FGSM attacks on traffic light recognition of the apollo autonomous driving system by Samuel, Milla

“…Autonomous vehicles rely on Autonomous Driving Systems (ADS) to control the car without human intervention. …”
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Application of deep learning for enhancing simultaneous localization and mapping in autonomous driving by Ge, Jintian

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Predictive neural motion planner for autonomous driving using graph networks by Mo, Xiaoyu, Lv, Chen

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Prioritized experience-based reinforcement learning with human guidance for autonomous driving by Wu, Jingda, Huang, Zhiyu, Huang, Wenhui, Lv, Chen

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Uncertainty quantification with statistical guarantees in end-to-end autonomous driving control by Michelmore, R, Wicker, M, Laurenti, L, Cardelli, L, Gal, Y, Kwiatkowska, M

“…Deep neural network controllers for autonomous driving have recently benefited from significant performance improvements, and have begun deployment in the real world. …”

Responsible Innovation; responsible data. A case study in autonomous driving by Ten Holter, C, Kunze, L, Pattinson, J-A, Salvini, P, Jirotka, M

Assessing and explaining collision risk in dynamic environments for autonomous driving safety by Nahata, R, Omeiza, D, Howard, R, Kunze, L

“…Moreover, by explaining risk factors to developers and engineers the overall safety of autonomous driving can be increased in future deployments. …”

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment by Sumbal Malik, Manzoor Ahmed Khan, Hesham El-Sayed, Muhammad Jalal Khan

“…Convoy driving, a specialized form of collaborative autonomous driving, offers a promising solution to the multifaceted challenges that transportation systems face, including traffic congestion, pollutant emissions, and the coexistence of connected autonomous vehicles (CAVs) and human-driven vehicles on the road, resulting in mixed traffic flow. …”
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Real-Time LiDAR Point Cloud Semantic Segmentation for Autonomous Driving by Xing Xie, Lin Bai, Xinming Huang

“…LiDAR has been widely used in autonomous driving systems to provide high-precision 3D geometric information about the vehicle’s surroundings for perception, localization, and path planning. …”
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Efficient Attention-Convolution Feature Extractor in Semantic Segmentation for Autonomous Driving Systems by Seyed-Hamid Mousavi, Mahdi Seyednezhad, Kin-Choong Yow

“…However, different classes contribute differently to the reliability and safety level of an autonomous driving system i.e. the Person class should be of higher priority than the Sky class in terms of segmentation accuracy. …”
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Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems by Edgar Cortés Gallardo Medina, Victor Miguel Velazquez Espitia, Daniela Chípuli Silva, Sebastián Fernández Ruiz de las Cuevas, Marco Palacios Hirata, Alfredo Zhu Chen, José Ángel González González, Rogelio Bustamante-Bello, Carlos Francisco Moreno-García

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Comparison of Three Location Estimation Methods of an Autonomous Driving Robot for Underground Mines by Heonmoo Kim, Yosoon Choi

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Reconstruction-Based Adversarial Attack Detection in Vision-Based Autonomous Driving Systems by Manzoor Hussain, Jang-Eui Hong

“…The perception system is a safety-critical component that directly impacts the overall safety of autonomous driving systems (ADSs). It is imperative to ensure the robustness of the deep-learning model used in the perception system. …”
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Deep Reinforcement Learning for Autonomous Driving in Amazon Web Services DeepRacer by Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari, Armantas Ostreika

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CF-YOLOX: An Autonomous Driving Detection Model for Multi-Scale Object Detection by Shuiye Wu, Yunbing Yan, Weiqiang Wang

“…In self-driving cars, object detection algorithms are becoming increasingly important, and the accurate and fast recognition of objects is critical to realize autonomous driving. The existing detection algorithms are not ideal for the detection of small objects. …”
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Supervised Object-Specific Distance Estimation from Monocular Images for Autonomous Driving by Yury Davydov, Wen-Hui Chen, Yu-Chen Lin

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Building Collaborative Test Practices: Design Ethnography and WOz in Autonomous Driving Research by Katalin Osz, Annie Rydström, Vaike Fors, Sarah Pink, Robert Broström

“…This knowledge is inevitable for a broader understanding of the overall user experience and expectations of autonomous driving and, more specifically, building an interdisciplinary collaborative testing approach.…”
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Introspective False Negative Prediction for Black-Box Object Detectors in Autonomous Driving by Qinghua Yang, Hui Chen, Zhe Chen, Junzhe Su

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Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving by Tengfei Yu, He Huang, Nana Jiang, Tri Dev Acharya

Subjects: “…autonomous driving…”
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Cooperative Perception Technology of Autonomous Driving in the Internet of Vehicles Environment: A Review by Guangzhen Cui, Weili Zhang, Yanqiu Xiao, Lei Yao, Zhanpeng Fang

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