Conception of a High-Level Perception and Localization System for Autonomous Driving by Xavier Dauptain, Aboubakar Koné, Damien Grolleau, Veronique Cerezo, Manuela Gennesseaux, Minh-Tan Do

“…This paper describes the conception of a high level, compact, scalable, and long autonomy perception and localization system for autonomous driving applications. Our benchmark is composed of a high resolution lidar (128 channels), a stereo global shutter camera, an inertial navigation system, a time server, and an embedded computer. …”
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Decision-Making Model for Dynamic Scenario Vehicles in Autonomous Driving Simulations by Yanfeng Li, Hsin Guan, Xin Jia, Chunguang Duan

“…A scenario vehicle in autonomous driving simulations is a dynamic entity that is expected to perform trustworthy bidirectional interaction tasks with the autonomous vehicle under test. …”
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Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion by Horatiu Florea, Andra Petrovai, Ion Giosan, Florin Oniga, Robert Varga, Sergiu Nedevschi

Subjects: “…autonomous driving…”
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Virtual Lidar Sensor Intensity Data Modeling for Autonomous Driving Simulators by Dong-Ju Lee, Jiung Im, Jong-Hoon Won

“…Autonomous driving simulators are an effective tool for developing autonomous driving algorithms so that they are widely used in research and development. …”
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Vehicle State Estimation and Prediction for Autonomous Driving in a Round Intersection by Xinchen Li, Levent Guvenc, Bilin Aksun-Guvenc

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Adversarial robustness analysis of LiDAR-included models in autonomous driving by Bo Yang, Zizhi Jin, Yushi Cheng, Xiaoyu Ji, Wenyuan Xu

Subjects: “…Autonomous driving…”
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Objects Detection Using Sensors Data Fusion in Autonomous Driving Scenarios by Razvan Bocu, Dorin Bocu, Maksim Iavich

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Mobilenetv2_CA Lightweight Object Detection Network in Autonomous Driving by Peicheng Shi, Long Li, Heng Qi, Aixi Yang

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Robust LiDAR-Based Vehicle Detection for On-Road Autonomous Driving by Xianjian Jin, Hang Yang, Xiongkui He, Guohua Liu, Zeyuan Yan, Qikang Wang

Subjects: “…autonomous driving…”
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A Hierarchical Control System for Autonomous Driving towards Urban Challenges by Nam Dinh Van, Muhammad Sualeh, Dohyeong Kim, Gon-Woo Kim

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Trajectory prediction for autonomous driving based on multiscale spatial‐temporal graph by Luqi Tang, Fuwu Yan, Bin Zou, Wenbo Li, Chen Lv, Kewei Wang

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Autonomous Driving Assistance with Dynamic Objects Using Traffic Surveillance Cameras by Kuk Cho, Dooyong Cho

Subjects: “…autonomous driving…”
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Object Detection in Autonomous Driving Scenarios Based on an Improved Faster-RCNN by Yan Zhou, Sijie Wen, Dongli Wang, Jinzhen Mu, Irampaye Richard

Subjects: “…autonomous driving…”
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Planning for Autonomous Driving via Interaction-Aware Probabilistic Action Policies by Salar Arbabi, Davide Tavernini, Saber Fallah, Richard Bowden

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Construction of computer visual dataset for autonomous driving in sand‐dust weather by Hua Zhongwei

“…Abstract With the wide application of vision‐based autonomous driving and mobile robots, the impact of frequent sand‐dust weather on computer vision applications in landlocked countries during spring and autumn has also attracted more and more attention. …”
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AspectNet: Aspect-Aware Anchor-Free Detector for Autonomous Driving by Tianjiao Liang, Hong Bao, Weiguo Pan, Xinyue Fan, Han Li

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Research on Specific Scenario Generation Methods for Autonomous Driving Simulation Tests by Ning Li, Lingshan Chen, Yongchao Huang

“…In this paper, we propose a method for the generation of simulated test scenarios for autonomous driving. Based on the requirements of standard regulatory test scenarios, we can generate virtually simulated scenarios and functional scenario libraries for autonomous driving, which can be used for the simulated verification of different ADAS functions. …”
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ARDformer: Agroforestry Road Detection for Autonomous Driving Using Hierarchical Transformer by Eksan Firkat, Jinlai Zhang, Danfeng Wu, Minyuan Yang, Jihong Zhu, Askar Hamdulla

“…Road detection is a crucial part of the autonomous driving system, and semantic segmentation is used as the default method for this kind of task. …”
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A study of safety acceptance and behavioral interventions for autonomous driving technologies by Mingyang Deng, Yingshi Guo

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Driver Drowsiness Multi-Method Detection for Vehicles with Autonomous Driving Functions by Horia Beles, Tiberiu Vesselenyi, Alexandru Rus, Tudor Mitran, Florin Bogdan Scurt, Bogdan Adrian Tolea

Subjects: “…autonomous driving…”
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