traffic reference information. A road hazard can be identified based on a comparison result between a first sensor data and the traffic reference information. Further, other sensor data are annotated to be associated with the road hazard. The other sensor data are collected within a same time frame in which the first sensor data captures the road hazard. The first sensor data that captures the road hazard and the other sensor data that are associated with the road hazard is output to a machine learning algorithm. The machine learning algorithm is trained based on the sensor data and deployed to identify a similar road hazard thereafter.

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First Claim