Object classification using CNN-based fusion of vision and LIDAR in autonomous vehicle environment

H Gao, B Cheng, J Wang, K Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents an object classification method for vision and light detection and
ranging (LIDAR) fusion of autonomous vehicles in the environment. This method is based on …

Levenberg–Marquardt backpropagation training of multilayer neural networks for state estimation of a safety-critical cyber-physical system

C Lv, Y Xing, J Zhang, X Na, Y Li, T Liu… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
As an important safety-critical cyber-physical system (CPS), the braking system is essential
to the safe operation of the electric vehicle. Accurate estimation of the brake pressure is of …

Driving-style-based codesign optimization of an automated electric vehicle: A cyber-physical system approach

C Lv, X Hu, A Sangiovanni-Vincentelli… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper studies the codesign optimization approach to determine how to optimally adapt
automatic control of an intelligent electric vehicle to driving styles. A cyber-physical system …

Artificial intelligence for securing industrial-based cyber–physical systems

Z Lv, D Chen, R Lou, A Alazab - Future generation computer systems, 2021 - Elsevier
Objective: The combination of artificial intelligence and cyber–physical​ systems (CPSs) in
buildings has many advantages. Therefore, CPSs and artificial intelligence are studied …

Charging pattern optimization for lithium-ion batteries with an electrothermal-aging model

K Liu, C Zou, K Li, T Wik - IEEE transactions on industrial …, 2018 - ieeexplore.ieee.org
This paper applies advanced battery modeling and multiobjective constrained nonlinear
optimization techniques to derive suitable charging patterns for lithium-ion batteries. Three …

Simultaneous trajectory planning and tracking using an MPC method for cyber-physical systems: A case study of obstacle avoidance for an intelligent vehicle

H Guo, C Shen, H Zhang, H Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
As a typical example of cyber-physical systems, intelligent vehicles are receiving increasing
attention, and the obstacle avoidance problem for such vehicles has become a hot topic of …

Energy management for a power-split hybrid electric bus via deep reinforcement learning with terrain information

Y Li, H He, A Khajepour, H Wang, J Peng - Applied Energy, 2019 - Elsevier
Due to the high mileage and heavy load capabilities of hybrid commercial vehicles, energy
management becomes crucial in improving their fuel economy. In this paper, terrain …

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

T Li, C Li, J Luo, L Song - Intelligent and Converged Networks, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure,
wireless communication networks, and central cloud platforms. Wireless recommendations …

MME-EKF-based path-tracking control of autonomous vehicles considering input saturation

C Hu, Z Wang, H Taghavifar, J Na, Y Qin… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper investigates the path-tracking control issue for autonomous ground vehicles with
the integral sliding mode control (ISMC) considering the transient performance …

Advances in vision-based lane detection: Algorithms, integration, assessment, and perspectives on ACP-based parallel vision

Y Xing, C Lv, L Chen, H Wang, H Wang… - IEEE/CAA Journal of …, 2018 - ieeexplore.ieee.org
Lane detection is a fundamental aspect of most current advanced driver assistance systems
(ADASs). A large number of existing results focus on the study of vision-based lane …