← Назад к работе
Работы, на которые ссылается эта работа
Работ: 29
Работа: Deep learning model for efficient traffic forecasting in intelligent transportation systems
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review
Sajjad Mozaffari, Omar Y. Al-Jarrah, Mehrdad Dianati +2
Обзорная статья2020Цитирований: 3ABITowards 6G: Key technological directions
Chamitha de Alwis, Pardeep Kumar, Quoc‐Viet Pham +4
Статья2022Цитирований: 3ABIMachine Learning-based traffic prediction models for Intelligent Transportation Systems
Azzedine Boukerche, Jiahao Wang
Статья2020Цитирований: 2ABIVehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment
Nengchao Lyu, Jiaqiang Wen, Zhicheng Duan +1
Статья2020Цитирований: 2ABIDeep learning support for intelligent transportation systems
J. Guerrero‐Ibañez, Juan Contreras‐Castillo, Sherali Zeadally
Статья2020Цитирований: 2ABIA perspective on 6G: Requirement, technology, enablers, challenges and future road map
Статья2021Цитирований: 2ABIBehavior Prediction of Traffic Actors for Intelligent Vehicle Using Artificial Intelligence Techniques: A Review
Suresh Kolekar, Shilpa Gite, Biswajeet Pradhan +1
Обзорная статья2021Цитирований: 2ABIPerspectives on 6G wireless communications
Yeh Choongil, Gweon Do Jo, Young‐Jo Ko +1
Статья2022Цитирований: 2ABIEvolution of optical wireless communication for B5G/6G
Zixian Wei, Zhaoming Wang, Jianan Zhang +3
Статья2022Цитирований: 2ABIBRAM-ED: Vehicle Trajectory Prediction Considering the Change of Driving Behavior
Lin Li, Wanzhong Zhao, Chunyan Wang +2
Статья2022Цитирований: 2ABIInternet of wearable things: Advancements and benefits from 6G technologies
Статья2022Цитирований: 2ABIVehicle Trajectory Prediction Method Driven by Raw Sensing Data for Intelligent Vehicles
Qingyu Meng, Hongyan Guo, Jialin Li +2
Статья2023Цитирований: 2ABI