Multi‐domain autonomous driving dataset: Towards enhancing the generalization of the convolutional neural networks in new environments by Amir Khosravian, Abdollah Amirkhani, Masoud Masih‐Tehrani, Alireza Yazdanijoo

“…Abstract In this paper, a large‐scale dataset called the Iran Autonomous Driving Dataset (IADD) is presented, aiming to improve the generalization capability of the deep networks outside of their training domains. …”
Get full text

Online Active Set-Based Longitudinal and Lateral Model Predictive Tracking Control of Electric Autonomous Driving by Wenhui Fan, Hongwen He, Bing Lu

“…Autonomous driving is a breakthrough technology in the automobile and transportation fields. …”
Get full text

A Vehicular Edge Computing-Based Architecture and Task Scheduling Scheme for Cooperative Perception in Autonomous Driving by Yuankui Wei, Jixian Zhang

“…Cooperative perception is an important domain of autonomous driving that helps to improve road safety and traffic efficiency. …”
Get full text

Open HD map service model: an interoperable high-Definition map data model for autonomous driving by Fengyuan Zhang, Wenzhong Shi, Min Chen, Wei Huang, Xintao Liu

Subjects: Get full text

Real-Time Road Curb and Lane Detection for Autonomous Driving Using LiDAR Point Clouds by Jing Huang, Pallab K. Choudhury, Song Yin, Lingyun Zhu

“…The commercialization of automated driving vehicles promotes the development of safer and more efficient autonomous driving technologies including lane marking detection strategy, which is considered to be the most promising feature in environmental perception technology. …”
Get full text

Robust Adaptive Path Tracking Control Scheme for Safe Autonomous Driving via Predicted Interval Algorithm by Cong Phat Vo, Jungeun Lee, Jeong Hwan Jeon

“…This paper introduces a robust adaptive path-tracking control scheme via a predicted interval approach for safe autonomous driving tasks under uncertainties. Specifically, a recursive least squares-based set-membership mechanism is firstly designed to estimate a bounding set of acceptable values to depict the uncertain parameters. …”
Get full text

Explaining Bounding Boxes in Deep Object Detectors Using Post Hoc Methods for Autonomous Driving Systems by Caio Nogueira, Luís Fernandes, João N. D. Fernandes, Jaime S. Cardoso

Subjects: Get full text

TraModeAVTest: Modeling Scenario and Violation Testing for Autonomous Driving Systems Based on Traffic Regulations by Chunyan Xia, Song Huang, Changyou Zheng, Zhen Yang, Tongtong Bai, Lele Sun

Subjects: Get full text

Simulated Autonomous Driving Using Reinforcement Learning: A Comparative Study on Unity’s ML-Agents Framework by Yusef Savid, Reza Mahmoudi, Rytis Maskeliūnas, Robertas Damaševičius

Subjects: Get full text

AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research & Education by Tanmay Samak, Chinmay Samak, Sivanathan Kandhasamy, Venkat Krovi, Ming Xie

“…This work presents our attempt to develop such a comprehensive research and education ecosystem, called AutoDRIVE, for synergistically prototyping, simulating and deploying cyber-physical solutions pertaining to autonomous driving as well as smart city management. AutoDRIVE features both software as well as hardware-in-the-loop testing interfaces with openly accessible scaled vehicle and infrastructure components. …”
Get full text

A Multi-Task Fusion Strategy-Based Decision-Making and Planning Method for Autonomous Driving Vehicles by Weiguo Liu, Zhiyu Xiang, Han Fang, Ke Huo, Zixu Wang

“…The autonomous driving technology based on deep reinforcement learning (DRL) has been confirmed as one of the most cutting-edge research fields worldwide. …”
Get full text

A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving by Simegnew Yihunie Alaba, John E. Ball

“…LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast decision-making when driving. …”
Get full text

Online Multiple Object Tracking Using Spatial Pyramid Pooling Hashing and Image Retrieval for Autonomous Driving by Hongjian Wei, Yingping Huang

“…Multiple object tracking (MOT) is a fundamental issue and has attracted considerable attention in the autonomous driving community. This paper presents a novel MOT framework for autonomous driving. …”
Get full text

MonoGhost: Lightweight Monocular GhostNet 3D Object Properties Estimation for Autonomous Driving by Ahmed El-Dawy, Amr El-Zawawi, Mohamed El-Habrouk

Subjects: Get full text

Autonomous driving systems hardware and software architecture exploration: optimizing latency and cost under safety constraints by Collin, Anne, Siddiqi, Afreen, Imanishi, Yuto, Rebentisch, Eric, Tanimichi, Taisetsu, Weck, Olivier L.

Get full text

An integrated decision-making framework for highway autonomous driving using combined learning and rule-based algorithm by Xu, Can, Zhao, Wanzhong, Liu, Jinqiang, Wang, Chunyan, Lv, Chen

Get full text

Evaluating Object (Mis)Detection From a Safety and Reliability Perspective: Discussion and Measures by Andrea Ceccarelli, Leonardo Montecchi

Subjects: “…Autonomous driving…”
Get full text

A Study on an Enhanced Autonomous Driving Simulation Model Based on Reinforcement Learning Using a Collision Prevention Model by Jong-Hoon Kim, Jun-Ho Huh, Se-Hoon Jung, Chun-Bo Sim

Subjects: “…autonomous driving…”
Get full text

How Do Autonomous Vehicles Decide? by Sumbal Malik, Manzoor Ahmed Khan, Hesham El-Sayed, Jalal Khan, Obaid Ullah

Subjects: “…autonomous driving…”
Get full text

DRIVER’S ACCEPTANCE OF FULLY AUTOMATED VEHICLES by Iulia Ioana MIRCEA, Ciprian Sorin VLAD, Eugen ROȘCA

Subjects: “…autonomous driving…”
Get full text