Optimization of On-Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning by Karina Meneses-Cime, Bilin Aksun Guvenc, Levent Guvenc

“…Ride-hailed shared autonomous vehicles (SAV) have emerged recently as an economically feasible way of introducing autonomous driving technologies while serving the mobility needs of under-served communities. …”
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An optimal location strategy for multiple drone base stations in massive MIMO by Manuel Eugenio Morocho-Cayamcela, Wansu Lim, Martin Maier

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Predict the performance of driverless car through the cognitive data analysis and reliability analysis based approach by Vikas Khare, Ankita Jain

“…By integrating these two approaches, a comprehensive framework is developed for predicting the performance of driverless cars, aiding in the identification of potential issues and enhancing the overall safety and efficiency of autonomous driving systems. The proposed methodology contributes to the emerging field of autonomous vehicles and provides valuable insights for researchers, developers, and policymakers working towards the widespread adoption of driverless technology.…”
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Cocktail Glass Network: Fast Depth Estimation Using Channel to Space Unrolling by Jung-Jae Yu, Jong-Gook Ko, Junmo Kim

“…Depth-estimation from a single input image can be used in applications such as robotics and autonomous driving. Recently, depth-estimation networks with UNet encoder/decoder structures have been widely used. …”
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Verification of Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles with Hardware Emulation-In-The-Loop by Mohamed AbdElSalam, Keroles Khalil, John Stickley, Ashraf Salem, Bruno Loye

“…The increasing number of cars with ECUs containing tens of processors, and the need to accelerate the simulation of thousands of driving scenarios and design parameters to ensure safety and reliability in autonomous driving has expanded the use of Hardware Emulation-In-The-Loop based on its capacity and functional verification merits. …”
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A Survey on Localization for Autonomous Vehicles by Debasis Kumar, Naveed Muhammad

“…This study not only presents a bigger picture of the area of localization in autonomous driving but also presents the potentials and drawbacks of different localization methods. …”
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Design of a Collaborative Vehicle Formation Control Simulation Test System by Zhijing Xu, Yuqiong Zhang, Pengren Ding, Fangze Tu

“…In forthcoming research, comprehensive functional and performance assessments will be executed on various typical scenarios for advanced autonomous driving applications in order to authenticate the simulation test system’s applicability.…”
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Occupancy Reward-Driven Exploration with Deep Reinforcement Learning for Mobile Robot System by Albina Kamalova, Suk Gyu Lee, Soon Hak Kwon

“…This paper investigates the solution to a mobile-robot exploration problem following autonomous driving principles. The exploration task is formulated in this study as a process of building a map while a robot moves in an indoor environment beginning from full uncertainties. …”
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A fast vanishing point detection method based on row space features suitable for real driving scenarios by Qin Yang, Yahong Ma, Linsen Li, Yujie Gao, Jiaxin Tao, Zhentao Huang, Rui Jiang

“…Abstract The vanishing point (VP) is particularly important road information, which provides an important judgment criterion for the autonomous driving system. Existing vanishing point detection methods lack speed and accuracy when dealing with real road environments. …”
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Computer Vision Algorithms for 3D Object Recognition and Orientation: A Bibliometric Study by Youssef Yahia, Júlio Castro Lopes, Rui Pedro Lopes

“…The most basic theme related to this field is deep learning, along with autonomous driving, point cloud, robotics, and LiDAR. The work also includes an in-depth review that underlines some of the latest frameworks that took on various challenges regarding this topic, the improvement of object detection from point clouds, and training end-to-end fusion methods using both camera and LiDAR sensors, to name a few.…”
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Exploration of image level classification based on semantic segmentation by Santhosh Kumar Ch.N., Pavan Kumar P., Lakshmi Deepthi N., Aswani Reddy P., Sujana Y.

“…This technique finds utility across diverse domains such as autonomous driving, medical image analysis, scene comprehension, and image editing, among others. …”
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DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling by Huang, Xin, McGill, Stephen G, DeCastro, Jonathan A, Fletcher, Luke, Leonard, John J, Williams, Brian C, Rosman, Guy

“…Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant systems. …”
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Autonomous Navigation without HD Prior Maps by Ort, Teddy

“…Most fielded autonomous driving systems currently rely on High Definition (HD) prior maps both to localize, and to retrieve detailed geometric and semantic information about the environment. …”
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Efficient Multi-Sensor Fusion for 3D Perception by Shao, Kevin

“…As a critical component to realizing widespread autonomous driving, 3D perception systems have come to be heavily studied in the community. …”
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Robust and low complexity obstacle detection and tracking by Wu, Meiqing, Zhou, Chengju, Srikanthan, Thambipillai

“…Obstacle detection and tracking is essential module for autonomous driving. Vision based obstacle detection and tracking faces huge challenges due to factors like cluttered background, partial occlusion, inconsistent illumination, etc. …”
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Lane detection and tracking control for unmanned aerial vehicles using image segmentation by Tan, Zhi Jie

“…Lane detection has been widely used in land-based vehicles to carry out autonomous driving. The same concept can be applied to aerial vehicles to enable autonomous maneuvering based on the detected runway. …”
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Deep learning-based interest point detector for 3D point clouds by Wang, Xiaoyue

“…These detected keypoints play essential roles in many autonomous driving and robotics applications such as 3D point cloud-based odometry, place recognition, or 3D point cloud-based localization. …”
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Machine learning for object identification using Lidar point cloud data by Chen, Xiaoxin

“…Due to the increasing number of point cloud applications in computer vision and autonomous driving, more research attention has been focused on 3D point cloud learning. …”
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Evaluation of current vehicle lane-changing prediction methods by Liu, Tian

“…This dissertation mainly focuses on applying various algorithms to predict vehicle lane changing behavior, an important part of autonomous driving which attempts to achieve intelligent transportation and society. …”
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Lane detection algorithm for autonomous vehicles using machine learning by Goh, Terence Wei Liang

“…Lane detection is a crucial element of any advanced driver assistance system or autonomous driving technology. Developing a robust lane detection system capable of navigating various road conditions, sucis essential. …”
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