A Lightweight Long-Term Vehicular Motion Prediction Method Leveraging Spatial Database and Kinematic Trajectory Data by Lu Tao, Yousuke Watanabe, Hiroaki Takada

“…Long-term vehicular motion prediction is a crucial function for both autonomous driving and advanced driver-assistant systems. …”
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Improved Multi-Sensor Fusion Positioning System Based on GNSS/LiDAR/Vision/IMU With Semi-Tight Coupling and Graph Optimization in GNSS Challenging Environments by Jiaming Zhu, Han Zhou, Ziyi Wang, Suli Yang

“…With the development of autonomous driving, precise positioning capabilities are becoming increasingly important. …”
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Lane Endpoint Detection and Position Accuracy Evaluation for Sensor Fusion-Based Vehicle Localization on Highways by Eun Seok Jang, Jae Kyu Suhr, Ho Gi Jung

“…Landmark-based vehicle localization is a key component of both autonomous driving and advanced driver assistance systems (ADAS). …”
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Incremental Coding for Real-Time Remote Control over Bandwidth-Limited Channels and Its Applications in Smart Grids by Yiyu Qiu, Junjie Wu, Wei Chen

“…Remote control over communication networks with bandwidth-constrained channels has attracted considerable recent attention because it holds the promise of enabling a large number of real-time applications, such as autonomous driving, smart grids, and the industrial internet of things (IIoT). …”
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A millimeter-wave automotive radar with high angular resolution for identification of closely spaced on-road obstacles by Ran Sun, Kouhei Suzuki, Yuri Owada, Shigeki Takeda, Masahiro Umehira, Xiaoyan Wang, Hiroshi Kuroda

“…Therefore, despite the existence of multiple objects, angularly close objects with similar distances and relative velocities are recognized as one single object. Autonomous driving requires the accurate recognition of road conditions. …”
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Speed-Adaptive Model-Free Path-Tracking Control for Autonomous Vehicles: Analysis and Design by Marcos Moreno-Gonzalez, Antonio Artuñedo, Jorge Villagra, Cédric Join, Michel Fliess

“…One of the challenges of autonomous driving is to increase the number of situations in which an intelligent vehicle can continue to operate without human intervention. …”
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MAC: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of Vehicles by Long Zhang, Wenjing Cao, Xinxin Zhang, Haitao Xu

“…Internet of Vehicles has become a promising way to realize the evolution from vehicular ad hoc networks and next-generation intelligent transportation system into future autonomous driving scenarios, clean-energy intelligent vehicles, and Smart Cities. …”
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A Vehicle-to-Infrastructure beyond Visual Range Cooperative Perception Method Based on Heterogeneous Sensors by Tong Luo, Long Chen, Tianyu Luan, Yang Li, Yicheng Li

“…Vehicle-to-infrastructure cooperative perception has become an effective method for achieving reliable and higher-level autonomous driving. A vehicle-to-infrastructure cooperative beyond visual range and non-blind area method, based on heterogeneous sensors, was proposed in this study. …”
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Evaluation of Robust Spatial Pyramid Pooling Based on Convolutional Neural Network for Traffic Sign Recognition System by Christine Dewi, Rung-Ching Chen, Shao-Kuo Tai

“…Traffic sign recognition (TSR) is a noteworthy issue for real-world applications such as systems for autonomous driving as it has the main role in guiding the driver. …”
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Frequent and Automatic Update of Lane-Level HD Maps with a Large Amount of Crowdsourced Data Acquired from Buses and Taxis in Seoul by Minwoo Cho, Kitae Kim, Soohyun Cho, Seung-Mo Cho, Woojin Chung

“…Recently, HD maps have become important parts of autonomous driving, from localization to perception and path planning. …”
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Depth and Pixel-Distance Based Attention for Outdoor Semantic Segmentation by Myung-Woo Woo, Seung-Woo Seo

“…Semantic segmentation has been a crucial technology for various practical applications such as autonomous driving. Recently, attempts have been made to improve the performance of semantic segmentation using depth information. …”
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Refining the ONCE Benchmark With Hyperparameter Tuning by Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov

“…In response to the growing demand for 3D object detection in applications such as autonomous driving, robotics, and augmented reality, this work focuses on the evaluation of semi-supervised learning approaches for point cloud data. …”
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Human-like Attention-Driven Saliency Object Estimation in Dynamic Driving Scenes by Lisheng Jin, Bingdong Ji, Baicang Guo

“…In addition, driven by a human-like attention mechanism, SOE-F and SOE-Y can identify and detect the salience, category, and location of objects, providing risk assessment and a decision basis for autonomous driving systems.…”
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Development of Positioning Technology Using LED by So-Hyeon Jo, Joo Woo, Sun Young Kim, Jae-Hoon Jeong

“…Self-localization is an essential need for autonomous driving and mainly requires global positioning system (GPS), thereby using technologies such as LiDAR, Wi-Fi, and visible light communication (VLC). …”
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Autonomous Vehicles: Vehicle Parameter Estimation Using Variational Bayes and Kinematics by Wilfried Wöber, Georg Novotny, Lars Mehnen, Cristina Olaverri-Monreal

“…Localization is thus a critical feature in autonomous driving to define trajectories to follow and enable maneuvers. …”
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EVALUATION AND COMPARISON OF DIFFERENT TIME OF FLIGHT CAMERAS FOR OUTDOOR APPLICATIONS by Z. Qiu, Z. Qiu, J. Martínez-Sánchez, P. Arias

“…By addressing the identified limitations and challenges, researchers and engineers can enhance ToF camera capabilities, ultimately improving their performance and expanding their applicability in outdoor transportation, autonomous driving, and other related smart city fields.…”
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Intelligent Reflecting Surface in 6G Vehicular Communications: A Survey by Yishi Zhu, Bomin Mao, Nei Kato

“…The applications of Intelligent Transportation System (ITS) and autonomous driving in the 6G era heavily rely on the massive information exchange of ultra-wide bandwidth, high reliability, and low latency to guarantee the safety and experience. …”
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An Unsupervised Transfer Learning Framework for Visible-Thermal Pedestrian Detection by Chengjin Lyu, Patrick Heyer, Bart Goossens, Wilfried Philips

“…Dual cameras with visible-thermal multispectral pairs provide both visual and thermal appearance, thereby enabling detecting pedestrians around the clock in various conditions and applications, including autonomous driving and intelligent transportation systems. …”
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A Dead Reckoning Calibration Scheme Based on Optimization with an Adaptive Quantum-Inspired Evolutionary Algorithm for Vehicle Self-Localization by Biao Yu, Hui Zhu, Deyi Xue, Liwei Xu, Shijin Zhang, Bichun Li

“…Parameter calibration is critical for self-localization based on dead reckoning in the control of intelligent vehicles such as autonomous driving. Most traditional calibration methods for robotics control based on dead reckoning rely on data collection with specially designed paths. …”
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Automatic Understanding and Mapping of Regions in Cities Using Google Street View Images by José Carlos Rangel, Edmanuel Cruz, Miguel Cazorla

“…This method can be useful in smart cities and autonomous driving approaches due to the categorization of the zones in a city. …”
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