Longitudinal Functional Safety Analysis and Algorithm Design of Traffic Jam Pilot by Lei He, Junyi Chen, Xiucai Zhang, Jun Li, Jingquan Tian

“…In recent years, autonomous driving technology has been developing rapidly, but there is still a certain gap from commercial production, in which the safety issue is one of the important factors. …”
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A Hierarchical Lane-Changing Trajectory Planning Method Based on the Least Action Principle by Ke Liu, Guanzheng Wen, Yao Fu, Honglin Wang

“…This paper presents a hierarchical lane-changing trajectory planner based on the least action principle for autonomous driving. Our approach aims to achieve reliable real-time avoidance of static and moving obstacles in multi-vehicle interaction scenarios on structured urban roads. …”
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Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles by Sorin Grigorescu, Tiberiu Cocias, Bogdan Trasnea, Andrea Margheri, Federico Lombardi, Leonardo Aniello

“…Although the integration of novel technologies such as Artificial Intelligence (AI) and Cloud/Edge computing provides golden opportunities to improve autonomous driving applications, there is the need to modernize accordingly the whole prototyping and deployment cycle of AI components. …”
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LSNet: Learned Sampling Network for 3D Object Detection from Point Clouds by Mingming Wang, Qingkui Chen, Zhibing Fu

“…In this paper, we concentrate on exploring the sampling method of point-based 3D object detection in autonomous driving scenarios, a process which attempts to reduce expenditure by reaching sufficient accuracy using fewer selected points. …”
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Unleashing the power of generative adversarial networks: A novel machine learning approach for vehicle detection and localisation in the dark by Md Saif Hassan Onim, Hussain Nyeem, Md. Wahiduzzaman Khan Arnob, Arunima Dey Pooja

“…Abstract Machine vision in low‐light conditions is a critical requirement for object detection in road transportation, particularly for assisted and autonomous driving scenarios. Existing vision‐based techniques are limited to daylight traffic scenarios due to their reliance on adequate lighting and high frame rates. …”
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LIDAR MATCHING STRATEGIES FOR HD POINT CLOUD MAP GENERATION IN URBAN AREA by J.-A. Chen, S. Srinara, Y.-T. Chiu, K.-W. Chiang

“…Autonomous driving relies on high accuracy point vector map, which was generated by the point cloud map, and pre-provides the vehicle preliminary road environment information. …”
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Takeover Safety Analysis with Driver Monitoring Systems and Driver–Vehicle Interfaces in Highly Automated Vehicles by Dongyeon Yu, Chanho Park, Hoseung Choi, Donggyu Kim, Sung-Ho Hwang

“…According to SAE J3016, autonomous driving can be divided into six levels, and partially automated driving is possible from level three up. …”
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Research on a Super-Resolution and Low-Complexity Positioning Algorithm Using FMCW Radar Based on OMP and FFT in 2D Driving Scene by Yiran Guo, Qiang Shen, Zilong Deng, Shouyi Zhang

“…The experimental results verify that the positioning algorithm proposed in this paper can achieve accuracy, robustness, and real-time performance in autonomous driving scenarios.…”
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ROAD SEGMENTATION ON LOW RESOLUTION LIDAR POINT CLOUDS FOR AUTONOMOUS VEHICLES by L. Gigli, B. R. Kiran, T. Paul, A. Serna, N. Vemuri, B. Marcotegui, S. Velasco-Forero

“…Point cloud datasets for perception tasks in the context of autonomous driving often rely on high resolution 64-layer Light Detection and Ranging (LIDAR) scanners. …”
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Sensor Coil System for Misalignment Detection and Information Transfer in Dynamic Wireless Power Transfer of Electric Vehicle by Seokhyeon Son, Yujun Shin, Seongho Woo, Seungyoung Ahn

“…By transferring information, the proposed system can provide the benefits of autonomous driving technology as well as WPT technology. …”
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Rule‐constrained reinforcement learning control for autonomous vehicle left turn at unsignalized intersection by Yingfeng Cai, Rong Zhou, Hai Wang, Xiaoqiang Sun, Long Chen, Yicheng Li, Qingchao Liu, Youguo He

“…Traditional rule‐based autonomous driving decision and control algorithms struggle to construct accurate and trustworthy mathematical models for such circumstances, owing to their considerable uncertainty and unpredictability. …”
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LIDSOR: A FILTER FOR REMOVING RAIN AND SNOW NOISE POINTS FROM LIDAR POINT CLOUDS IN RAINY AND SNOWY WEATHER by H. Huang, X. Yan, J. Yang, Y. Cao, X. Zhang

“…As autonomous driving technology advances, ensuring the system's safety in rain and snow has emerged as a pivotal research topic. …”
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A Fast and Robust Lane Detection Method Based on Semantic Segmentation and Optical Flow Estimation by Sheng Lu, Zhaojie Luo, Feng Gao, Mingjie Liu, KyungHi Chang, Changhao Piao

“…Lane detection is a significant technology for autonomous driving. In recent years, a number of lane detection methods have been proposed. …”
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RESEARCH ON SENSOR FUSION-BASED CALIBRATION AND REAL-TIME POINT CLOUD MAPPING METHODS FOR LASER LIDAR AND IMU by H. Huang, X. Zhang, J. Yang, Y. Fu, J. Bian

“…Simultaneous Localization and Mapping (SLAM), as one of the core technologies in autonomous driving, provides environment perception, decision-making, and path planning to ensure safe vehicle operation. …”
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Real-Time 3D Object Detection on Crowded Pedestrians by Bin Lu, Qing Li, Yanju Liang

“…In the field of autonomous driving, object detection under point clouds is indispensable for environmental perception. …”
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Real-Time People Re-Identification and Tracking for Autonomous Platforms Using a Trajectory Prediction-Based Approach by Alexandra Ștefania Ghiță, Adina Magda Florea

“…We report an improvement of over 5% for the MOTA metric when comparing our re-identification system with the existing module, on both evaluation scenarios, social robotics and autonomous driving.…”
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Fuel Efficient High-Density Platooning Using Future Conditions Prediction by Guillaume Jornod, Andreas Pfadler, Sofia Carreira, Ahmad El Assaad, Thomas Kurner

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Research on Lane Changing Game and Behavioral Decision Making Based on Driving Styles and Micro-Interaction Behaviors by Ming Ye, Pan Li, Zhou Yang, Yonggang Liu

“…Autonomous driving technology plays an essential role in reducing road traffic accidents and ensuring more convenience while driving, so it has been widely studied in industrial and academic communities. …”
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Point Cloud Compression: Impact on Object Detection in Outdoor Contexts by Luís Garrote, João Perdiz, Luís A. da Silva Cruz, Urbano J. Nunes

“…Increasing demand for more reliable and safe autonomous driving means that data involved in the various aspects of perception, such as object detection, will become more granular as the number and resolution of sensors progress. …”
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S2S-Sim: A Benchmark Dataset for Ship Cooperative 3D Object Detection by Wenbin Yang, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie, Junxi Chen

“…The rapid development of vehicle cooperative 3D object-detection technology has significantly improved the perception capabilities of autonomous driving systems. However, ship cooperative perception technology has received limited research attention compared to autonomous driving, primarily due to the lack of appropriate ship cooperative perception datasets. …”
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