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Driving Behavior Analysis of Intelligent Vehicle System for Lane Detection Using Vision-Sensor

IEEE Sensors Journal, 2021
Lane detection on the road is the most essential phase of existing advanced driver assistance systems (ADAS). In the current road scheme, the lanes are parallel tracks which are marked based on the different speed limit for the vehicles.
D. Dewangan, S. Sahu
semanticscholar   +1 more source

Detecting Anomalies in Intelligent Vehicle Charging and Station Power Supply Systems With Multi-Head Attention Models

IEEE transactions on intelligent transportation systems (Print), 2021
Safe and reliable intelligent charging stations are imperative in an intelligent transportation infrastructure. Over the past few years, a big number of smart charging stations have been deployed, and most of them are online and connected, resulting in ...
Yidong Li, Li Zhang, Zhuo Lv, Wei Wang
semanticscholar   +1 more source

Vehicle Detection through Instance Segmentation using Mask R-CNN for Intelligent Vehicle System

International Conference Intelligent Computing and Control Systems, 2021
The recent advancement in artificial intelligence approach or deep learning techniques explored the ways to facilitate automation in various sectors. The application of deep learning with computer vision field has resulted in realization of intelligent ...
Apoorva Ojha, S. Sahu, D. Dewangan
semanticscholar   +1 more source

A Survey of Intelligent Driving Vehicle Trajectory Tracking Based on Vehicle Dynamics

SAE International Journal of Vehicle Dynamics Stability and NVH, 2023
Trajectory tracking control, as one of the core technologies of intelligent driving vehicles, determines the driving performance and safety of intelligent driving vehicles and has received extensive attention and research. In recent years, most of the
Yunfei Zha   +4 more
semanticscholar   +1 more source

Blockchain-Enabled Intelligent Vehicle Communication Systems: Trust Bit Rewards and Clustering for Autonomous Vehicles

2025 International Conference on Electronics and Renewable Systems (ICEARS)
In the absence of a permanent infrastructure, the networks are utilized for temporary events, military operations, and disaster recovery. A Blockchain-Enabled Intelligent Vehicle Communication Systems: Trust Bit Rewards and Clustering for Autonomous ...
P. Nirmala
semanticscholar   +1 more source

Future Transportation: Intelligent Vehicles in Intelligent Environment

2007 4th International Symposium on Applied Computational Intelligence and Informatics, 2007
In the paper there the structure and build-up of transportation systems, their development, and especially, the needs established by the society that motivate the continuous expansion of such systems will be outlined. The development is determined by the four participants ("components") of these systems, namely by the human beings, vehicles ...
László Nádai, Roland Kovács
openaire   +1 more source

Memory-Event-Triggered Tracking Control for Intelligent Vehicle Transportation Systems: A Leader-Following Approach

IEEE transactions on intelligent transportation systems (Print)
This paper addresses the problem of adaptive memory-event-triggered control for intelligent vehicle transportation systems (IVTSs). Unlike the existing methods for modeling IVTSs, the acceleration information is introduced in the desired distance to ...
Zhou Gu   +4 more
semanticscholar   +1 more source

Intelligent Vehicles

2008
This Chapter describes the emerging robotics application field of intelligent vehicles - motor vehicles that have autonomous functions and capabilities.
BROGGI, Alberto   +3 more
openaire   +3 more sources

On the mobile intelligence of autonomous vehicles

NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016
Despite impressive developments in autonomous driving technology, little work has been devoted to improving the mobility intelligence of self-driving vehicles. Intelligent transport mobility, where cars autonomously or collaborative take mobility decisions, will be of major importance for future transportation systems.
José Azevedo   +2 more
openaire   +1 more source

Cloud-Enabled Neural Networks for Intelligent Vehicle Emissions Tracking and Analysis

2024 International Conference on Automation and Computation (AUTOCOM)
A system for smart vehicle emissions monitoring and analysis using cloud computing and neural networks is presented in this paper. As global environmental concerns develop, monitoring and reducing vehicle emissions is crucial.
Nukala Sujata   +5 more
semanticscholar   +1 more source

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