Proposal of the road surface friction coefficient real-time estimation method by Yuuki SHIOZAWA, Hiroshi MOURI

“…For Autonomous Driving (AD) system or vehicle behavior control, it is important to know the friction coefficient of the road surface accurately. …”
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The influence of the data packet size on positioning parameters of UWB system for the purpose of tagging smart city infrastructure by K. Hanzel, K. Paszek, D. Grzechca

“…The impact of the transmitted payload to the distance traveled by car opens the door to future research on the possibility of implementing efficient vehicle-to-vehicle (V2V) communication for autonomous driving or and other smart city solutions.…”
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When Wireless Localization Meets Artificial Intelligence: Basics, Challenges, Synergies, and Prospects by Kyeong-Ju Cha, Jung-Bum Lee, Mustafa Ozger, Woong-Hee Lee

“…The rapid development of information communication and artificial intelligence (AI) technology is driving innovation in various new application fields such as autonomous driving, augmented reality, and the metaverse. …”
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Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor by Shaorong Xie, Chao Pan, Yaxin Peng, Ke Liu, Shihui Ying

“…In the field of autonomous driving, carriers are equipped with a variety of sensors, including cameras and LiDARs. …”
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A survey on end‐to‐end point cloud learning by Xikai Tang, Fangzheng Huang, Chao Li, Dayan Ban

“…It has enjoyed continuous development and attracted increasing attention due to its wide applications in many areas, such as artificial intelligence, deep learning, autonomous driving and tracking. Recently, there is a large number of end‐to‐end point cloud‐based deep learning methods being proposed which are successful in the 3D domain. …”
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Semi-Supervised Semantic Segmentation Network for Point Clouds Based on 3D Shape by Liting Zhang, Kun Zhang

“…The semantic segmentation of point clouds has significant applications in fields such as autonomous driving, robot vision, and smart cities. As LiDAR technology continues to develop, point clouds have gradually become the main type of 3D data. …”
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Comparative Study of Path Tracking Controllers on Low Friction Roads for Autonomous Vehicles by Jaepoong Lee, Seongjin Yim

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DBSCAN-Based Tracklet Association Annealer for Advanced Multi-Object Tracking by Jongwon Kim, Jeongho Cho

“…Recently, as the demand for technological advancement in the field of autonomous driving and smart video surveillance is gradually increasing, considerable progress in multi-object tracking using deep neural networks has been achieved, and its application field is also expanding. …”
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Cor<i>Deep</i> and the Sacrobosco Dataset: Detection of Visual Elements in Historical Documents by Jochen Büttner, Julius Martinetz, Hassan El-Hajj, Matteo Valleriani

“…Recent advances in object detection facilitated by deep learning have led to numerous solutions in a myriad of fields ranging from medical diagnosis to autonomous driving. However, historical research is yet to reap the benefits of such advances. …”
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Defogging lens design for infrared laser active imaging by orbital angular momentum meta-surface by Jinming Gao, Jinying Guo, Anli Dai, Guohai Situ

“…This method may find applications in foggy environments for autonomous driving, lidar, and machine vision.…”
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LiDAR–camera fusion for road detection using a recurrent conditional random field model by Lele Wang, Yingping Huang

“…Abstract Reliable road detection is an essential task in autonomous driving systems. Two categories of sensors are commonly used, cameras and light detection and ranging (LiDAR), each of which can provide corresponding supplements. …”
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Efficient three-dimensional point cloud object detection based on improved Complex-YOLO by Yongxin Shao, Zhetao Sun, Aihong Tan, Tianhong Yan

“…Lidar-based 3D object detection and classification is a critical task for autonomous driving. However, inferencing from exceedingly sparse 3D data in real-time is a formidable challenge. …”
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The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection by Serap Tepe

“…In this study, the level of importance of battery capacity, autonomous driving, charging network, price, efficiency and performance criteria were determined. …”
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Challenges of Machine Learning Applied to Safety-Critical Cyber-Physical Systems by Ana Pereira, Carsten Thomas

“…Machine Learning (ML) is increasingly applied for the control of safety-critical Cyber-Physical Systems (CPS) in application areas that cannot easily be mastered with traditional control approaches, such as autonomous driving. As a consequence, the safety of machine learning became a focus area for research in recent years. …”
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Risk Assessment and Enhancement Suggestions for Automated Driving Systems through Examining Testing Collision and Disengagement Reports by Kuo-Wei Wu, Wen-Fang Wu, Chung-Chih Liao, Wei-Ann Lin

“…The California Department of Motor Vehicles (DMV) reports, including disengagement and collision reports, provide information on each accident or disengagement activity for on-road testing of autonomous driving systems (ADSs) and autonomous vehicles (AVs). …”
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A Hybrid Model for Vehicle Acceleration Prediction by Haoxuan Luo, Xiao Hu, Linyu Huang

“…The proposed hybrid method has the potential to enhance the accuracy and reliability of acceleration prediction, enabling applications in various domains, such as autonomous driving, traffic management, and vehicle control.…”
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3D surround local sensing system H/W for intelligent excavation robot (IES) by Dong-Jun Yeom, Hyun-Seok Yoo, Young-Suk Kim

“…The intelligent excavation robot includes features such as autonomous driving, 3D surround modeling, autonomous excavation, loading, etc. …”
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Speed Response Improvement Design of Electric Motor for Vehicle Electrification Based on Electro-Mechanical Analytic Model by Dong-Min Kim, Myung-Seop Lim

“…Especially, electric motors for advanced driver assistant systems or autonomous driving vehicles should have a fast response speed to secure the driver&#x2019;s safety. …”
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Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors by Paweł Pawłowski, Karol Piniarski, Adam Dąbrowski

“…In this paper we present a highly efficient coding procedure, specially designed and dedicated to operate with high dynamic range (HDR) RCCC (red, clear, clear, clear) image sensors used mainly in advanced driver-assistance systems (ADAS) and autonomous driving systems (ADS). The coding procedure can be used for a lossless reduction of data volume under developing and testing of video processing algorithms, e.g., in software in-the-loop (SiL) or hardware in-the-loop (HiL) conditions. …”
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Operation and Control of an Active Power Collector for Roadside Feeding Electric Road System by Saleh A. Ali, Volker Pickert, Mohammed A. Alharbi, Handong Li, Haris Patsios

“…An intelligent motorway system for EVs called tracked electric vehicle (TEV) was proposed to incorporate the latest technologies of dynamic road charging, autonomous driving, and smart city data into transport infrastructure. …”
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