自主机器人的垃圾检测与路径规划

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI:10.1109/icrito51393.2021.9596382

S. S. Chandra, Medhasvi Kulshreshtha, Princy Randhawa

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引用次数: 3

摘要

本文对此类机器人及其原型进行了深入的综述，以实现探测和拾取垃圾的动机。本文阐述了基于图像处理和机器学习/深度学习的目标检测的路径规划和垃圾检测方法，如YOLOv3, SSD-MobileNet, AlexNet-SSD等，随后分别发表了不同的论文。在一些文章中甚至提到了地图分割的ROS实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Garbage Detection and Path-Planning in Autonomous Robots

This paper provides an in-depth review of such Robots and their prototypes that were developed to achieve a motive of detecting and picking trash. The varied approaches of path-planning and Trash detection with the help of image-processing and object-detection using machine learning/deep learning like YOLOv3, SSD-MobileNet, AlexNet-SSD etc. followed by different papers are elucidated in this paper. There was even implementation of ROS in some articles for map segmentation.

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来源期刊

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

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