Electronics | Highly Cited Papers in 2024 in the “Electrical and Autonomous Vehicles” Section
The Section “Electrical and Autonomous Vehicles” addresses the different perspectives within the design, development, and usage of electric and autonomous vehicles, in addition to their impact on people’s lives, cities, and power and energy systems.
You have free and unlimited access to the full texts of all articles published in our open access journal. We invite you to read our highly cited papers published in 2024, as listed below:
1. “Vehicle–Pedestrian Detection Method Based on Improved YOLOv8”
by Bo Wang, Yuan-Yuan Li, Weijie Xu, Huawei Wang and Li Hu
Electronics 2024, 13(11), 2149; https://doi.org/10.3390/electronics13112149
Available online: https://www.mdpi.com/2079-9292/13/11/2149
2. “Cybersecurity in Autonomous Vehicles—Are We Ready for the Challenge?”
by Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka, Zenon Zwierzewicz and Adrianna Łobodzińska
Electronics 2024, 13(13), 2654; https://doi.org/10.3390/electronics13132654
Available online: https://www.mdpi.com/2079-9292/13/13/2654
3. “Multi-Modal Contrastive Learning for LiDAR Point Cloud Rail-Obstacle Detection in Complex Weather”
by Lu Wen, Yongliang Peng, Miao Lin, Nan Gan and Rongqing Tan
Electronics 2024, 13(1), 220; https://doi.org/10.3390/electronics13010220
Available online: https://www.mdpi.com/2079-9292/13/1/220
4. “Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles”
by Seyed Mahdi Miraftabzadeh, Michela Longo, Andrea Di Martino, Alessandro Saldarini and Roberto Sebastiano Faranda
Electronics 2024, 13(10), 1973; https://doi.org/10.3390/electronics13101973
Available online: https://www.mdpi.com/2079-9292/13/10/1973
5. “A Study on Machine Learning-Enhanced Roadside Unit-Based Detection of Abnormal Driving in Autonomous Vehicles”
by Keon Yun, Heesun Yun, Sangmin Lee, Jinhyeok Oh, Minchul Kim, Myongcheol Lim, Juntaek Lee, Chanmin Kim, Jiwon Seo and Jinyoung Choi
Electronics 2024, 13(2), 288; https://doi.org/10.3390/electronics13020288
Available online: https://www.mdpi.com/2079-9292/13/2/288
6. “A Survey on Video Streaming for Next-Generation Vehicular Networks”
by Chenn-Jung Huang, Hao-Wen Cheng, Yi-Hung Lien and Mei-En Jian
Electronics 2024, 13(3), 649; https://doi.org/10.3390/electronics13030649
Available online: https://www.mdpi.com/2079-9292/13/3/649
7. “Enhancing Road Safety: Deep Learning-Based Intelligent Driver Drowsiness Detection for Advanced Driver-Assistance Systems”
by Eunmok Yang and Okyeon Yi
Electronics 2024, 13(4), 708; https://doi.org/10.3390/electronics13040708
Available online: https://www.mdpi.com/2079-9292/13/4/708
8. “Virtual Tools for Testing Autonomous Driving: A Survey and Benchmark of Simulators, Datasets, and Competitions”
by Tantan Zhang, Haipeng Liu, Weijie Wang and Xinwei Wang
Electronics 2024, 13(17), 3486; https://doi.org/10.3390/electronics13173486
Available online: https://www.mdpi.com/2079-9292/13/17/3486
9. “Autonomous Driving System Architecture with Integrated ROS2 and Adaptive AUTOSAR”
by Dongwon Hong and Changjoo Moon
Electronics 2024, 13(7), 1303; https://doi.org/10.3390/electronics13071303
Available online: https://www.mdpi.com/2079-9292/13/7/1303
by Elena Politi, Patrick Purucker, Morten Larsen, Ricardo J. Dos Reis, Raj Thilak Rajan, Sergio Duarte Penna, Jan-Floris Boer, Panagiotis Rodosthenous, George Dimitrakopoulos, Iraklis Varlamis et al.
Electronics 2024, 13(2), 340; https://doi.org/10.3390/electronics13020340
Available online: https://www.mdpi.com/2079-9292/13/2/340