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Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment

机译：通过增加“感知/感受”当地环境的能力，提高自主无人地面车辆的移动性能

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摘要

This paper explores how a ‘learning‘ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling‘ using incorporated sensors, which would in turn increase its situational awareness. Once the conditions are measured the system will log the results and a database can be built up of terrain types and their properties (terrain classification), therefore when it comes to operating autonomously in an unknown, unpredictable environment, the vehicle will be able to cope by identifying the terrain and situation and then decide on the best and most efficient way to travel over it by making adjustments, which would greatly improve the vehicles ability to operate autonomously

机译：本文探讨了如何将UGV中的“学习”算法添加到UGV中，使其具有使用内置传感器通过“感觉”来测试地形的能力，从而提高了其态势感知能力。测量条件后，系统将记录结果，并可以建立地形类型及其属性（地形分类）的数据库，因此，在未知，不可预测的环境中自主操作时，车辆将能够应对通过识别地形和状况，然后通过进行调整来确定最佳和最有效的行驶方式，这将大大提高车辆自主驾驶的能力

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作者
Odedra, Siddharth; Prior, Stephen D.; Karamanoglu, Mehmet;
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年度 2007
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原文格式 PDF
正文语种 {"code":"en","name":"English","id":9}
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专利

1. Optimal Path Planning for a Remote Sensing Unmanned Ground Vehicle in a Hazardous Indoor Environment [J] . Mohammad R. Alenezi, Abdullah M. Almeshal Intelligent Control and Automation . 2018,第4期

机译：室内危险环境下遥感无人地面车辆的最优路径规划
2. Optimal Path Planning for a Remote Sensing Unmanned Ground Vehicle in a Hazardous Indoor Environment [J] . Mohammad R. Alenezi, Abdullah M. Almeshal Intelligent control and automation . 2018,第4期

机译：危险室内环境中遥感无人地面车辆的最佳路径规划
3. Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments [J] . Raul Fernandez Rojas, Essam Debie, Justin Fidock, Frontiers in Neuroscience . 2020,第4期

机译：脑电图工作负载指示器在无人驾驶的空中车辆牧羊人在竞争环境中牧羊人牧羊人牧羊人
4. Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to 'Sense/Feel' Their Local Environment [C] . Siddharth Odedra, Stephen D. Prior, Mehmet Karamanoglu International Conference on Virtual Reality(ICVR 2007); 20070722-27; Beijing(CN) . 2007

机译：通过增加“感知/感知”其本地环境的能力来改善自动无人地面车辆的机动性能
5. The Reference Autonomous Mobility Model: A Framework for Predicting Autonomous Unmanned Ground Vehicle Performance [D] . Durst, Phillip J. 2019

机译：参考自主机动性模型：预测自主无人机性能的框架
6. Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments [O] . Raul Fernandez Rojas, Essam Debie, Justin Fidock, 2020

机译：脑电图工作负载指示器在无人驾驶的空中车辆牧羊人在竞争环境中牧羊人牧羊人牧羊人
7. Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to 'Sense/Feel' their local environment. [O] . Karamanoglu, Mehmet, Odedra, Sid, Prior, Stephen D. 2007

机译：通过增加“感知/感知”其本地环境的功能来提高自动无人驾驶地面车辆的机动性能。
8. Advanced Mobility Testbed for Dynamic Semi-Autonomous Unmanned Ground Vehicles. [R] . Jayakumar, P., Jain, A., Poplawski, J., 2015

机译：动态半自动无人地面车辆的先进机动性试验台。

Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment

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