Implementing of sensors and actuators for autonomous driving by Yeo, Darren Zhi Duo

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Anomaly detection for autonomous driving vehicles by Chen, Kuilin

“…The simulation platform, Carla, is developed for autonomous driving development and validation with good performance. …”
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Security investigation of autonomous driving systems by Han, Xingshuo

“…Autonomous Driving (AD) represents a breakthrough technology with immense potential to make our transportation more intelligent, as many Autonomous Vehicles (AV) are already deployed into real products on public roads. …”
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Implementation of electrical and simulation for autonomous driving by Muhammad Azri Ngadi

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Design of motion system for autonomous driving vehicles by Chen, Jinghuan

“…This project aims to design a motion system for autonomous driving vehicles. The motion system is consist of two subsystems, a motion planner and a motion controller. …”
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Smart computer vision systems for autonomous driving by Rajasekaran Neetha

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End-to-end autonomous driving based on reinforcement learning by Beh, Chun Jye

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End-to-end autonomous driving based on reinforcement learning by Ong, Chee Wei

“…Code is available at: https://github.com/MrOCW/Autonomous-Driving-RL-Unity…”
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End-to-end autonomous driving based on machine learning by Teo, Ren Hao

“…This report seeks to run simulations on autonomous driving based on selected on-policy and off-policy algorithms. …”
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Decision-making of autonomous driving based on reinforcement learning by Lee, Julia Hui Hui

“…Autonomous driving (AD) technology has garnered significant interest in recent years due to its potential to transform transportation. …”
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Removing dynamic objects in HD maps for autonomous driving by Ang, Jeremy Pin En

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Decision-making of autonomous driving based on reinforcement learning by Shi, Max Ziyi

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Lane detection algorithm for autonomous driving using deep learning by Siang, Yek Khan

“…In the decade of Industrial 4.0, autonomous driving has been a popular and controversial topic. …”
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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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