A METHOD FOR ASSESSMENT OF A NEURAL NETWORK SUITABLE FOR PERCEPTION OF AN ENVIRONMENT OF A VEHICLE WITH REGARD TO THE SAFE USE, AN ASSISTANCE SYSTEM, A VEHICLE AND A COMPUTER PROGRAM PRODUCT

The invention relates to a method for assessment of a neural network (NN) suitable for perception of an environment of a vehicle (10), in particular of an automated or autonomous driving vehicle,in order to find a neural network (NN), especially among a plurality of neural networks, which is safe fo...

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Bibliographische Detailangaben
Hauptverfasser:	Varghese, Serin, Schneider, Jan David
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES CONTROLLING COUNTING PERFORMING OPERATIONS PHYSICS REGULATING ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	The invention relates to a method for assessment of a neural network (NN) suitable for perception of an environment of a vehicle (10), in particular of an automated or autonomous driving vehicle,in order to find a neural network (NN), especially among a plurality of neural networks, which is safe for the use in the vehicle (10),the method comprising the following steps:- measuring an accuracy of the neural network (NN) in order to provide an accuracy metric (m) of the neural network (NN),- assigning a safety coefficient (γ) to the accuracy metric (m) of the neural network (NN) in order to provide a weighted metric (mr).