A Staged Real-Time Ground Segmentation Algorithm of 3D LiDAR Point Cloud by Weiye Deng, Xiaoping Chen, Jingwei Jiang

“…Ground segmentation is a crucial task in the field of 3D LiDAR perception for autonomous driving. It is commonly used as a preprocessing step for tasks such as object detection and road extraction. …”
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Decision-Making in Fallback Scenarios for Autonomous Vehicles: Deep Reinforcement Learning Approach by Cheonghwa Lee, Dawn An

“…The fallback technique attempts to mitigate or escape risky driving conditions by responding to appropriate avoidance maneuvers essential for achieving a Level 4+ autonomous driving system. However, developing a fallback technique is difficult because of the innumerable fallback situations to address and eligible optimal decision-making among multiple maneuvers. …”
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Point Cloud Completion Network Applied to Vehicle Data by Xuehan Ma, Xueyan Li, Junfeng Song

“…With the development of autonomous driving, augmented reality, and other fields, it is becoming increasingly important for machines to more accurately and comprehensively perceive their surrounding environment. …”
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Vibration Diagnostic Methods of Automatic Transmission Service Requirement Prediction by Péter Őri, Szabolcs Kocsis Szürke, Dmytro Kurhan, Mykola Sysyn, István Lakatos, Szabolcs Fischer

“…Automatic transmission is a key factor for autonomous driving. The transmission condition is highly affected by the quality and quantity of transmission oil in the system. …”
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Multi-Object Pedestrian Tracking Using Improved YOLOv8 and OC-SORT by Xin Xiao, Xinlong Feng

“…Multi-object pedestrian tracking plays a crucial role in autonomous driving systems, enabling accurate perception of the surrounding environment. …”
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Development of an Ethernet-Based Heuristic Time-Sensitive Networking Scheduling Algorithm for Real-Time In-Vehicle Data Transmission by Hyeong-Jun Kim, Min-Hee Choi, Mah-Ho Kim, Suk Lee

“…The rapid development and adaptation of advanced driver assistance systems (ADAS) and autonomous driving increases the burden of in-vehicle networks. …”
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Enhancing Autonomous Vehicle Stability through Pre-Emptive Braking Control for Emergency Collision Avoidance by Fei Lai, Xiaoyu Wang

“…The proposed integrated control strategy has a positive impact on the safety of autonomous vehicles, and it can also provide reference for the research and development of autonomous driving systems.…”
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A Refined-Line-Based Method to Estimate Vanishing Points for Vision-Based Autonomous Vehicles by Shengyao Shen, Shanshan Wang, Luping Wang, Hui Wei

“…Helping vehicles estimate vanishing points (VPs) in traffic environments has considerable value in the field of autonomous driving. It has multiple unaddressed issues such as refining extracted lines and removing spurious VP candidates, which suffers from low accuracy and high computational cost in a complex traffic environment. …”
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A Novel Lightweight Real-Time Traffic Sign Detection Integration Framework Based on YOLOv4 by Yang Gu, Bingfeng Si

“…More importantly, the related theories have certain application potential in technology industries such as artificial intelligence or autonomous driving.…”
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A System Architecture of a Fusion System for Multiple LiDARs Image Processing by Minwoo Jung, Dae-Young Kim, Seokhoon Kim

“…As LiDAR sensors become increasingly popular in the field of autonomous driving, the results of this study can be expected to make a substantial contribution to technology development in this domain.…”
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Motion Capture for Sporting Events Based on Graph Convolutional Neural Networks and Single Target Pose Estimation Algorithms by Chengpeng Duan, Bingliang Hu, Wei Liu, Jie Song

“…It serves as the basis for several computer vision tasks, such as human tracking, 3D reconstruction, and autonomous driving. Improving the accuracy of pose estimation has significant implications for the advancement of computer vision. …”
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Raindrop-Removal Image Translation Using Target-Mask Network with Attention Module by Hyuk-Ju Kwon, Sung-Hak Lee

“…Image processing plays a crucial role in improving the performance of models in various fields such as autonomous driving, surveillance cameras, and multimedia. …”
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Network adaptation for color image semantic segmentation by Taeg‐Hyun An, Jungyu Kang, Kyoung‐Wook Min

“…The proposed method helps to achieve improved results without changing the complexity of the baseline network model, and is especially helpful in applications with limited resources, such as autonomous driving, augmented reality. Experiments were performed on a combination of datasets (i.e. …”
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4D radar simulator for human activity recognition by Junyu Zhou, Julien Le Kernec

“…With the MIMO antenna array, 4D radar is increasingly employed in autonomous driving, while its application in assisted living is recent and therefore the value added compared to the increase in signal processing and hardware requirements is still an open question. …”
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Graph SLAM-Based 2.5D LIDAR Mapping Module for Autonomous Vehicles by Mohammad Aldibaja, Naoki Suganuma

“…Therefore, the generated maps significantly contribute to increasing the safety of autonomous driving regardless of the road structures and environmental factors.…”
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Advancing autonomy through lifelong learning: a survey of autonomous intelligent systems by Dekang Zhu, Qianyi Bu, Zhongpan Zhu, Zhongpan Zhu, Yujie Zhang, Zhipeng Wang

“…Specifically, we investigate the diverse applications of lifelong learning algorithms in AIS’s domains such as autonomous driving, anomaly detection, robots, and emergency management, while assessing their impact on enhancing AIS performance and reliability. …”
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Autonomous-Vehicle Intersection Control Method Based on an Interlocking Block by Yuxin Niu, Yizhuo Chang, Hongbo Li, Xiaoyuan Feng, Yilong Ren

“…Non-signalized intersections have only ever been suitable for low traffic flow; however, with the development of autonomous driving technology and new control methods, the operation efficiency of this kind of intersection may be improved. …”
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A multimodal physiological dataset for driving behaviour analysis by Xiaoming Tao, Dingcheng Gao, Wenqi Zhang, Tianqi Liu, Bing Du, Shanghang Zhang, Yanjun Qin

“…The MPDB dataset’s scale, accuracy, and multimodality provide unprecedented opportunities for researchers in the autonomous driving field and beyond. With this dataset, we will contribute to the field of traffic psychology and behavior.…”
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Variable Rate Point Cloud Attribute Compression with Non-Local Attention Optimization by Xiao Huo, Saiping Zhang, Fuzheng Yang

“…Point clouds are widely used as representations of 3D objects and scenes in a number of applications, including virtual and mixed reality, autonomous driving, antiques reconstruction. To reduce the cost for transmitting and storing such data, this paper proposes an end-to-end learning-based point cloud attribute compression (PCAC) approach. …”
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A learning-based synthesis approach of reward asynchronous probabilistic games against the linear temporal logic winning condition by Wei Zhao, Zhiming Liu

“…Finally, our techniques are implemented, and their effectiveness is illustrated by two case studies of robot patrolling and autonomous driving.…”
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