CN106740857A - 一种基于多核处理器的智能行车预警系统原型 - Google Patents

一种基于多核处理器的智能行车预警系统原型 Download PDF

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Publication number
CN106740857A
CN106740857A CN201710013922.XA CN201710013922A CN106740857A CN 106740857 A CN106740857 A CN 106740857A CN 201710013922 A CN201710013922 A CN 201710013922A CN 106740857 A CN106740857 A CN 106740857A
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Prior art keywords
polycaryon processor
early warning
travelling crane
multisensor
warning system
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CN201710013922.XA
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张军
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Shanghai DC Science Co Ltd
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Individual
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B60W40/06—Road conditions
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B60W2050/0043—Signal treatments, identification of variables or parameters, parameter estimation or state estimation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0062—Adapting control system settings
    • B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/143—Alarm means

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Traffic Control Systems (AREA)

Abstract

本发明公开一种基于多核处理器的智能行车预警系统原型，利用多传感器获得车辆前方道路状况和行驶数据，使用多核处理器，对多传感器进行信息融合，再利用控制单元，控制执行器和警告装置，并使用嵌入式实时操作系统，从而大大减少车辆事故发生。

Description

一种基于多核处理器的智能行车预警系统原型
技术领域
本发明涉及一种基于多核处理器的智能行车预警系统原型
背景技术
为了实现汽车安全辅助驾驶技术研究的主要目的，需要通过安装在车辆上的各种传感器(被动红外相机、工业照相机、微波雷达、激光雷达等)掌握本车、道路、以及周围车辆的状况等信息，辅助驾驶人增加环境感知的能力，并为其提供预警信号。
融合多传感器的信息可以得到单个传感器难以得到的性能，主要体现在提高了信息冗余性与互补性。信息融合具有的性能优势主要体现为：提高了信息的可信度和目标的可探测性，扩大了时间和空间的搜索范围，降低了推理模糊程度，改进了探测性能，增加了目标特征矢量的维数，提高了空间分辨率，增强了系统的容错能力和自适应性。
多核处理器是指在一枚处理器中集成两个或多个完整的计算引擎(内核)，此时处理器能支持系统总线上的多个处理器，由总线控制器提供所有总线控制信号和命令信号。多核处理器的运用为多传感器信息融合提供了技术保障。
目前，汽车自主驾驶系统主要由驾驶控制子系统和环境识别子系统组成，环境识别子系统由道路标志线识别和前方车辆识别两个分系统组成，驾驶控制子系统包括行为决策、行为规划以及操作控制等主要模块。但相机之间功能分离，不利于发挥多目相机的综合作用，既不能探测多目标，又不能提供目标深度信息；而且相机与其它传感器分离，也不利于多传感器的融合。
本发明提供了一种基于多核处理器的智能行车预警系统原型，利用多传感器获得车辆前方道路状况和行驶数据，使用多核处理器，对多传感器进行信息融合，再利用控制单元，控制执行器和警告装置，并使用嵌入式实时操作系统，从而大大减少车辆事故发生。
发明内容
本发明的目的在于提供一种基于多核处理器的智能行车预警系统原型。本发明包括以下特征：
发明技术方案
1.一种基于多核处理器的智能行车预警系统架构，其具体步骤如下：
1)利用多传感器获得车辆前方道路状况和行驶数据；
2)使用多核处理器，对多传感器进行信息融合；
3)再利用控制单元，控制执行器和警告装置。
2.基于权利要求1的架构，使用嵌入式实时操作系统，确保系统的实时性和可靠性。
附图说明
图1是基于多核处理器的智能行车预警系统原型图。
具体实施方式
这种基于多核处理器的智能行车预警系统原型，包括如下步骤：
1)利用多传感器获得车辆前方道路状况和行驶数据；
2)使用多核处理器，对多传感器进行信息融合；
3)再利用控制单元，控制执行器和警告装置；
4)使用嵌入式实时操作系统，确保系统的实时性和可靠性。

Claims (2)

1.一种基于多核处理器的智能行车预警系统架构，其具体步骤如下：
1)利用多传感器获得车辆前方道路状况和行驶数据；
2)使用多核处理器，对多传感器进行信息融合；
3)再利用控制单元，控制执行器和警告装置。
2.基于权利要求1的架构，使用嵌入式实时操作系统，确保系统的实时性和可靠性。
CN201710013922.XA 2017-01-09 2017-01-09 一种基于多核处理器的智能行车预警系统原型 Pending CN106740857A (zh)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080065328A1 (en) * 2006-09-08 2008-03-13 Andreas Eidehall Method and system for collision avoidance
US7565230B2 (en) * 2000-10-14 2009-07-21 Temic Automotive Of North America, Inc. Method and apparatus for improving vehicle operator performance
CN101813492A (zh) * 2010-04-19 2010-08-25 清华大学 车辆导航系统及方法
US20100228419A1 (en) * 2009-03-09 2010-09-09 Gm Global Technology Operations, Inc. method to assess risk associated with operating an autonomic vehicle control system
CN105835820A (zh) * 2016-04-28 2016-08-10 姜锡华 车载传感器信息筛选方法及应用该方法的车辆避撞系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7565230B2 (en) * 2000-10-14 2009-07-21 Temic Automotive Of North America, Inc. Method and apparatus for improving vehicle operator performance
US20080065328A1 (en) * 2006-09-08 2008-03-13 Andreas Eidehall Method and system for collision avoidance
US20100228419A1 (en) * 2009-03-09 2010-09-09 Gm Global Technology Operations, Inc. method to assess risk associated with operating an autonomic vehicle control system
CN101813492A (zh) * 2010-04-19 2010-08-25 清华大学 车辆导航系统及方法
CN105835820A (zh) * 2016-04-28 2016-08-10 姜锡华 车载传感器信息筛选方法及应用该方法的车辆避撞系统

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Application publication date: 20170531