Monthly Archives: January 2024
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🔬 Thrilled to share our latest publication available online on 23th Jan 2024, “𝗔𝗥𝗗-𝗦𝗟𝗔𝗠: 𝗔𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗮𝗻𝗱 𝗥𝗼𝗯𝘂𝘀𝘁 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗦𝗟𝗔𝗠 𝗨𝘀𝗶𝗻𝗴 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗢𝗯𝗷𝗲𝗰𝘁 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗠𝘂𝗹𝘁𝗶-𝘃𝗶𝗲𝘄 𝗚𝗲𝗼𝗺𝗲𝘁𝗿𝗶𝗰𝗮𝗹 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀,” in the renowned Displays journal by Elsevier, ScienceDirect. This milestone in our research journey is a testament to the dedicated efforts of our team in advancing the field of autonomous navigation. (DOI: https://lnkd.in/dFjft69j)
🌐 Displays, with its broad scope in display technologies and applications, offers the perfect platform for our work. Their commitment to pioneering research aligns seamlessly with the innovative essence of ARD-SLAM. The journal’s impressive metrics – a CiteScore of 4.3 and an Impact Factor of 4.1 – Index in Web of Science, Engineering Index, Current Contents, Cambridge Scientific Abstracts, Scopus, Science Citation Index – underscore the significance of this achievement.
🔍 Our research addresses a critical challenge in Visual Simultaneous Localization and Mapping (SLAM) systems – their struggle in dynamic environments. ARD-SLAM marks a breakthrough, blending global dense optical tracking with cutting-edge geometric methodologies to revolutionize dynamic SLAM.
💡 The crux of ARD-SLAM is its unique dynamic object identification technique, merging geometric and prospective motion data for effective segmentation of moving objects. This crucial development greatly enhances camera ego-motion estimation accuracy.
📈 Enhanced by advanced multi-view geometry methods, ARD-SLAM efficiently manages dynamic scenarios while reducing computational load. Our rigorous testing on TUM RGB-D and Bonn RGB-D benchmark datasets has demonstrated its superiority over established SLAM techniques like ORB-SLAM2/3 and DynaSLAM.
📊 The results are striking: an average reduction in Absolute Trajectory Error (ATE) by 86.1% and in Relative Pose Error (RPE) by 88.0% compared to ORB-SLAM3. Against other SLAM methods, ARD-SLAM shows remarkable improvements in both ATE and RPE metrics.
🚀 This research is a giant leap in SLAM technology, offering a more precise and adaptable solution for real-world autonomous navigation. We’re excited for the impact this will have on the future of this field and look forward to further developments.
Special thanks to the authors Dr. Haidi Ibrahim, Prof. Mohd Zaid Abdullah, Pan Kok Chin, Kevin Lim and Dr-Fatemeh Khozaei Ph.D. FHEA for their valuable insights and contribution.
SLAM #AutonomousNavigation #Robotics #DynamicEnvironments #Elsevier #DisplaysJournal #InnovationInTechnology #ResearchImpact #EngineeringExcellence #ComputerVision #AI
Subhanallah
سُبْحَانَ ٱللَّٰهِ
프픰 ℑ 픱픯픞픳픢픩픢픡 픱픥픯픬픲픤픥 픱픥픢 픈픞픯픱픥
ℑ 픠픞픫’픱 픥픢픩픭 픟픲픱 픫픬픱픦픠픢
픗픥픢 픰픶픪픭픥픬픫픶 ℑ 픥픢픞픯 픞픩픩 픞픯픬픲픫픡
픉픯픬픪 픱픥픢 픰픪픞픩픩픢픰픱 픤픯픞픦픫 픬픣 픰픞픫픡
픗픬 픱픥픢 픣픞픯픞픴픞픶 픭픩픞픫픢픱픰
픗픬 픞 픣픩픬픴픢픯 픭픲픱 픦픫 픯픬픬픱픰 픦픫 픱픥픢 픤픯픬픲픫픡
픈픳픢픯픶 픟픦픯픡 픦픫 픱픥픢 픰픨픶
픈픳픢픯픶 픯픬픠픨 픞픫픡 픢픳픢픯픶 픯픞픦픫픡픯픬픭
픖픞픶픰 픞픰 픦픱 픣픞픩픩픰 픣픯픬픪 픱픥픢 픠픩픬픲픡픰
픈픳픢픯픶 픞픫픱, 픢픳픢픯픶 픭픩픞픫픱
픈픳픢픯픶 픟픯픢픢픷픢 픞픫픡 픞픩픩 픱픥픢 픰픢픞픰
픗픥픢픶 픞픩픩 픰픦픫픤
سبحانك ربي سبحانك
سبحانك ما أعظم شأنك
سبحانك ربي سبحانك
سبحانك ما أعظم شأنك
ندعوك ونرجوا غفرانك
ندعوك ونرجوا غفرانك، ربي
Beautiful Sunset 🌥
🎖
Be Authentic Be Genuine 💭
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Exciting news in the world of migration and mental health research! Our latest manuscript, “Factors Contributing to the Mental Wellbeing of Afghan Migrants in Iran During the COVID-19” has been published in the Journal of Migration and Health (Elsevier, Science Direct), now available online: https://doi.org/10.1016/j.jmh.2024.100211 (10 January 2024, Article 100211).
