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Intelligent Identification of Moving Trajectory of Autonomous Vehicle Based on Friction Nano-Generator

IEEE Transactions on Intelligent Transportation Systems
The purpose of this paper is to explore an intelligent identification method of autonomous vehicle moving trajectory based on friction nano-generator. This method uses friction nano-generator to obtain energy from the friction between the vehicle tire ...
Caichang Ding   +2 more
exaly   +2 more sources

Simultaneous Trajectory Planning and Tracking Using an MPC Method for Cyber-Physical Systems: A Case Study of Obstacle Avoidance for an Intelligent Vehicle

IEEE Transactions on Industrial Informatics, 2018
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 discussion. This paper presents a simultaneous trajectory planning and
Hongyan Guo, Chen Shen, Hui Zhang
exaly   +2 more sources

Optimal control of intelligent vehicle longitudinal dynamics via hybrid model predictive control

Robotics and Autonomous Systems, 2019
This paper presents an innovative application of the hybrid model predictive control (HMPC) scheme to optimally regulate the intelligent vehicle longitudinal velocity.
Xiaoqiang Sun   +2 more
exaly   +2 more sources

Intelligent Vehicle Carriers to Support General Civilian Purposes

IEEE Transactions on Intelligent Vehicles, 2023
This letter, as a brief summary of the fourth part of the Distributed/Decentralized Hybrid Workshop on Sustainability for Transportation and Logistics (DHW-STL), explores new opportunities for vehicle carriers (VCs) and the potential of various carrier ...
Hailong Huang   +4 more
semanticscholar   +1 more source

A Platelet Intelligent Vehicle with Navigation for Cancer Photothermal-Chemotherapy.

ACS Nano, 2022
Controllable and visible delivery of therapeutic agents is critical for tumor precise therapy. Tumor targeting and deep penetration of therapeutic agents are still challenging issues for controllable delivery.
Yan Zhang   +7 more
semanticscholar   +1 more source

Path Planning for Intelligent Vehicle Collision Avoidance of Dynamic Pedestrian Using Att-LSTM, MSFM, and MPC at Unsignalized Crosswalk

IEEE transactions on industrial electronics (1982. Print), 2022
In this article, path planning for intelligent vehicle collision avoidance of dynamic pedestrian using attention mechanism-long short-term memory network (Att-LSTM), modified social force model (MSFM), and model predictive control (MPC) is systematically
Hao Chen, Xi Zhang
semanticscholar   +1 more source

Federated learning‐based trajectory prediction model with privacy preserving for intelligent vehicle

International Journal of Intelligent Systems, 2022
The existing trajectory prediction is mainly for specific road sections, which is poor to adapt to complex and changing traffic scenarios. Meanwhile, decentralized trajectory data is hard to be fully utilized in the data silo environment.
Mu Han   +4 more
semanticscholar   +1 more source

Deep Learning-Based Speed Bump Detection Model for Intelligent Vehicle System Using Raspberry Pi

IEEE Sensors Journal, 2021
Artificial intelligence in vision based approaches have proven to be effective in various phases of intelligent vehicle system (IVS). An IVS has to intelligently take many critical decisions in heterogeneous environment.
D. Dewangan, S. Sahu
semanticscholar   +1 more source

A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments

IEEE Transactions on Instrumentation and Measurement, 2022
The cooperative positioning method based on wireless sensors has become a popular positioning solution for the intelligent vehicle in recent years, especially in global navigation satellite system (GNSS)-denied environments. However, the error due to the
Yue Hu   +5 more
semanticscholar   +1 more source

Robust sliding mode prediction path tracking control for intelligent vehicle

J. Syst. Control. Eng., 2022
Because of the characteristics of nonlinearity, strong coupling, fast time-varying, and uncertainty of the intelligent vehicle movement, the accurate path tracking control of the intelligent vehicle becomes a challenge.
Yan Wu   +3 more
semanticscholar   +1 more source

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