Neural network based modeling and simulation of non-stationary traffic objects for testing and development of autonomous vehicle systems

• Main Author: Anthony, Samuel English
• Format: Patent
• Language: English
• Published: 03.10.2023
• Subjects: 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; SIGNALLING; SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES; TRAFFIC CONTROL SYSTEMS; TRANSPORTING; VEHICLES IN GENERAL

A system performs modeling and simulation of non-stationary traffic entities for testing and development of modules used in an autonomous vehicle system. The system uses a machine learning based model that predicts hidden context attributes for traffic entities that may be encountered by a vehicle i...