This application involves a vehicle data processing method performed by a computer device. The method includes: obtaining current vehicle trajectory data and current vehicle status data of a target vehicle; determining a current travel scenario and a corrected vehicle speed of the target vehicle according to the current vehicle trajectory data and a historical vehicle trajectory data set of the target vehicle; determining a target matching mode of the current vehicle trajectory data and the current vehicle status data based on the corrected vehicle speed and vehicle speed reference information corresponding to the current travel scenario; obtaining target matching vehicle trajectory data corresponding to the current vehicle status data from the current vehicle trajectory data according to the target matching mode; and transmitting recommended information to the target vehicle based on the target matching vehicle trajectory data, the current vehicle status data, and the current travel scenario.

This application involves a vehicle data processing method performed by a computer device. The method includes: obtaining current vehicle trajectory data and current vehicle status data of a target vehicle; determining a current travel scenario and a corrected vehicle speed of the target vehicle according to the current vehicle trajectory data and a historical vehicle trajectory data set of the target vehicle; determining a target matching mode of the current vehicle trajectory data and the current vehicle status data based on the corrected vehicle speed and vehicle speed reference information corresponding to the current travel scenario; obtaining target matching vehicle trajectory data corresponding to the current vehicle status data from the current vehicle trajectory data according to the target matching mode; and transmitting recommended information to the target vehicle based on the target matching vehicle trajectory data, the current vehicle status data, and the current travel scenario.

A control apparatus includes a controller configured to select, depending on a type of vehicle data obtained by monitoring a state of a vehicle, a driver or an owner of the vehicle as an authorized party who grants permission to provide the vehicle data to a third party other than the driver and the owner, and notify the selected authorized party of information prompting for the permission.

A control apparatus includes a controller configured to select, depending on a type of vehicle data obtained by monitoring a state of a vehicle, a driver or an owner of the vehicle as an authorized party who grants permission to provide the vehicle data to a third party other than the driver and the owner, and notify the selected authorized party of information prompting for the permission.

A method includes calculating whether a quantity of the PMs accumulated in a PF is at or above a risk level at which damage to the PF is caused when reproducing the PF, calculating a driving condition index by accumulating a weighting factor for a driving condition under which there is a likelihood of causing the damage to the PF, when the amount of accumulated PMs is at or above the risk level; calculating a temperature index in accordance with a temperature of the PF and a PM index in accordance with the quantity of the accumulated PMs when the quantity of the accumulated PMs is at or above the risk level; calculating a degradation condition index considering the driving condition index, the temperature of the PF, and the quantity of accumulated PMs; and changing a reproduction periodicity of the PF according to the degradation condition index.

A method includes calculating whether a quantity of the PMs accumulated in a PF is at or above a risk level at which damage to the PF is caused when reproducing the PF, calculating a driving condition index by accumulating a weighting factor for a driving condition under which there is a likelihood of causing the damage to the PF, when the amount of accumulated PMs is at or above the risk level; calculating a temperature index in accordance with a temperature of the PF and a PM index in accordance with the quantity of the accumulated PMs when the quantity of the accumulated PMs is at or above the risk level; calculating a degradation condition index considering the driving condition index, the temperature of the PF, and the quantity of accumulated PMs; and changing a reproduction periodicity of the PF according to the degradation condition index.

A system within an ego vehicle for robust association of a physical identity and a virtual identity of a target vehicle includes a data processor, including a wireless communication module and a visible light communication module, positioned within an ego vehicle, and a plurality of perception sensors, positioned within the ego vehicle and adapted to collect data related to a physical identity of the target vehicle and to communicate the data related to the physical identity of the target vehicle to the data processor via a communication bus, the data processor within the ego vehicle adapted to receive, via a wireless communication channel, data related to a virtual identity of the target vehicle, associate the physical identity of the target vehicle with the virtual identity of the target vehicle, and initiate, via the wireless communication channel and a visible light communication channel, a challenge-response protocol between the ego vehicle and the target vehicle.

A system within an ego vehicle for robust association of a physical identity and a virtual identity of a target vehicle includes a data processor, including a wireless communication module and a visible light communication module, positioned within an ego vehicle, and a plurality of perception sensors, positioned within the ego vehicle and adapted to collect data related to a physical identity of the target vehicle and to communicate the data related to the physical identity of the target vehicle to the data processor via a communication bus, the data processor within the ego vehicle adapted to receive, via a wireless communication channel, data related to a virtual identity of the target vehicle, associate the physical identity of the target vehicle with the virtual identity of the target vehicle, and initiate, via the wireless communication channel and a visible light communication channel, a challenge-response protocol between the ego vehicle and the target vehicle.

A method for generating a digital model-based representation of a vehicle. The method includes: receiving sensor data of a plurality of acoustic sensors of a vehicle, wherein the sensor data describes sounds of the vehicle and/or sounds of an environment of the vehicle, and wherein the sensor data has been recorded for a plurality of trips of the vehicle; evaluating the sensor data and the creation of relations between the received sounds of the vehicle and/or the environment and the particular sound-causing statuses of the vehicle and/or the environment; and storing in a model-based representation of the vehicle and/or the environment, the determined relations between the sounds of the vehicle and/or the environment in a model-based representation of the vehicle.

A method for generating a digital model-based representation of a vehicle. The method includes: receiving sensor data of a plurality of acoustic sensors of a vehicle, wherein the sensor data describes sounds of the vehicle and/or sounds of an environment of the vehicle, and wherein the sensor data has been recorded for a plurality of trips of the vehicle; evaluating the sensor data and the creation of relations between the received sounds of the vehicle and/or the environment and the particular sound-causing statuses of the vehicle and/or the environment; and storing in a model-based representation of the vehicle and/or the environment, the determined relations between the sounds of the vehicle and/or the environment in a model-based representation of the vehicle.