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International Journal of Vehicle Autonomous Systems最新文献

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Development of autopilot control algorithm for an unmanned aerial vehicle based on simulation 基于仿真的无人机自动驾驶仪控制算法研究
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijvas.2023.10057322
Jae Cheon Lee, Hao Liu, Masri Hakiki
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引用次数: 0
Performance evaluation of low-resolution monocular vision-based velocity estimation technique for moving obstacle detection and tracking 基于低分辨率单目视觉的运动障碍物检测与跟踪速度估计技术性能评价
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijvas.2023.10059212
P.V. Manivannan, R. Rajesh
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引用次数: 0
Blockchain and IoT architectures in autonomous vehicles 区块链和物联网架构在自动驾驶汽车
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.10058616
K. Chennam, V. Maheswari, Swapna Mudrakola, Dr Rajanikanth Aluvalu
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引用次数: 0
The development of a GPS-based autonomous quadcopter towards precision landing on moving platform 面向移动平台精确着陆的gps自主四轴飞行器的研制
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.133006
M. F. Khyasudeen, N. Buniyamin, S. Azzuhri, Muhammad Badri Mhd Noor, Mohamad Hakim Bin Abu Bakar, Mohamad Faizal Abd Rahman, N. I. Kamel, Aliff Shariffuddin, I. Amiri
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引用次数: 0
Development of autopilot control algorithm for an unmanned aerial vehicle based on simulation 基于仿真的无人机自动驾驶仪控制算法研究
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.133021
Masri Hakiki, Hao Liu, Jae Cheon Lee
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引用次数: 0
Decoupled 3-D object detector 解耦三维目标检测器
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.133008
Moemen Arafa, A. Osama, M. Abdelaziz, M. Ghoneima, Fernando Quiles García, S. Maged
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引用次数: 0
Traffic sign recognition using deep learning 使用深度学习的交通标志识别
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.10058612
Joy Mehta, Saurab Iyer, Ankita Sharma, Vrajna Patel
- Traffic Sign Detection and Recognition can be used as driver assistance which also ensures contributing to safety of drivers, pedestrians and vehicles. The usage personal vehicles cars or Two Wheelers are increased during and after COVID-19. The heavy traffic, congestion and fast driving, leads to traffic accidents which caused a lot of personal injury or property loss. In such scenario, the country like India requires traffic signs on road side so that the drivers aware the status of road and able to convey the important traffic information to the driver. In modern artificial intelligence era, this traffic sign are recognized by intelligence system and can be used for voice or any other applications. In our project, the traffic sign was recognized with highest accuracy using Machine Learning Algorithms. To collect the traffic sign data from the road, the camera from cars are used. The Various factors which affected the identification of traffic signs are lighting factors, light intensity. These factors lead to image exposure, light weakness that result in dim, blurred and corroded image. The Convolution Neural Network deep learning algorithm used to find the accuracy of image recognition. the accuracy Calculated as the value of RMSE or MSE. This project designed an improved CNN uses convolution pooling to extract low-dimensional features and high- dimensional features of images to achieve higher accuracy and lightweight models.
-交通标志侦测及识别系统可作为驾驶辅助系统,确保司机、行人及车辆的安全。在新冠肺炎期间和之后,私家车或两轮车的使用量有所增加。交通繁忙、拥挤和快速驾驶导致交通事故,造成了大量的人身伤害或财产损失。在这种情况下,像印度这样的国家需要在路边设置交通标志,以便驾驶员了解道路的状况,并能够向驾驶员传达重要的交通信息。在现代人工智能时代,这种交通标志被智能系统识别,可以用于语音或任何其他应用。在我们的项目中,使用机器学习算法以最高的准确率识别交通标志。为了从道路上收集交通标志数据,使用了汽车上的摄像头。影响交通标志识别的各种因素有照明因素、光照强度。这些因素导致图像曝光、光弱,导致图像暗淡、模糊和腐蚀。利用卷积神经网络深度学习算法寻找图像识别的准确性。the accuracy计算RMSE或MSE的值。本课题设计了一种改进的CNN,利用卷积池提取图像的低维特征和高维特征,以达到更高的准确率和模型的轻量化。
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引用次数: 0
Distributed implementation of network simulations for large-scale vehicle-to-everything applications 大规模车联网应用的分布式网络模拟实现
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.10058620
C. B. Math, Nagacharan Teja Tangirala, Anuj Abraham, Pranjal Vyas
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引用次数: 0
Practical ideas on slip controller activation criterion, slip estimator initialisation and optimiser interface 滑移控制器激活判据、滑移估计器初始化和优化器接口的实用思想
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.10058619
H. Kashani
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引用次数: 0
A new fractional-order sliding mode controller for the cruise control system of automatic vehicles 一种用于自动车辆巡航控制系统的分数阶滑模控制器
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvas.2022.10058613
Sajjad Sheykhi, Hossein Gholizade Narm
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引用次数: 0
期刊
International Journal of Vehicle Autonomous Systems
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