SYSTEM AND METHOD FOR DETERMINING A TARGET VEHICLE SPEED

A machine-learned model is trained using human driving data to determine a desired vehicle speed based from a set of driving-environment characteristics. An autonomous-vehicle control system obtains, from cameras, sensors, services, and data sources, a variety of sensor data. The sensor data is used...

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Bibliographic Details
Main Author AKELLA, Abishek Krishna
Format Patent
LanguageEnglish
French
German
Published 06.09.2023
Subjects
ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL
BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
PERFORMING OPERATIONS
PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OFVEHICLES
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
TRANSPORTING
VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF
VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
VEHICLES IN GENERAL
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Summary:A machine-learned model is trained using human driving data to determine a desired vehicle speed based from a set of driving-environment characteristics. An autonomous-vehicle control system obtains, from cameras, sensors, services, and data sources, a variety of sensor data. The sensor data is used to determine a set of characteristics for the driving-environment for the autonomous vehicle. Using the machine-learned model, the autonomous-vehicle control system determines a human-like desired speed for the autonomous vehicle based at least in part on the determined characteristics of the driving-environment.
Bibliography:Application Number: EP20200832740