This pivotal study, a collaborative effort by Prof. Dr. Claus-Christian Carbon, Dr Fatemeh Khozaei Ph.D. FHEA, Prof. Ramayah T., Dr. Nadia Ayub and myself, delves deep into the mental health challenges faced by Afghan migrants during these trying times.
I want to extend my heartfelt gratitude to Prof. Dr. Claus-Christian Carbon. His unparalleled guidance and genuine support were not just instrumental but the backbone of this project. His insights and expertise in the field have been invaluable, and fair to say that this publication would not have been possible without his contributions.
A special thanks also goes to Dr Fatemeh Khozaei Ph.D. FHEA for her dedication and hard work. The success of this research is a testament to the collective effort and commitment of our team.
#mentalhealth #migrationstudies #covid19research #publichealth #socialcohesion #depression #stress #academicpublishing #research #impact #AfghanMigrants #JournalOfMigrationAndHealth #elsevier #sciencedirect #wos #scopus #JCR #Q1Indexed
Alhamdulillah 💞
Great News, Alhamdulillah 😊
Excited to share our latest work now available online in the IEEE (https://ieeexplore.ieee.org/document/10371761): “ᴅʏɴᴀᴍɪᴄ ᴏʙᴊᴇᴄᴛ-ᴀᴡᴀʀᴇ ꜱʟᴀᴍ: ʏᴏʟᴏᴠ8 ɪɴᴛᴇɢʀᴀᴛɪᴏɴ ᴀɴᴅ ᴇɴʜᴀɴᴄᴇᴅ ᴍᴜʟᴛɪ-ᴠɪᴇᴡ ɢᴇᴏᴍᴇᴛʀʏ ꜰᴏʀ ʀᴇʟɪᴀʙʟᴇ ᴍᴀᴘᴘɪɴɢ ɪɴ ᴅʏɴᴀᴍɪᴄ ᴇɴᴠɪʀᴏɴᴍᴇɴᴛ.” This research is a collaborative effort with esteemed colleagues Qamar Ul Islam, Haidi Ibrahim, Pan Kok Chin, Kevin Lim, and Mohd Zaid Abdullah.
🔍 In this paper, we introduce YoloV8-SLAM, a groundbreaking approach that revolutionizes Visual Simultaneous Localization and Mapping (VSLAM) systems. Our method skillfully integrates dynamic object identification and advanced multi-view geometry techniques. By employing YoloV8, a leading-edge object detection algorithm, alongside Enhanced Multi-View Geometry, we effectively handle various dynamic scenarios.
📊 Our extensive experiments reveal that YoloV8-SLAM significantly outperforms existing and state-of-the-art SLAM systems. We achieved remarkable reductions in Absolute Trajectory Error (ATE) and Relative Pose Error (RPE) – up to 89.1% and 88.0% respectively when compared to ORB-SLAM3. The superiority of our method is also evident against DynaSLAM, ORB-SLAM2, and DM-SLAM, with reductions exceeding 39.8% in ATE and 66.4% in RPE.
Qamar ul Islam 