Cargando…

Interactive Lane Keeping System for Autonomous Vehicles Using LSTM-RNN Considering Driving Environments

This paper presents an interactive lane keeping model for an advanced driver assistant system and autonomous vehicle. The proposed model considers not only the lane markers but also the interaction with surrounding vehicles in determining steering inputs. The proposed algorithm is designed based on...

Descripción completa

Detalles Bibliográficos
Autor principal:	Jeong, Yonghwan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782904/ https://www.ncbi.nlm.nih.gov/pubmed/36560257 http://dx.doi.org/10.3390/s22249889

Ejemplares similares

On the Image Sensor Processing for Lane Detection and Control in Vehicle Lane Keeping Systems
por: Kuo, C.Y., et al.
Publicado: (2019)

Obstacle Detection and Safely Navigate the Autonomous Vehicle from Unexpected Obstacles on the Driving Lane
por: Haris, Malik, et al.
Publicado: (2020)

RNN- and LSTM-Based Soft Sensors Transferability for an Industrial Process
por: Curreri, Francesco, et al.
Publicado: (2021)

Groundwater quality prediction based on LSTM RNN: An Iranian experience
por: Valadkhan, D., et al.
Publicado: (2022)

Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic
por: Wang, Chang, et al.
Publicado: (2020)

Audio-Visual Stress Classification Using Cascaded RNN-LSTM Networks
por: Gupta, Megha V., et al.
Publicado: (2022)

Determination of Traffic Lane in Tunnel and Positioning of Autonomous Vehicles Using Chromaticity of LED Lights
por: Woo, Joo, et al.
Publicado: (2022)

A LSTM-RNN based intelligent control approach for temperature and humidity environment of urban utility tunnels
por: Peng, Fang-Le, et al.
Publicado: (2023)

Splice-site identification for exon prediction using bidirectional LSTM-RNN approach
por: Singh, Noopur, et al.
Publicado: (2022)

Detection and Risk Analysis with Lane-Changing Decision Algorithms for Autonomous Vehicles
por: Mechernene, Amin, et al.
Publicado: (2022)

Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
por: Yang, Quantao, et al.
Publicado: (2021)

Haptic Lane-Keeping Assistance for Truck Driving: A Test Track Study
por: Roozendaal, Jeroen, et al.
Publicado: (2020)

Autonomous Ground Vehicle Lane-Keeping LPV Model-Based Control: Dual-Rate State Estimation and Comparison of Different Real-Time Control Strategies
por: Salt Ducajú, Julián M., et al.
Publicado: (2021)

RNN and BiLSTM Fusion for Accurate Automatic Epileptic Seizure Diagnosis Using EEG Signals
por: Samee, Nagwan Abdel, et al.
Publicado: (2022)

Analysis of Lane-Changing Decision-Making Behavior of Autonomous Vehicles Based on Molecular Dynamics
por: Qu, Dayi, et al.
Publicado: (2022)

A Soft Sensor to Estimate the Opening of Greenhouse Vents Based on an LSTM-RNN Neural Network
por: Guesbaya, Mounir, et al.
Publicado: (2023)

A Classification Model of EEG Signals Based on RNN-LSTM for Diagnosing Focal and Generalized Epilepsy
por: Najafi, Tahereh, et al.
Publicado: (2022)

Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal
por: Pouromran, Fatemeh, et al.
Publicado: (2022)

Lane Position Detection Based on Long Short-Term Memory (LSTM)
por: Yang, Wei, et al.
Publicado: (2020)

Vehicle-in-Virtual-Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration
por: Cao, Xincheng, et al.
Publicado: (2023)

Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
por: Feng, Shuo, et al.
Publicado: (2021)

Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness
por: Chui, Kwok Tai, et al.
Publicado: (2021)

Lane Detection Algorithm for Intelligent Vehicles in Complex Road Conditions and Dynamic Environments
por: Cao, Jingwei, et al.
Publicado: (2019)

Graph MADDPG with RNN for multiagent cooperative environment
por: Wei, Xiaolong, et al.
Publicado: (2023)

Multi-Modal Vehicle Trajectory Prediction by Collaborative Learning of Lane Orientation, Vehicle Interaction, and Intention
por: Tian, Wei, et al.
Publicado: (2022)

Longitudinal Predictive Control for Vehicle-Following Collision Avoidance in Autonomous Driving Considering Distance and Acceleration Compensation
por: Yin, Shutong, et al.
Publicado: (2022)

Design and development of Residential Sector Load Prediction model during COVID-19 Pandemic using LSTM based RNN
por: Ajitha, A., et al.
Publicado: (2022)

Right-lateralised lane keeping in young and older British drivers
por: Learmonth, Gemma, et al.
Publicado: (2018)

Cooperative Perception Technology of Autonomous Driving in the Internet of Vehicles Environment: A Review
por: Cui, Guangzhen, et al.
Publicado: (2022)

A Game Theory-Based Approach for Modeling Autonomous Vehicle Behavior in Congested, Urban Lane-Changing Scenarios
por: Smirnov, Nikita, et al.
Publicado: (2021)

Sensing and Connection Systems for Assisted and Autonomous Driving and Unmanned Vehicles
por: Saponara, Sergio
Publicado: (2018)

A MEMS IMU De-Noising Method Using Long Short Term Memory Recurrent Neural Networks (LSTM-RNN)
por: Jiang, Changhui, et al.
Publicado: (2018)

DVH Prediction for VMAT in NPC with GRU-RNN: An Improved Method by Considering Biological Effects
por: Zhuang, Yongdong, et al.
Publicado: (2021)

Electrogastrography in Autonomous Vehicles—An Objective Method for Assessment of Motion Sickness in Simulated Driving Environments
por: Gruden, Timotej, et al.
Publicado: (2021)

Longitudinal and Lateral Control Strategies for Automatic Lane Change to Avoid Collision in Vehicle High-Speed Driving
por: Zhang, Senlin, et al.
Publicado: (2023)

Lane clearance approach for emergency vehicles in highways network
por: Khatri, Anshu, et al.
Publicado: (2022)

Conditional Artificial Potential Field-Based Autonomous Vehicle Safety Control with Interference of Lane Changing in Mixed Traffic Scenario
por: Gao, Kai, et al.
Publicado: (2019)

Development of an Autonomous Driving Vehicle for Garbage Collection in Residential Areas
por: Pyo, Jeong-Won, et al.
Publicado: (2022)

CAR T-cells: Driving in the Fast Lane
por: Ansell, Stephen M., et al.
Publicado: (2019)

System, Design and Experimental Validation of Autonomous Vehicle in an Unconstrained Environment
por: Azam, Shoaib, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_c7palucfp0lumq8vudon1dugmo