Automatic Parking Controller with a Twin Artificial Neural Network Architecture
المؤلفون المشاركون
Moon, Jaeyoung
Bae, Il
Kim, Shiho
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-19
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
We propose an artificial deep neural network- (ANN-) based automatic parking controller that overcomes a stubborn restriction prevalent in traditional approaches.
The proposed ANN learns human-like control laws for automatic parking through supervised learning from a training database generated by computer-aided optimizations or real experiments.
By learning the relationships between the instantaneous vehicle states and the corresponding maneuver parameters, the proposed twin controller yields lateral and longitudinal maneuvering parameters for executing automatic parking tasks in confined spaces.
The proposed automatic parking controller exhibits a twin architecture comprising a main agent and its cloned agent.
Before the main agent assumes a maneuvering action, the cloned agent predicts the consequences of the maneuvering action through a Collision Checking and Adjustment (CCA) system.
The proposed parking agent operates like a human driver in a manner that is characterized by an unplanned trajectory.
In addition, the kinematics of the subject vehicle is not exactly modelled for parking control.
The simulation results demonstrate that the proposed twin agent emulates the attributes of a human driver such as adaptive control and determines the consequences of the tentative maneuvering action under varying kinematic models of the subject vehicle.
We validate the proposed parking controller by simulating the software-in-the-loop architecture using a PreScan simulator in which the dynamics of the virtual vehicle’s behavior resemble a real vehicle.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Moon, Jaeyoung& Bae, Il& Kim, Shiho. 2019. Automatic Parking Controller with a Twin Artificial Neural Network Architecture. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1195765
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Moon, Jaeyoung…[et al.]. Automatic Parking Controller with a Twin Artificial Neural Network Architecture. Mathematical Problems in Engineering No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1195765
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Moon, Jaeyoung& Bae, Il& Kim, Shiho. Automatic Parking Controller with a Twin Artificial Neural Network Architecture. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1195765
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195765
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر