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ویرایش: نویسندگان: Péter Galambos, Erdal Kayacan, Kurosh Madani سری: Communications in Computer and Information Science, 1667 ISBN (شابک) : 303119649X, 9783031196492 ناشر: Springer سال نشر: 2022 تعداد صفحات: 240 [241] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 31 Mb
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در صورت تبدیل فایل کتاب Robotics, Computer Vision and Intelligent Systems: First International Conference, ROBOVIS 2020, Virtual Event November 4–6, 2020, and Second International Conference ROBOVIS 2021, Virtual Event, October 27–28, 2021 Revised Selected Papers به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب رباتیک، بینایی کامپیوتری و سیستم های هوشمند: اولین کنفرانس بین المللی، ROBOVIS 2020، رویداد مجازی 4 تا 6 نوامبر 2020، و دومین کنفرانس بین المللی ROBOVIS 2021، رویداد مجازی، 27 تا 28 اکتبر 2021 مقالات منتخب اصلاح شده نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این جلد شامل مقالات دو کارگاه آموزشی است که همزمان با اولین کنفرانس بین المللی رباتیک، بینایی کامپیوتر و سیستم های هوشمند، رویداد مجازی ROBOVIS 2020، در 4 تا 6 نوامبر 2020 و دومین کنفرانس بین المللی رباتیک، بینایی کامپیوتر و هوشمند برگزار شد. Systems، ROBOVIS 2021، رویداد مجازی، در 25-27 اکتبر 2021. 11 مقاله کامل اصلاح شده ارائه شده در این کتاب با دقت بررسی و از بین 53 مورد ارسالی انتخاب شدند.
This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2021, Virtual Event, in October 25-27, 2021. The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.
Preface Organization Contents Multi-sensorial Environment Perception in Urban Environment 1 Introduction 2 Lidar Based Urban Scene Analysis 2.1 Ground-Obstacle Classification 2.2 Fast Object Separation and Bounding Box Estimation 2.3 Deep Learning Based Object Recognition in the RMB Lidar Data 2.4 Semantic MLS Point Cloud Classification with a 3D CNN Model 2.5 Multimodal Point Cloud Registration 2.6 Frame Level Cross-modal Change Detection 2.7 Automatic Targetless Lidar-Camera Calibration 3 Evaluation of the Proposed Algorithms 3.1 Experiments on RMB Lidar Based Object Perception 3.2 Evaluation of Semantic MLS Point Cloud Segmentation 3.3 Experiments on Point Cloud Registration 3.4 Experiments on Multimodal Change Detection 3.5 Evaluation of Lidar-Camera Calibration 4 Conclusions of the Paper References An Extended Visual Intelligence Scheme for Disassembly in Automated Recycling Routines 1 Introduction 2 Related Work 3 Methods 3.1 Datasets 3.2 Wire Segmentation 3.3 Screw Classification 4 Bookkeeping 5 Experimental Evaluation 5.1 Evaluation Method 5.2 Generalization 6 Discussion and Conclusion References Multi-agent Path Finding and Acting with Small Reflex-Based Mobile Robots 1 Introduction 1.1 Contribution 2 Overview of MAPF 2.1 Classical Discrete MAPF 2.2 Cumulative Objectives in MAPF 2.3 Real-World Complications 3 Optimal MAPF Solvers 3.1 SAT Based Solver 4 Physical Robot: Ozobot Evo 4.1 Important Hardware 4.2 Movement and Line Following 5 Novel Approach 5.1 ESO-Nav: Reflex-Based Navigation 5.2 Improvements from Previous Work 5.3 Expected Problems 6 From Discrete Planning to Physical Acting 6.1 Overview 6.2 Environment 6.3 MAPF Solver 6.4 Acting via Path Animation 6.5 Modifying Ozobot Behavior 7 Experimental Evaluation 7.1 Maps 7.2 Results 7.3 Compilation-Based Approach 8 Conclusion References Design and Experimental Analysis of an