Provided is a computer-implemented method of training a neural network to select objects in a vicinity of a target vehicle, comprising: aggregating (S110) sensor data related to the plurality of vehicles; filtering (S130) the sensor data according to one or more conditions, said conditions identifying an action of an ADAS/AD system of at least one of the plurality of vehicles; identifying (S150) one or more objects in the vicinity of target vehicle based on the filtered sensor data; and using (S170) the identified one or more objects to train the neural network to determine potential objects that cause a triggering of an ADAS/AD system of another vehicle.


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    Title :

    Computer-implemented method of training a neural network to select objects, and a vehicle, cloud server, and traffic infrastructure unit


    Publication date :

    2022-07-27


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English



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