In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to...In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to dangerous situations.Furthermore,autonomous vehicles may operate abnormally in bad weather due to limitations of their sensors and GPS.Driving simulators,which replicate driving conditions nearly identical to those in the real world,can drastically reduce the time and cost required for market entry validation;consequently,they have become widely used.In this paper,we design a virtual driving test environment capable of collecting and verifying SiLS data under adverse weather conditions using multi-source images.The proposed method generates a virtual testing environment that incorporates various events,including weather,time of day,and moving objects,that cannot be easily verified in real-world autonomous driving tests.By setting up scenario-based virtual environment events,multi-source image analysis and verification using real-world DCUs(Data Concentrator Units)with V2X-Car edge cloud can effectively address risk factors that may arise in real-world situations.We tested and validated the proposed method with scenarios employing V2X communication and multi-source image analysis.展开更多
简述尿素喷射控制单元(dosing control unit,DCU)的基本工作原理,对DCU的电源模块、信号输入调理模块、输出功率驱动模块、CAN通讯模块等硬件电路进行设计;并对DCU中的尿素喷射量、计量泵状态、车载诊断系统(OBD)等控制策略进行了深入研...简述尿素喷射控制单元(dosing control unit,DCU)的基本工作原理,对DCU的电源模块、信号输入调理模块、输出功率驱动模块、CAN通讯模块等硬件电路进行设计;并对DCU中的尿素喷射量、计量泵状态、车载诊断系统(OBD)等控制策略进行了深入研究;最后将自主开发的DCU与整个选择性催化还原(SCR)系统连接,在发动机台架上进行了欧洲稳态循环(ESC)、欧洲瞬态循环(ETC)及OBD故障诊断试验。试验结果表明:所开发的DCU能较好的控制SCR系统,使柴油机的排放达到国Ⅳ标准,并且可以对SCR系统进行实时故障诊断。展开更多
为了在车门开闭耐久试验中搭载验证车门电器件功能,基于LabVIEW编程语言和PC-CAN信号收发器,编制CAN报文收发程序,实现了在试验过程中对DCU(door control module)的控制。为了提升试验精度,开发出能使机器人在高低温环境下长期运行的混...为了在车门开闭耐久试验中搭载验证车门电器件功能,基于LabVIEW编程语言和PC-CAN信号收发器,编制CAN报文收发程序,实现了在试验过程中对DCU(door control module)的控制。为了提升试验精度,开发出能使机器人在高低温环境下长期运行的混合护甲及工装,结合报文控制和机器人控制,探索出基于机器人的含DCU控制的车门开闭耐久试验台架及试验方法。展开更多
基金supported by Institute of Information and Communications Technology Planning and Evaluation(IITP)grant funded by the Korean government(MSIT)(No.2019-0-01842,Artificial Intelligence Graduate School Program(GIST))supported by Korea Planning&Evaluation Institute of Industrial Technology(KEIT)grant funded by the Ministry of Trade,Industry&Energy(MOTIE,Republic of Korea)(RS-2025-25448249+1 种基金Automotive Industry Technology Development(R&D)Program)supported by the Regional Innovation System&Education(RISE)programthrough the(Gwangju RISE Center),funded by the Ministry of Education(MOE)and the Gwangju Metropolitan City,Republic of Korea(2025-RISE-05-001).
文摘In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to dangerous situations.Furthermore,autonomous vehicles may operate abnormally in bad weather due to limitations of their sensors and GPS.Driving simulators,which replicate driving conditions nearly identical to those in the real world,can drastically reduce the time and cost required for market entry validation;consequently,they have become widely used.In this paper,we design a virtual driving test environment capable of collecting and verifying SiLS data under adverse weather conditions using multi-source images.The proposed method generates a virtual testing environment that incorporates various events,including weather,time of day,and moving objects,that cannot be easily verified in real-world autonomous driving tests.By setting up scenario-based virtual environment events,multi-source image analysis and verification using real-world DCUs(Data Concentrator Units)with V2X-Car edge cloud can effectively address risk factors that may arise in real-world situations.We tested and validated the proposed method with scenarios employing V2X communication and multi-source image analysis.
文摘简述尿素喷射控制单元(dosing control unit,DCU)的基本工作原理,对DCU的电源模块、信号输入调理模块、输出功率驱动模块、CAN通讯模块等硬件电路进行设计;并对DCU中的尿素喷射量、计量泵状态、车载诊断系统(OBD)等控制策略进行了深入研究;最后将自主开发的DCU与整个选择性催化还原(SCR)系统连接,在发动机台架上进行了欧洲稳态循环(ESC)、欧洲瞬态循环(ETC)及OBD故障诊断试验。试验结果表明:所开发的DCU能较好的控制SCR系统,使柴油机的排放达到国Ⅳ标准,并且可以对SCR系统进行实时故障诊断。
文摘为了在车门开闭耐久试验中搭载验证车门电器件功能,基于LabVIEW编程语言和PC-CAN信号收发器,编制CAN报文收发程序,实现了在试验过程中对DCU(door control module)的控制。为了提升试验精度,开发出能使机器人在高低温环境下长期运行的混合护甲及工装,结合报文控制和机器人控制,探索出基于机器人的含DCU控制的车门开闭耐久试验台架及试验方法。
