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Development of Image Processing Algorithms for Obstacle Avoidance on Unmanned Tractor

机译：无人拖拉机避免避障的图像处理算法的开发

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Usman Ahmad; I Dewa Made Subrata; Sjahrul Annas;
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年度 2010
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1. Robot Navigation Control Based on Monocular Images: An Image Processing Algorithm for Obstacle Avoidance Decisions [J] . William Benn, Stanislao Lauria Mathematical Problems in Engineering . 2012,第pta10期

机译：基于单眼图像的机器人导航控制：避障决策的图像处理算法
2. Robot Navigation Control Based on Monocular Images: An Image Processing Algorithm for Obstacle Avoidance Decisions [J] . WilliamBenn, StanislaoLauria Mathematical Problems in Engineering: Theory, Methods and Applications . 2012,第2期

机译：基于单眼图像的机器人导航控制：避障决策的图像处理算法
3. Developing a navigation, guidance and obstacle avoidance algorithm for an Unmanned Surface Vehicle (USV) by algorithms fusion [J] . Mousazadeh Hossein, Jafarbiglu Hamid, Abdolmaleki Hamid, Ocean Engineering . 2018,第JULa1期

机译：通过算法融合开发无人水面车辆（USV）的导航，制导和避障算法
4. Image Preprocessing of Obstacle Avoidance for Underground Unmanned Aerial Vehicle Based on Monocular Vision [C] . Minghui Zhao, Dongbo Wang, Xiliang Xu, Asia-Pacific Conference on Intelligent Robot Systems . 2020

机译：基于单目视觉的地下无人飞行器避障图像预处理
5. Development of computational image processing algorithms for detecting morphological features of melanoma. [D] . Chamani, Alireza. 2014

机译：开发用于检测黑素瘤形态特征的计算图像处理算法。
6. Development of an Improved Rapidly Exploring Random Trees Algorithm for Static Obstacle Avoidance in Autonomous Vehicles [O] . S. M. Yang, Y. A. Lin 2021

机译：自主车辆中静态障碍避免改进的快速探索随机树木算法的发展
7. Development of a Bio-inspired Vision System for Mobile Micro-robots:In this paper, we present a new bio-inspired vision system for mobile micro-robots. The processing method takes inspiration from vision of locusts in detecting the fast approaching objects. Research suggested that locusts use wide-field visual neuron called the lobula giant movement detector to respond to imminent collisions. We employed the locusts' vision mechanism to motion control of a mobile robot. The selected image processing method is implemented on a developed extension module using a low-cost and fast ARM processor. The vision module is placed on top of a micro-robot to control its trajectory and to avoid obstacles. The observed results from several performed experiments demonstrated that the developed extension module and the inspired vision system are feasible to employ as a vision module for obstacle avoidance and motion control. [O] . Hu, Cheng, Arvin, Farshad, Yue, Shigang 2014

机译：开发用于移动微型机器人的生物启发视觉系统：在本文中，我们提出了一种用于移动微型机器人的新型生物启发视觉系统。该处理方法从检测快速接近物体的蝗虫视觉中获取灵感。研究表明，蝗虫使用称为小叶巨型运动探测器的宽视野神经元来应对即将发生的碰撞。我们采用蝗虫的视觉机制来控制移动机器人。所选择的图像处理方法使用低成本且快速的aRm处理器在开发的扩展模块上实现。视觉模块放置在微型机器人的顶部以控制其轨迹并避开障碍物。几次进行的实验观察到的结果表明，开发的扩展模块和灵感视觉系统可用作避障和运动控制的视觉模块。
8. Millimeter-Wave Imaging Radiometer (MIR) Data Processing and Development of Water Vapor Retrieval Algorithms [R] . Chang, L. A. 1998

机译：毫米波成像辐射计（mIR）数据处理和水汽检索算法的开发

Development of Image Processing Algorithms for Obstacle Avoidance on Unmanned Tractor

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