Multi-user augmented reality with communication efficient and spatially consistent virtual objects
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[1] Renaud Dubé,et al. An online multi-robot SLAM system for 3D LiDARs , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[2] Danping Zou,et al. CoSLAM: Collaborative Visual SLAM in Dynamic Environments , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Kittipat Apicharttrisorn,et al. Frugal following: power thrifty object detection and tracking for mobile augmented reality , 2019, SenSys.
[4] Francisco José Madrid-Cuevas,et al. Automatic generation and detection of highly reliable fiducial markers under occlusion , 2014, Pattern Recognit..
[5] Qiang Liu,et al. DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing , 2018, 2018 IEEE 26th International Conference on Network Protocols (ICNP).
[6] Karthik Dantu,et al. Edge-SLAM: edge-assisted visual simultaneous localization and mapping , 2020, MobiSys.
[7] Fakhri Karray,et al. Multi-robot SLAM: An Overview and Quantitative Evaluation of MRGS ROS Framework for MR-SLAM , 2017, RiTA.
[8] Feng Qian,et al. CARS: Collaborative Augmented Reality for Socialization , 2018, HotMobile.
[9] Mahadev Satyanarayanan,et al. Towards wearable cognitive assistance , 2014, MobiSys.
[10] Alex Zelinsky,et al. Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf] , 2009, IEEE Robotics & Automation Magazine.
[11] Carlee Joe-Wong,et al. CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality , 2020, 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).
[12] Justin Manweiler,et al. OverLay: Practical Mobile Augmented Reality , 2015, MobiSys.
[13] Rafael Muñoz-Salinas,et al. Speeded up detection of squared fiducial markers , 2018, Image Vis. Comput..
[14] Marco Gruteser,et al. Edge Assisted Real-time Object Detection for Mobile Augmented Reality , 2019, MobiCom.
[15] Zhenming Liu,et al. DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.
[16] Michael Gassner,et al. SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems , 2017, IEEE Transactions on Robotics.
[17] Kyoung Shin Park,et al. Effects of network characteristics on human performance in a collaborative virtual environment , 1999, Proceedings IEEE Virtual Reality (Cat. No. 99CB36316).
[18] Yubin Kuang,et al. Revisiting the PnP Problem: A Fast, General and Optimal Solution , 2013, 2013 IEEE International Conference on Computer Vision.
[19] Gary R. Bradski,et al. Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library , 2016 .
[20] Richard L. Holloway,et al. Registration errors in augmented reality systems , 1996 .
[21] Guohui Wang,et al. Practical Urban Localization for Mobile AR , 2020, HotMobile.
[22] Randy H. Katz,et al. MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency , 2018, SenSys.
[23] Rittwik Jana,et al. Characterization of Multi-User Augmented Reality over Cellular Networks , 2020, 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
[24] Wolfram Burgard,et al. A benchmark for the evaluation of RGB-D SLAM systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[25] Bo Han,et al. Jaguar: Low Latency Mobile Augmented Reality with Flexible Tracking , 2018, ACM Multimedia.
[26] Feng Zheng,et al. Spatio-temporal registration in augmented reality , 2015 .
[27] Juan D. Tardós,et al. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2016, IEEE Transactions on Robotics.
[28] Andrew Howard,et al. Multi-robot Simultaneous Localization and Mapping using Particle Filters , 2005, Int. J. Robotics Res..
[29] Bo Han,et al. Low Latency Mobile Augmented Reality with Flexible Tracking , 2018, MobiCom.
[30] Hujun Bao,et al. Survey and evaluation of monocular visual-inertial SLAM algorithms for augmented reality , 2019, Virtual Real. Intell. Hardw..
[31] Patrik Schmuck,et al. Multi-UAV collaborative monocular SLAM , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[32] Shaojie Shen,et al. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator , 2017, IEEE Transactions on Robotics.
[33] Ramesh Govindan,et al. CarMap: Fast 3D Feature Map Updates for Automobiles , 2020, NSDI.
[34] Syed Riaz un Nabi Jafri,et al. A distributed multi robot SLAM system for environment learning , 2013, 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS).
[35] Justin Manweiler,et al. Low Bandwidth Offload for Mobile AR , 2016, CoNEXT.
[36] Mahadev Satyanarayanan,et al. An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance , 2017, SEC.
[37] Hugh F. Durrant-Whyte,et al. Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.
[38] Paramvir Bahl,et al. Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices , 2015, SenSys.
[39] Shaojie Shen,et al. Monocular Visual-Inertial State Estimation for Mobile Augmented Reality , 2017, 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
[40] Robert LiKamWa,et al. GLEAM: An Illumination Estimation Framework for Real-time Photorealistic Augmented Reality on Mobile Devices , 2019, MobiSys.
[41] Ralf Dörner,et al. Accuracy in optical tracking with fiducial markers: an accuracy function for ARToolKit , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.
[42] Dorian Gálvez-López,et al. Bags of Binary Words for Fast Place Recognition in Image Sequences , 2012, IEEE Transactions on Robotics.
[43] Maria Gorlatova,et al. ShareAR: Communication-Efficient Multi-User Mobile Augmented Reality , 2019, HotNets.