Continental Automotive Gmbh

Continental Automotive Technologies Gmbh

Simon Piriou

Grégory Vial

Andrea Laruelo

A method for predicting, for a vehicle that is connected to a current cellular access point and is traveling on a road network, at least one characteristic associated with a modification of the linkage conditions of the vehicle to the cellular network. The method includes: training a first prediction model associated with the current access point from crowdsourced data collected from at least one training vehicle, the data comprising at least a first location, a speed and a direction of the training vehicle as well as a second location of the training vehicle collected when a disconnection from the current access point is detected; and predicting a third location at which a second vehicle will be disconnected from the current access point while traveling on the road network by applying the prediction model to a location, a speed, and a direction of the second vehicle.

Method for predicting a modification of the linkage conditions of a terminal to a cellular network

A method for predicting a value representative of a quality of connection of a vehicle to a cellular network from a target location on a road network including: training a prediction model on the basis of a determined characteristic of propagation between an access point and the position of a training vehicle and on the basis of a value representative of a quality of the connection of the vehicle to said access point; and predicting a second value representative of a quality of connection to a cellular network at the target location on a road network on the basis of a second characteristic of propagation of a radio signal between the target location and an identified target access point by applying the trained model.

Method and device for predicting a connection quality to a cellular network

A method for predicting at least one parameter representative of a signal quality and/or service quality liable to be delivered to a device when it is connected to one radiofrequency antenna among a plurality of antennas that are configured to establish a connection with said device. The method includes: obtaining at least one parameter of decrease in the signal and/or service quality, predicting at least one parameter representative of a signal and/or service quality by applying at least one prediction model configured to predict at least one parameter representative of a signal quality and/or service quality, on the basis of an estimated parameter of decrease in the signal and/or service quality, and of an indication of a moment and of a position of the device for which the prediction must be carried out, the prediction model having been trained beforehand via supervised learning on a training database.

Method for predicting a signal and/or service quality and associated device

A method for estimating a value representing the frictional behavior of a vehicle being driven on a road segment, including receiving operating parameters of a vehicle including at least, a driving wheel angular velocity, an angular velocity of a free wheel of the vehicle, and vehicle a dynamic characteristic; computing a first ratio between the driving wheel angular velocity and the angular velocity of a free wheel of the vehicle, which are acquired when the vehicle is moving substantially in a straight line at a velocity greater than or equal to a first preset threshold; determining, from the received operating parameters, a second ratio between the driving wheel radius and the free wheel radius; determining a slip rate from a product of the first and second determined ratios; and obtaining a value representing the vehicle's frictional behavior by normalizing the determined slip rate using at least the vehicle's dynamic characteristic.

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Toulouse, France

Simon Piriou