A trajectory prediction method based on graph attention mechanism by Zhou Hejun, Zhao Ting, Fang Yang, liu Qilie

“…Vehicle trajectory prediction is one of the key technologies to realize autonomous driving, which provides an important guarantee for the safety of vehicles in the process of autonomous driving. …”
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Authority Transfer According to a Driver Intervention Intention Considering Coexistence of Communication Delay by Taeyoon Lim, Myeonghwan Hwang, Eugene Kim, Hyunrok Cha

“…Recently, interest and research on autonomous driving technology have been actively conducted. …”
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Road geometry perception without accurate positioning and lane information by Kan Li, Xiaoyu Yang, Yuehui Luo, Huiyun Li

“…The proposed method can provide reliable road geometry information for autonomous driving when accurate positioning and lane information are unavailable, so that it renders more robust and safer perception for future autonomous driving.…”
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Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment by Hyoduck Seo, Hyeonbo Kim, Kyesan Lee, Kyujin Lee

“…Autonomous driving is evolving through the convergence of object recognition using multiple sensors in the fourth industrial revolution. …”
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Masked Autoencoder for Pre-Training on 3D Point Cloud Object Detection by Guangda Xie, Yang Li, Hongquan Qu, Zaiming Sun

“…In autonomous driving, the 3D LiDAR (Light Detection and Ranging) point cloud data of the target are missing due to long distance and occlusion. …”
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Development of a vision-based collision avoidance system by Ang, Batya Wan Qing

“…Vision based collision avoidance system is vital in the development of autonomous driving system. In recent years, the trend leans toward autonomous driving to alleviate accidents caused by human error and broaden the prospect of driving amongst the handicapped. …”
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Development of a vision-based collision avoidance system by Ang, Wan Qing

“…Vision based collision avoidance system is vital in the development of autonomous driving system. In recent years, the trend leans toward autonomous driving to alleviate accidents caused by human error and broaden the prospect of driving amongst the handicapped. …”
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Obstacle Detection for Autonomous Guided Vehicles through Point Cloud Clustering Using Depth Data by Micael Pires, Pedro Couto, António Santos, Vítor Filipe

“…Autonomous driving is one of the fastest developing fields of robotics. …”
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On the Development of Autonomous Vehicle Safety Distance by an RSS Model Based on a Variable Focus Function Camera by Min-Joong Kim, Sung-Hun Yu, Tong-Hyun Kim, Joo-Uk Kim, Young-Min Kim

“…Today, a lot of research on autonomous driving technology is being conducted, and various vehicles with autonomous driving functions, such as ACC (adaptive cruise control) are being released. …”
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Development of an EEG Headband for Stress Measurement on Driving Simulators by Antonio Affanni, Taraneh Aminosharieh Najafi, Sonia Guerci

“…The aim of the experiment was to assess how autonomous driving algorithms impact EEG brain activity. …”
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A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles by Kyungbok Sung, Kyoung-Wook Min, Jeongdan Choi, Byung-Cheol Kim

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Review on lane detection and related methods by Weiyu Hao

“…Road detection remains a captivating and crucial aspect of any form of autonomous driving. In this manuscript, we furnish a comprehensive appraisal of recent advancements in road lane detection, a fundamental component integral to autonomous driving. …”
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Pedestrian and ego-vehicle trajectory prediction from monocular camera by Neumann, L, Vedaldi, A

“…Predicting future pedestrian trajectory is a crucial component of autonomous driving systems, as recognizing critical situations based only on current pedestrian position may come too late for any meaningful corrective action (e.g. breaking) to take place. …”

An interactive haptic force feedback interface for semi-automatic control in highly-automated vehicles by Mitsuhiro KAMEZAKI, Udara E. MANAWADU, Takahiro KAWANO, Masaaki ISHIKAWA, Shigeki SUGANO

“…Autonomous driving systems (ADSs) could reduce the degrees of human control, and which would result in lack of flexibility of controlling the vehicle. …”
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Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals by Taraneh Aminosharieh Najafi, Antonio Affanni, Roberto Rinaldo, Pamela Zontone

“…A different experiment in which subjects drove in three different setups, i.e., a manual driving scenario and two autonomous driving scenarios characterized by different vehicle settings, confirmed that manual driving is more mentally demanding than autonomous driving. …”
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Motion Prediction for Autonomous Vehicle using Deep Learning Architecture and Transfer Learning by Sathyapriyaa R., Jacinth Judah Jos, Gayathri K.S., Saravanan P., Anbuselvi M.

“…Motion planning contributes a vital part in autonomous driving, serving as a fundamental building block enabling the AV to move further. …”
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Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments by Shihan Wang, Ying Ni, Jianqiang Li

“…The proposed framework can help autonomous driving companies or evaluation agencies to select appropriate testing roads, thus promoting the development of autonomous driving.…”
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Self-Learning Robot Autonomous Navigation with Deep Reinforcement Learning Techniques by Borja Pintos Gómez de las Heras, Rafael Martínez-Tomás, José Manuel Cuadra Troncoso

“…Complex and high-computational-cost algorithms are usually the state-of-the-art solution for autonomous driving cases in which non-holonomic robots must be controlled in scenarios with spatial restrictions and interaction with dynamic obstacles while fulfilling at all times safety, comfort, and legal requirements. …”
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Environment Classification Using Machine Learning Methods for Eco-Driving Strategies in Intelligent Vehicles by Jose del C. Julio-Rodríguez, Carlos A. Rojas-Ruiz, Alfredo Santana-Díaz, M. Rogelio Bustamante-Bello, Ricardo A. Ramirez-Mendoza

“…Information about the driving context could be also used to decide if the conditions are safe for autonomous driving or if human intervention is recommended or required. …”
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Multi-Sensor Data Fusion for Autonomous Vehicle Navigation and Localization through Precise Map by Hossein Tehrani Niknejad, Mita Seiichi, Han Long, Huy Quoc

“…We have evaluated the feasibility of proposed localization and navigation architecture for fully autonomous driving by doing many experiments in our campus including up and down slopes.…”
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