Robust lane detection from continuous driving scenes using deep neural networks

Q Zou, H Jiang, Q Dai, Y Yue, L Chen… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Lane detection in driving scenes is an important module for autonomous vehicles and
advanced driver assistance systems. In recent years, many sophisticated lane detection …

BSIS: Blockchain-based secure incentive scheme for energy delivery in vehicular energy network

Y Wang, Z Su, N Zhang - IEEE transactions on industrial …, 2019 - ieeexplore.ieee.org
Vehicular energy network (VEN), as an important part of the Internet of Things for the smart
city, can facilitate the renewable energy (RE) transportation over a large geographical area …

Assistant vehicle localization based on three collaborative base stations via SBL-based robust DOA estimation

H Wang, L Wan, M Dong, K Ota… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
As a promising research area in Internet of Things (IoT), Internet of Vehicles (IoV) has
attracted much attention in wireless communication and network. In general, vehicle …

Secure V2X communication network based on intelligent PKI and edge computing

H Qiu, M Qiu, R Lu - IEEE Network, 2019 - ieeexplore.ieee.org
The current remarkable development of communication technology is enabling the
intelligent driving system by providing a V2X network to exchange and process …

SDN-based resource management for autonomous vehicular networks: A multi-access edge computing approach

H Peng, Q Ye, XS Shen - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
Enabling HD-map-assisted cooperative driving among CAVs to improve navigation safety
faces technical challenges due to increased communication traffic volume for data …

Spectrum management for multi-access edge computing in autonomous vehicular networks

H Peng, Q Ye, X Shen - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
In this paper, a dynamic spectrum management framework is proposed to improve spectrum
resource utilization in a multi-access edge computing (MEC) in autonomous vehicular …

Cooperation techniques for a cellular internet of unmanned aerial vehicles

H Zhang, L Song, Z Han… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
UAVs are powerful Internet-of-Things components to provide sensing and communications
in the air due to their advantages in mobility and flexibility. As aerial users, UAVs are …

An integrated threat assessment algorithm for decision-making of autonomous driving vehicles

C Xu, W Zhao, C Wang - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
In order to decide a safe and reliable trajectory for autonomous driving vehicles, the threat of
surrounding vehicles need to be assessed quantitatively and consider the potential risk. This …

Thermal infrared pedestrian segmentation based on conditional GAN

P Wang, X Bai - IEEE transactions on image processing, 2019 - ieeexplore.ieee.org
A novel thermal infrared pedestrian segmentation algorithm based on conditional generative
adversarial network (IPS-cGAN) is proposed for intelligent vehicular applications. The …

Robust path following control at driving/handling limits of an autonomous electric racecar

J Ni, J Hu, C Xiang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
This paper proposes a robust path following controller that aims to controlling the
autonomous ground vehicle to the handling and driving limits, which is demonstrated by an …