Full Description
Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner.
This book is a compilation that aims to serve researchers and practitioners in related fields by providing a timely dissemination of recent progress in the areas of autonomous mobility and robotics. The contents of this book are based on a collection of papers presented at the 18th International Conference on Intelligent Autonomous Systems (IAS18 2023), held at the Suwon Convention Center in Suwon, Korea. The conference took place fully in person from July 4 to 7, 2023, with the theme "Impact and Effect of AI on Intelligent Autonomous Systems." It encompassed discussions on theories, applications, and creative innovations in intelligent autonomous systems, covering topics such as autonomous vehicles, intelligent agents, smart sensors and actuators, smart haptics, human-machine interaction, digital twin, digital health, and metaverse, VR, AR, or MR. For ease of reading, the 91 papers have been grouped into five chapters: Chapter 1: Intelligent Autonomous Vehicles; Chapter 2: Autonomous Robots; Chapter 3: Intelligent Perception and Sensors; Chapter 4: Data Fusion and Machine Learning for Intelligent Robots; and Chapter 5: Applied Autonomous Systems.
The articles included in this book underwent a rigorous peer-review process and were presented at the IAS18-2023 conference. For researchers working in the field of intelligent autonomous systems technology, we believe this book provides valuable insights into recent advances in autonomous technologies and applications, thereby enriching their studies. We extend our heartfelt thanks to all the authors and editors who contributed to this edition.
Contents
Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users.- Global Map Generation Using Local Feature Grid Maps for Autonomous Vehicles in Frequently Changing Off-Road Environments.- Revisiting the Minimum Constraint Removal Problem in Mobile Robotics.- RCBEVD: Radar-Camera Fusion in Bird’s Eye View for Detection with Velocity Estimation.- Enhancing Navigational Performance with Holistic Deep-Reinforcement-Learning.- Automatic Lane Change Using Adaptive Grid Map.- Haptic Field and Force Feedback Generation for Wheeled Vehicle Teleoperation on 2.5D Environments.- Factor Graph-based Dense Mapping for Mobile Robot Teams using VDB-Submaps.- System Architecture and Real-World Task Realization of Musculoskeletal Wheeled Robot Musashi-W with Various Hardware Components.- Improvement of Position Error Rate of Docking of Autonomous Mobile Robot with Object Recognition and Ultrasonic Sensor.- MOVRO: Loosely Coupled EKF-Based Monocular Visual Radar Odometry.- Ant-Colony-Inspired Grid Graph Optimization for Improving Logistic Performance of Multi-AMR Systems.- Trajectory Planning of Mobile Robot for Obstacle Avoidance Considering Time and Path Length.- Action Transition Recognition Using Principal Component Analysis for Agricultural Robot Following.- Use of LiDAR and GNSS for Collision Avoidance-Based Adaptive Path Tracking in a Racing Robot.- A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity.
