Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman

“…Multiple vehicle collision avoidance strategies with safe lane changing strategy for vehicle control using learning base technique are the most crucial concern in autonomous driving system. Statistics shows that the latest autonomous driving systems are usually prone to rear-end collision. …”
Get full text

Study on Kirigami honeycomb generation for complicated structures by Luis DIAGO, Junichi SHINODA, Keiko YAMAZAKI, Ichiro HAGIWARA

Get full text

High Definition Map-Based Localization Using ADAS Environment Sensors for Application to Automated Driving Vehicles by Donghoon Shin, Kang-moon Park, Manbok Park

“…In respect of the application of autonomous driving cars in the near future, it is necessary to ensure autonomous driving performance by effectively utilizing sensors that are already installed for ADAS purposes. …”
Get full text

Analysis and Implementation of an Efficient Traffic Sign Recognition Based on YOLO and SIFT for Turtlebot3 Robot by Stefan Twieg, Ravin Menghani

“…Traffic Sign Recognition (TSR) is one of the key aspects for autonomous driving and it plays a vital role to make autonomous driving successful, but that’s only possible if TSR is efficient enough and reliable. …”
Get full text

Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends by Qi Liu, Xueyuan Li, Yujie Tang, Xin Gao, Fan Yang, Zirui Li

“…Meanwhile, transitioning to fully autonomous driving requires a long period of mixed autonomy traffic, including both CAVs and human-driven vehicles. …”
Get full text

LLNet: A Fusion Classification Network for Land Localization in Real-World Scenarios by Kun Chang, Li Yan

“…Lane localization is one of the core tasks in an autonomous driving system. It receives the visual information collected by the camera and the lane marks and road edges information outputted from the perception module and gives lane index for the subsequent decision module. …”
Get full text

Enhancing Lane-Tracking Performance in Challenging Driving Environments through Parameter Optimization and a Restriction System by Seung-Hwan Lee, Hyuk-Ju Kwon, Sung-Hak Lee

“…The autonomous driving market has experienced rapid growth in recent times. …”
Get full text

Data driven interaction-aware trajectory prediction for urban driving by Hu, Zongyao

“…As an important tool to promote the development of intelligent transportation systems, autonomous driving can effectively reduce human-induced traffic accidents, relieve traffic congestion, and reduce environmental pressure under certain conditions. …”
Get full text

Implementing Public Service Features in Autonomous Vehicles in Seoul by Hyerim Cho, SoonYong Park, Junchul Kim, Seolyoung Lee

“…This paper explains the technical and institutional support provided for autonomous-driving services in Seoul and suggests ways to build a safer and more effective autonomous driving environment.…”
Get full text

Proactive Motion Planning for Uncontrolled Blind Intersections to Improve the Safety and Traffic Efficiency of Autonomous Vehicles by Sunyeap Park, Yonghwan Jeong

“…However, there have been few studies on autonomous driving for uncontrolled and blind intersections. …”
Get full text

Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling by Osung Chae, Junghwa Kim, Jeongah Jang, Hyunjeong Yun, Shinkyung Lee

Get full text

Physics-Based Simulation and Automation of a Load-Haul-Dump Operation for an Articulated Dump Truck by Bilal Hejase, Umit Ozguner

“…A simulation environment for the testing of autonomous driving algorithms is developed and a custom mining environment is generated to adapt to our simulation settings. …”
Get full text

MonoDCN: Monocular 3D object detection based on dynamic convolution by Shenming Qu, Xinyu Yang, Yiming Gao, Shengbin Liang

“…3D object detection is vital in the environment perception of autonomous driving. The current monocular 3D object detection technology mainly uses RGB images and pseudo radar point clouds as input. …”
Get full text

Driving Risk Field and Control Strategies for Autonomous Vehicles at a Signalized Intersection by Hui Xu, Jianping Wu

“…This research contributes to improving autonomous driving against complex driving conditions for driving safety and efficiency.…”
Get full text

3D object detection from point cloud by Yin, Xiangyu

“…With the rapid developments in deep learning, autonomous driving become feasible and increasingly it has been applied well in real time system. …”
Get full text

Lane Transformer: A High-Efficiency Trajectory Prediction Model by Zhibo Wang, Jiayu Guo, Zhengming Hu, Haiqiang Zhang, Junping Zhang, Jian Pu

“…Trajectory prediction is a crucial step in the pipeline for autonomous driving because it not only improves the planning of future routes, but also ensures vehicle safety. …”
Get full text

DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization by Mingle Zhao, Dingfu Zhou, Xibin Song, Xiuwan Chen, Liangjun Zhang

Get full text

Toward personalized decision making for autonomous vehicles: a constrained multi-objective reinforcement learning technique by He, Xiangkun, Lv, Chen

“…Reinforcement learning promises to provide a state-of-the-art solution to the decision making problem of autonomous driving. Nonetheless, numerous real-world decision making problems involve balancing multiple conflicting or competing objectives. …”
Get full text

MonoDCN: Monocular 3D object detection based on dynamic convolution. by Shenming Qu, Xinyu Yang, Yiming Gao, Shengbin Liang

“…3D object detection is vital in the environment perception of autonomous driving. The current monocular 3D object detection technology mainly uses RGB images and pseudo radar point clouds as input. …”
Get full text

The Effects of Speed and Delays on Test-Time Performance of End-to-End Self-Driving by Ardi Tampuu, Kristjan Roosild, Ilmar Uduste

“…These insights are valuable for developing robust autonomous driving systems capable of adapting to varying speeds and delays in real-world scenarios.…”
Get full text