Vision-based autonomous vehicle systems based on deep learning: A systematic literature review

MI Pavel, SY Tan, A Abdullah - Applied Sciences, 2022 - mdpi.com
In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …

Performance evaluation of two machine learning techniques in heating and cooling loads forecasting of residential buildings

A Moradzadeh, A Mansour-Saatloo… - Applied Sciences, 2020 - mdpi.com
Nowadays, since energy management of buildings contributes to the operation cost, many
efforts are made to optimize the energy consumption of buildings. In addition, the most …

Blockchain-based secure and intelligent sensing scheme for autonomous vehicles activity tracking beyond 5g networks

D Reebadiya, T Rathod, R Gupta, S Tanwar… - Peer-to-Peer Networking …, 2021 - Springer
For the past few years, the automation of transportation becomes a hot research topic for
smart cities. Intelligent Transportation System (ITS) aims to manage and optimize the traffic …

A novel lane-changing decision model for autonomous vehicles based on deep autoencoder network and XGBoost

X Gu, Y Han, J Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Lane-changing (LC) is a critical task for autonomous driving, especially in complex dynamic
environments. Numerous automatic LC algorithms have been proposed. This topic …

A CNN-LSTM car-following model considering generalization ability

P Qin, H Li, Z Li, W Guan, Y He - Sensors, 2023 - mdpi.com
To explore the potential relationship between the leading vehicle and the following vehicle
during car-following, we proposed a novel car-following model combining a convolutional …

[HTML][HTML] Toward accurate indoor positioning: An RSS-based fusion of UWB and machine-learning-enhanced WiFi

G Kia, L Ruotsalainen, J Talvitie - Sensors, 2022 - mdpi.com
A wide variety of sensors and devices are used in indoor positioning scenarios to improve
localization accuracy and overcome harsh radio propagation conditions. The availability of …

Autonomous driving systems and experiences: A comprehensive survey

S Jain, A Kumar, K Kaushik, R Krishnamurthi - … and Connected Heavy …, 2022 - Elsevier
This chapter surveys systems and sub-systems associated with autonomous vehicles. This
survey identifies and analyzes the routing, re-routing, and rebalancing algorithms necessary …

Travel time prediction and explanation with spatio-temporal features: A comparative study

I Ahmed, I Kumara, V Reshadat, ASM Kayes… - Electronics, 2021 - mdpi.com
Travel time information is used as input or auxiliary data for tasks such as dynamic
navigation, infrastructure planning, congestion control, and accident detection. Various data …

Prediction of ship following behavior in ice-covered waters in the Northern Sea Route based on hybrid theory and data-driven approach

K Duan, F Huang, S Zhang, Y Shu, S Dong, M Liu - Ocean Engineering, 2024 - Elsevier
Abstract The Northern Sea Route (NSR) is perennially ice-covered. As shipping demand
increases, the inherent theoretical following model is difficult to describe the increasingly …

[HTML][HTML] 基于决策机理与支持向量机的车辆换道决策模型

谷新平, 韩云鹏, 于俊甫 - 哈尔滨工业大学学报, 2020 - hit.alljournals.cn
驾驶决策机制是保障自动驾驶车辆驾驶安全的关键技术, 而换道研究是其重要课题. 然而,
在复杂的动态环境下行驶时, 使智能车辆做出安全, 符合要求的换道决策仍然是一个难点. 为此 …