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1. CN108657163 - Apparatus for controlling autonomous vehicle based on deep learning, and system having the same and method thereof

Office
China
Application Number 201710535665.6
Application Date 27.06.2017
Publication Number 108657163
Publication Date 16.10.2018
Grant Number 108657163
Grant Date 10.06.2022
Publication Kind B
IPC
B60W 10/20
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
10Conjoint control of vehicle sub-units of different type or different function
20including control of steering systems
B60W 30/00
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
B60W 30/08
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
08Predicting or avoiding probable or impending collision
CPC
B60W 10/20
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
10Conjoint control of vehicle sub-units of different type or different function
20including control of steering systems
B60W 30/00
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units ; , or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
B60W 30/08
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units ; , or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
08Active safety systems; predicting or avoiding probable or impending collision ; or attempting to minimise its consequences
G05B 23/0229
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
0205by means of a monitoring system capable of detecting and responding to faults
0218characterised by the fault detection method dealing with either existing or incipient faults
0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
0227Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
0229knowledge based, e.g. expert systems; genetic algorithms
G05B 23/0294
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
0205by means of a monitoring system capable of detecting and responding to faults
0259characterized by the response to fault detection
0286Modifications to the monitored process, e.g. stopping operation or adapting control
0294Optimizing process, e.g. process efficiency, product quality
G06N 3/0427
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0427in combination with an expert system
Applicants HYUNDAI MOTOR CO
现代自动车株式会社
KIA MOTORS CORP
起亚自动车株式会社
Inventors YOU BYUNG YONG
俞炳墉
Agents 北京尚诚知识产权代理有限公司 11322
Title
(EN) Apparatus for controlling autonomous vehicle based on deep learning, and system having the same and method thereof
(ZH) 基于深度学习的自主车辆控制设备及其系统和方法
Abstract
(EN) The invention provides a deep learning-based autonomous vehicle control system, a deep learning-based autonomous vehicle control apparatus, and a deep learning-based autonomous vehicle control method.The deep learning-based autonomous vehicle control system includes: a processor determining an autonomous driving control based on deep learning, correcting an error in determination of the deep learning-based autonomous driving control based on determination of an autonomous driving control based on a predetermined expert rule, and controlling an autonomous vehicle; and a non-transitory computer-readable storage medium storing data for the determination of the deep learning-based autonomous driving control, data for the determination of the expert rule-based autonomous driving control, and information about the error in the determination of the deep learning-based autonomous driving control.
(ZH) 本发明提供一种基于深度学习的自主车辆控制系统、一种基于深度学习的自主车辆控制设备和一种基于深度学习的自主车辆控制方法。基于深度学习的自主车辆控制系统包括:处理器,基于深度学习确定自主驾驶控制,根据基于预定专家规则的自主驾驶控制的确定来修正基于深度学习的自主驾驶控制的确定的误差,以控制自主车辆;以及非临时性计算机可读存储介质,存储用于基于深度学习的自主驾驶控制的确定的数据、用于基于专家规则的自主驾驶控制的确定的数据和与基于深度学习的自主驾驶控制的确定的误差有关的信息。