Guardauto: a decentralized runtime protection system for autonomous driving by Cheng, Kun, Zhou, Yuan, Chen, Bihuan, Wang, Rui, Bai, Yuebin, Liu, Yang

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CoPEM: cooperative perception error models for autonomous driving by Piazzoni, Andrea, Cherian, Jim, Vijay, Roshan, Chau, Lap-Pui, Dauwels, Justin

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Trajectory prediction for autonomous driving using deep learning approach by Wong, Shang Yi

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Human-guided reinforcement learning: methodology and application to autonomous driving by Wu, Jingda

“…The proposed methodology in this thesis can contribute to the development of learning-based autonomous driving techniques and has the potential to be applied in a broader range of contexts.…”
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Fear-neuro-inspired reinforcement learning for safe autonomous driving by He, Xiangkun, Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Wang, Jun, Sangiovanni-Vincentelli, Alberto, Lv, Chen

“…Drawing inspiration from this scientific discovery, we present a fear-neuro-inspired reinforcement learning framework to realize safe autonomous driving through modeling the amygdala functionality. …”
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End to end autonomous driving simulation based on reinforcement learning by Wong, Kenzhi Iskandar

“…This paper presents a comprehensive study that explores the application of reinforcement learning (RL) algorithms, specifically Deep Q-Network (DQN) and Soft Actor Critic (SAC), in the context of end-to-end autonomous driving. The research project utilizes the SMARTS Simulator, an open-source software tailored for RL applications in autonomous driving scenarios. …”
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Trajectory prediction for autonomous driving using deep learning approach by Zhang, Zihan

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Trajectory prediction for autonomous driving using deep learning approach by Du, Weifang

“…This project presents a detailed exploration of trajectory prediction models in autonomous driving, a critical component for enhancing the safety and efficiency of autonomous vehicles. …”
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Why not explain? effects of explanations on human perceptions of autonomous driving by Omeiza, D, Kollnig, K, Webb, H, Jirotka, M, Kunze, L

Multi-weather city: adverse weather stacking for autonomous driving by Musat, V, Fursa, I, Newman, P, Cuzzolin, F, Bradley, A

Lane following for autonomous driving control system using computer vision / by Lee, Ching Yee, 1995-, author, Nurul Ezaila Alias, supervisor, Fakulti Kejuruteraan. Sekolah Kejuruteraan Elektrik

Lane following for autonomous driving control system using computer vision / by Lee, Ching Yee, 1995-, author, Nurul Ezaila Alias, supervisor, Fakulti Kejuruteraan. Sekolah Kejuruteraan Elektrik

Machine learning approach in identifying speed breakers for autonomous driving: an overview by Choong, Chun Sern, Ahmad Fakhri, Ab. Nasir, Anwar, P. P. Abdul Majeed, Muhammad Aizzat, Zakaria, Mohd Azraai, M. Razman

“…Advanced control systems for autonomous driving is capable of nav-igating vehicles without human interaction with appropriate devices by sensing the environment nearby the vehicle. …”
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Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving by K. T. Yasas Mahima, Asanka Perera, Sreenatha Anavatti, Matt Garratt

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A methodological approach on studying policy-making of autonomous driving in cities by Eriketti Servou

Subjects: “…autonomous driving…”
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Real-Time Evaluation of Perception Uncertainty and Validity Verification of Autonomous Driving by Mingliang Yang, Kun Jiang, Junze Wen, Liang Peng, Yanding Yang, Hong Wang, Mengmeng Yang, Xinyu Jiao, Diange Yang

Subjects: “…autonomous driving…”
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A Bayesian Surprise Approach in Designing Cognitive Radar for Autonomous Driving by Yeganeh Zamiri-Jafarian, Konstantinos N. Plataniotis

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A VINS Combined With Dynamic Object Detection for Autonomous Driving Vehicles by Xiru Wu, Fengtang Huang, Yaonan Wang, Hui Jiang

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A LiDAR Multi-Object Detection Algorithm for Autonomous Driving by Shuqi Wang, Meng Chen

Subjects: “…autonomous driving…”
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Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges by Sumbal Malik, Manzoor Ahmed Khan, Hesham El-Sayed

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