Method for determining the driving limits of a vehicle
First Claim
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1. A method for determining at least one rolling limit of a vehicle moving on a given traffic lane of a roadway, comprising:
- acquiring data characterising plural vehicles, where said data are organised by families each representative of vehicles sharing at least one vehicle characterising parameter, and where a given vehicle belongs to one of the families,acquiring geometric data defining a sample of plural traffic lanes representative of traffic lanes comprising the given traffic lane,acquiring data characterising the sample of plural traffic lanes,learning a neural network with the acquired data characterising plural vehicles, with the acquired geometric data and with the acquired data characterising the sample,obtaining geometric data defining the given traffic lane,obtaining data characterising the given traffic lane,obtaining data defining a vehicle path,obtaining data characterising the given vehicle,determining, in real time, a value for the rolling limits of the given vehicle, comprising;
providing the obtained geometric data, the obtained data charactering the given traffic lane, the obtained data defining the vehicle path and the obtained data characterising the given vehicle in input of the neural network,calculating the rolling limit with the neural network based on the obtained geometric data, the obtained data charactering the given traffic lane, the obtained data defining the vehicle path and the obtained data characterising the given vehicle, andproviding the calculated rolling limit in output of the neural network.
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Abstract
A method for making it possible to set the link between all the types of vehicles and roads with the rolling limits on the roadway is described. This setting can be established from the existing road data bases and from the characteristics of the known vehicles. This method is capable of determining the vehicle rolling limits. A device which can be fitted on any vehicle and capable of implementing the method according to the invention is also disclosed.
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Citations
22 Claims
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1. A method for determining at least one rolling limit of a vehicle moving on a given traffic lane of a roadway, comprising:
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acquiring data characterising plural vehicles, where said data are organised by families each representative of vehicles sharing at least one vehicle characterising parameter, and where a given vehicle belongs to one of the families, acquiring geometric data defining a sample of plural traffic lanes representative of traffic lanes comprising the given traffic lane, acquiring data characterising the sample of plural traffic lanes, learning a neural network with the acquired data characterising plural vehicles, with the acquired geometric data and with the acquired data characterising the sample, obtaining geometric data defining the given traffic lane, obtaining data characterising the given traffic lane, obtaining data defining a vehicle path, obtaining data characterising the given vehicle, determining, in real time, a value for the rolling limits of the given vehicle, comprising; providing the obtained geometric data, the obtained data charactering the given traffic lane, the obtained data defining the vehicle path and the obtained data characterising the given vehicle in input of the neural network, calculating the rolling limit with the neural network based on the obtained geometric data, the obtained data charactering the given traffic lane, the obtained data defining the vehicle path and the obtained data characterising the given vehicle, and providing the calculated rolling limit in output of the neural network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A method for determining at least one rolling limit of a given vehicle moving on a given traffic lane of a roadway, comprising:
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acquiring data characterising plural vehicles, where said data are organised by families each representative of vehicles sharing at least one vehicle characterising parameter, and where the given vehicle belongs to one of the families, acquiring geometric data defining a sample of plural traffic lanes representative of traffic lanes comprising the given traffic lane, acquiring data characterising the sample of plural traffic lanes, learning a neural network with the acquired data characterising plural vehicles, with the acquired geometric data and with the acquired data characterising the sample, obtaining geometric data defining the given traffic lane, obtaining data characterising the given traffic lane, obtaining data defining a vehicle path, obtaining data characterising the given vehicle, determining, in real time, a value for the rolling limit of the given vehicle comprising; providing the obtained geometric data, the obtained data charactering the given traffic lane, the obtained data defining the vehicle path and the obtained data characterising the given vehicle in input of the neural network, calculating the rolling limit with the neural network based on the obtained geometric data, the obtained data charactering the given traffic lane, the obtained data defining the vehicle path and the obtained data characterising the given vehicle, and providing the calculated rolling limit in output of the neural network, and refining the data defining the vehicle path comprising; i) defining particular points on the given traffic lane and defining a position thereof, ii) defining relations between the data characterising the given traffic lane, the geometric data defining the given traffic lane, permissible dynamic paths and the particular points, iii) measuring a motion of the given vehicle, iv) deducing an existence of particular points met during the motion, v) determining a relative path of said vehicle among the permissible dynamic paths based on the particular points met during the motion.
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Specification