Adaptive Cruise Control 1 Introduction 2 Adaptive Cruise Control 2.1 Fuzzy Logic Approach 2.2 Fuzzy Logic-Based ACC 2.3 Designing of Low-Level Control 3 Experimental Setup 3.1 AutoMiny 3.2 Lab Setup 3.3 Steering Control 4 Evaluation 4.1 Steering Control 4.2 Distance Control Mode 4.3 Speed Control Mode 5 Conclusions References Human-Likeness Indicator for Robot Posture Control and Balance 1 Introduction 1.1 Overview 1.2 Description of the Approach 1.3 Human Data-Set 1.4 Performance Indicator 2 Materials and Methods 2.1 Humanoid Robot 2.2 Control System 2.3 Test Protocol 3 Results 4 Discussion 5 Conclusions References Visual Guidance of an On-Orbit Free-Floating Manipulator Using a Mobile Camera 1 Introduction 2 Robotic Spacecraft 3 Visual Servoing of a Manipulator and Estimation of the Target Motion in the Image Space 3.1 Visual Controller Using the Robotic Camera 3.2 Estimation of the Target Spacecraft Motion in the Image Space 3.3 Target Spacecraft Motion Estimation 4 On-Orbit Robot Manipulator Visual Servoing 5 Results 5.1 Visual Controller to Guide the Manipulator in a Single Movement 5.2 Visual Controller to Guide the Manipulator Following Complex Motion Directions 6 Conclusions References Semantic Segmentation of Marine Species in an Unconstrained Underwater Environment 1 Introduction 2 Related Work 3 Materials and Methods 3.1 The Underwater Fish Observatory 3.2 Camera Setup 3.3 Image Data 3.4 PSPNet 3.5 Intersection-over-Union (IoU) 3.6 Optimization Criteria 4 Experiments 4.1 Setup 4.2 Results 4.3 Discussion 4.4 Conclusion References Social Embodiment of Companion Robots in Smart Spaces: IoRT for Independent Living 1 Introduction 2 Related Work 2.1 Centralized Operation and Integration 2.2 Embodied Intelligence and Social Embodiment 3 Proposed Framework 4 Integrating AR Smart Glass with SCRs 4.1 Establishing Bidirectional Communication Between ROS and AR Smart Glass 4.2 Developing a HoloLens Application in Unity 4.3 Publishing to ROS Topics 4.4 Audio and Image Streaming Through ROS Topics 5 Deep Learning Inference on the Edge 5.1 Analysis of Compute Time 5.2 CNN Architecture for FER 5.3 Miro and Jetson Nano Integration: Deep Learning Inference on the Edge 6 Smart Home Integration with Miro-e 7 Remote and Local Supervision of SCRs Through Microsoft's HoloLens 2 7.1 Centralisation: Controlling an SCR from a Remote Location 7.2 Scaleability: Controlling Multiple SCRs Simultaneously 8 Conclusion References Rapid Structure from Motion Frame Selection for Markerless Monocular SLAM 1 Introduction 1.1 New Contributions 2 Related Work 3 Monocular SLAM Map Initialization 3.1 The Essential Matrix 3.2 The Fundamental Matrix 3.3 The Homography Matrix 3.4 Triangulation 4 Model Configurations 4.1 Data Collection 4.2 Labeling Criteria 5 Results 6 Conclusion References Detecting Tool Keypoints with Synthetic Training Data 1 Introduction 2 Related Work 2.1 Keypoint Detection 2.2 Synthetic Training Data 3 Training Data 3.1 Generating Scenes 3.2 Rendering 4 Method 4.1 Network Architecture 4.2 Training on Synthetic Data 5 Results 5.1 Tool Dataset 5.2 Comparison to Other Methods 5.3 Impact of Generalization Techniques 6 Conclusion References Generating Versatile Training Samples for UAV Trajectory Prediction 1 Introduction and Related Work 2 Prediction Models 3 Synthetic Data Generation 4 Evaluation & Analysis 5 Discussion 6 Conclusion References Author Index