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Cross Platform Training of Neural Networks to Enable Object Identification by Autonomous Vehicles

机译：神经网络的跨平台培训，使自动车辆能够实现对象识别

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作者
Sankaramangalam Ulhas, Sangeet.;
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作者单位

Arizona State University.;

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授予单位 Arizona State University.;
学科
学位 M.S.
年度 2019
页码 70 p.
总页数 70
原文格式 PDF
正文语种 eng
中图分类 AAI22592380;
关键词
Autonomous Vehicles; CARLA; Chartopolis; Object Detection; Self Driving; Transfer Learning;

机译：自治车辆;卡拉;Chartopolis;物体检测;自动驾驶;转移学习;

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1. Network Topology Impact on the Identification of Dynamic Network Models with Application to Autonomous Vehicle Platooning ? [J] . Guilherme A. Pimentel, Rafael de Vasconcelos, Aurélio Salton, IFAC PapersOnLine . 2020,第2期

机译：网络拓扑影响对动态网络模型的识别，应用于自主车辆排列？
2. Object Detection with Deep Neural Networks for Reinforcement Learning in the Task of Autonomous Vehicles Path Planning at the Intersection [J] . D. A. Yudin, A. Skrynnik, A. Krishtopik, Optical memory & neural networks . 2019,第4期

机译：具有深层神经网络的对象检测，用于在交叉路口自主车辆路径规划任务中的增强学习
3. Real-time object recognition on image sequences with the adaptable time delay neural network algorithm - applications for autonomous vehicles [J] . C.Wohler, J.K.Anlauf Image and Vision Computing . 2001,第9a10期

机译：自适应时延神经网络算法对图像序列进行实时目标识别-自动驾驶汽车的应用
4. Training Genetic Neural Networks Algorithms for Autonomous Cars with the LAOP Platform [C] . Jihene REZGUI, Léonard OEST O’LEARY, Clément BISAILLON, International Wireless Communications and Mobile Computing Conference . 2019

机译：使用LAOP平台训练自动驾驶汽车的遗传神经网络算法
5. A Preliminary Investigation into Using Artificial Neural Networks to Generate Surgical Trajectories to Enable Semi-Autonomous Surgery in Space [D] . Korte, Christopher M. 2020

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6. Fast Online Coordinate Correction of a Multi-Sensor for Object Identification in Autonomous Vehicles [O] . Wooyoung Lee, Minchul Lee, Myoungho Sunwoo, 2019

机译：多传感器自动识别车辆的在线快速坐标校正
7. Demonstration of Self-Training Autonomous Neural Networks in Space Vehicle Docking Simulations [O] . Patrick M. Clinton, Stevenson-Chavis Katherine, Thaler Stephen L. 2006

机译：自训练自主神经网络在航天器对接仿真中的演示

Cross Platform Training of Neural Networks to Enable Object Identification by Autonomous Vehicles

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