PATH PREDICTION FOR A VEHICLE
The present invention relates to a method and a system (40) for predicting a near future path and an associated output control signal for a vehicle (1). For the prediction sensor data, vehicle driving data, and road data are collected. An input control signal indicative of an intended driving action...
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Format | Patent |
Language | English French German |
Published |
05.07.2023
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Abstract | The present invention relates to a method and a system (40) for predicting a near future path and an associated output control signal for a vehicle (1). For the prediction sensor data, vehicle driving data, and road data are collected. An input control signal indicative of an intended driving action is received (S608). The sensor data and the vehicle driving data is pre-processed (S610) to provide a set of object data comprising a time series of previous positions of the respective object relative the vehicle, a time series of the previous headings of the objects, and time series of previous velocities of the objects. The object data, the road data, the vehicle driving data, the control signal, and the sensor data is processed (S612) in a deep neural network. Based on the processing in the deep neural network, a predicted path output and an output control signal is provided (S614). |
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AbstractList | The present invention relates to a method and a system (40) for predicting a near future path and an associated output control signal for a vehicle (1). For the prediction sensor data, vehicle driving data, and road data are collected. An input control signal indicative of an intended driving action is received (S608). The sensor data and the vehicle driving data is pre-processed (S610) to provide a set of object data comprising a time series of previous positions of the respective object relative the vehicle, a time series of the previous headings of the objects, and time series of previous velocities of the objects. The object data, the road data, the vehicle driving data, the control signal, and the sensor data is processed (S612) in a deep neural network. Based on the processing in the deep neural network, a predicted path output and an output control signal is provided (S614). |
Author | Mohammadiha, Nasser Movert, Anders |
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Discipline | Medicine Chemistry Sciences Physics |
DocumentTitleAlternate | PRÉDICTION DE TRAJET POUR UN VÉHICULE WEGVORHERSAGE FÜR EIN FAHRZEUG |
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RelatedCompanies | Volvo Car Corporation |
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Snippet | The present invention relates to a method and a system (40) for predicting a near future path and an associated output control signal for a vehicle (1). For... |
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SubjectTerms | BLASTING CALCULATING COMBUSTION ENGINES 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 COMBUSTION ENGINES COUNTING HEATING HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS LIGHTING MECHANICAL ENGINEERING PERFORMING OPERATIONS PHYSICS ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT TRANSPORTING VEHICLES IN GENERAL WEAPONS |
Title | PATH PREDICTION FOR A VEHICLE |
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