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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Bibliographic Details
Main Authors Mohammadiha, Nasser, Movert, Anders
Format Patent
LanguageEnglish
French
German
Published 05.07.2023
Subjects
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
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Summary: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).
Bibliography:Application Number: EP20170206445