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

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

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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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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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Pseudo vision: end-to-end autonomous driving with 2D LiDAR by Chau, Yuan Qi

“…This Project introduced a novel data representation called Pseudo Vision that enables End-to-end Autonomous Driving using 2D LiDAR as the sole sensor for the perception of the vehicle’s surroundings. …”
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Development of a vision-based collision avoidance system by Ang, Batya Wan Qing

“…Vision based collision avoidance system is vital in the development of autonomous driving system. In recent years, the trend leans toward autonomous driving to alleviate accidents caused by human error and broaden the prospect of driving amongst the handicapped. …”
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Development of a vision-based collision avoidance system by Ang, Wan Qing

“…Vision based collision avoidance system is vital in the development of autonomous driving system. In recent years, the trend leans toward autonomous driving to alleviate accidents caused by human error and broaden the prospect of driving amongst the handicapped. …”
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Visual recognition using deep learning (traffic detection using deep learning) by Chen, Sheng

“…In recent years, with the rapid development of autonomous driving, the objective detection technology in driving assistance has become a major research hotspot. …”
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Exploring different dehazing algorithms for object detection in foggy weather conditions for autonomous vehicles by Kim, Chae Yoon

“…With the advent of autonomous driving technology, the need for reliable object system in diverse conditions, including adverse weather, has become paramount. …”
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