{"title":"基于视觉的深度感知估计光学传感器研究","authors":"Aravind Jinka Venkata, S. Prince","doi":"10.1109/wispnet54241.2022.9767122","DOIUrl":null,"url":null,"abstract":"In this study we analyzed the working of Intel RealSense depth camera D455 which is latest depth sense camera in Intel Family. This visual based optical sensor will be useful for mapping the unknown environment in indoor and outdoor applications and it is also useful for longer range fast moving autonomous robots for inspection and more accurate for collision avoidance capabilities. By understanding the usefulness of visual sensor here we performed experiment on camera position at different places and observed the streaming of depth sense images at different positions, and x, y, z co-ordinates of accelerometer and gyroscope measurements are visualized.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on Visual Based Optical Sensor for Depth Sense Estimation\",\"authors\":\"Aravind Jinka Venkata, S. Prince\",\"doi\":\"10.1109/wispnet54241.2022.9767122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study we analyzed the working of Intel RealSense depth camera D455 which is latest depth sense camera in Intel Family. This visual based optical sensor will be useful for mapping the unknown environment in indoor and outdoor applications and it is also useful for longer range fast moving autonomous robots for inspection and more accurate for collision avoidance capabilities. By understanding the usefulness of visual sensor here we performed experiment on camera position at different places and observed the streaming of depth sense images at different positions, and x, y, z co-ordinates of accelerometer and gyroscope measurements are visualized.\",\"PeriodicalId\":432794,\"journal\":{\"name\":\"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/wispnet54241.2022.9767122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/wispnet54241.2022.9767122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文对英特尔系列最新的深度感测相机——英特尔RealSense深度相机D455的工作原理进行了分析。这种基于视觉的光学传感器将有助于绘制室内和室外应用中的未知环境，也可用于远距离快速移动的自主机器人进行检查，并更准确地避免碰撞。在了解视觉传感器的实用性的基础上，我们在不同位置进行了相机位置实验，观察了不同位置的深度感图像流，并可视化了加速度计和陀螺仪测量的x, y, z坐标。
A Study on Visual Based Optical Sensor for Depth Sense Estimation
In this study we analyzed the working of Intel RealSense depth camera D455 which is latest depth sense camera in Intel Family. This visual based optical sensor will be useful for mapping the unknown environment in indoor and outdoor applications and it is also useful for longer range fast moving autonomous robots for inspection and more accurate for collision avoidance capabilities. By understanding the usefulness of visual sensor here we performed experiment on camera position at different places and observed the streaming of depth sense images at different positions, and x, y, z co-ordinates of accelerometer and gyroscope measurements are visualized.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
