A vehicle system of a vehicle configured to detect an external event and to broadcast said event using a decentralized environmental notification message (DENM), wherein said vehicle system comprises: - at least one camera sensor configured to capture images of an environment of said vehicle, - an electronic control unit configured to: - detect an event using a primary deep learning model based on said images, - determine a predictability level of said event, said predictability level being generated by said primary deep learning model, for categorizing the different events, said events comprising accidents, road-block, animals on the road or on the pavement, pedestrians on the road or on the pavement, obstacles on the road or on the pavement and ambulance vehicles on the road, - transmit said event to a telematic control unit of said vehicle system if its predictability level is above a defined level, - said telematic control unit configured to: - receive said event from said electronic control unit and broadcast a related decentralized environmental notification message (DENM) via a vehicle to vehicle communication (V2V) to other vehicles in the environment of the vehicle and/or via a vehicle to infrastructure communication (V2I), to infrastructures in the environment of the vehicle, - transmit at least one image and data details of said event to a server, said data details of said event comprising a label of said event, a location of said event, a timestamp of said event, and the predictability level of said event, - receive a primary validation information of said event from said server, said primary validation information being generated by a secondary deep learning model, and cancel the broadcasting of said decentralized environmental notification message (DENM) if said event is not validated, - if said event is validated, receive an updated instance of said primary deep learning model from said server and transmit it to said electronic control unit for updating said primary deep learning model. - at least one camera sensor configured to capture images of an environment of said vehicle, - an electronic control unit configured to: - detect an event using a primary deep learning model based on said images, - determine a predictability level of said event, said predictability level being generated by said primary deep learning model, for categorizing the different events, said events comprising accidents, road-block, animals on the road or on the pavement, pedestrians on the road or on the pavement, obstacles on the road or on the pavement and ambulance vehicles on the road, - transmit said event to a telematic control unit of said vehicle system if its predictability level is above a defined level, - detect an event using a primary deep learning model based on said images, - determine a predictability level of said event, said predictability level being generated by said primary deep learning model, for categorizing the different events, said events comprising accidents, road-block, animals on the road or on the pavement, pedestrians on the road or on the pavement, obstacles on the road or on the pavement and ambulance vehicles on the road, - transmit said event to a telematic control unit of said vehicle system if its predictability level is above a defined level, - said telematic control unit configured to: - receive said event from said electronic control unit and broadcast a related decentralized environmental notification message (DENM) via a vehicle to vehicle communication (V2V) to other vehicles in the environment of the vehicle and/or via a vehicle to infrastructure communication (V2I), to infrastructures in the environment of the vehicle, - transmit at least one image and data details of said event to a server, said data details of said event comprising a label of said event, a location of said event, a timestamp of said event, and the predictability level of said event, - receive a primary validation information of said event from said server, said primary validation information being generated by a secondary deep learning model, and cancel the broadcasting of said decentralized environmental notification message (DENM) if said event is not validated, - if said event is validated, receive an updated instance of said primary deep learning model from said server and transmit it to said electronic control unit for updating said primary deep learning model. - receive said event from said electronic control unit and broadcast a related decentralized environmental notification message (DENM) via a vehicle to vehicle communication (V2V) to other vehicles in the environment of the vehicle and/or via a vehicle to infrastructure communication (V2I), to infrastructures in the environment of the vehicle, - transmit at least one image and data details of said event to a server, said data details of said event comprising a label of said event, a location of said event, a timestamp of said event, and the predictability level of said event, - receive a primary validation information of said event from said server, said primary validation information being generated by a secondary deep learning model, and cancel the broadcasting of said decentralized environmental notification message (DENM) if said event is not validated, - if said event is validated, receive an updated instance of said primary deep learning model from said server and transmit it to said electronic control unit for updating said primary deep learning model.