[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Jeong et al., 2018 - Google Patents

An integrated self-diagnosis system for an autonomous vehicle based on an IoT gateway and deep learning

Jeong et al., 2018

View HTML
Document ID
15209453210897045714
Author
Jeong Y
Son S
Jeong E
Lee B
Publication year
Publication venue
Applied Sciences

External Links

Snippet

This paper proposes “An Integrated Self-diagnosis System (ISS) for an Autonomous Vehicle based on an Internet of Things (IoT) Gateway and Deep Learning” that collects information from the sensors of an autonomous vehicle, diagnoses itself, and the influence between its …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Health care, e.g. hospitals; Social work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce

Similar Documents

Publication Publication Date Title
Jeong et al. An integrated self-diagnosis system for an autonomous vehicle based on an IoT gateway and deep learning
Aldhyani et al. Attacks to automatous vehicles: A deep learning algorithm for cybersecurity
Zhou et al. Anomaly detection of CAN bus messages using a deep neural network for autonomous vehicles
Fernandez et al. Ontology-based architecture for intelligent transportation systems using a traffic sensor network
Cheng et al. TCAN-IDS: intrusion detection system for internet of vehicle using temporal convolutional attention network
Xiao et al. Internet of things meets vehicles: Sheltering in-vehicle network through lightweight machine learning
Impedovo et al. Artificial intelligence applications to smart city and smart enterprise
Jang et al. Smart roadside system for driver assistance and safety warnings: Framework and applications
Boukhari et al. Proprioceptive sensors’ fault tolerant control strategy for an autonomous vehicle
Viktorović et al. Connected Traffic Data Ontology (CTDO) for intelligent urban traffic systems focused on connected (Semi) autonomous vehicles
Al-Refai et al. In-vehicle data for predicting road conditions and driving style using machine learning
Kwon et al. A study on big data thinking of the internet of things-based smart-connected car in conjunction with controller area network bus and 4G-long term evolution
Park et al. Scenario-mining for level 4 automated vehicle safety assessment from real accident situations in urban areas using a natural language process
Chen et al. A novel hazard analysis and risk assessment approach for road vehicle functional safety through integrating STPA with FMEA
Gao et al. Longitudinal control for Mengshi autonomous vehicle via Gauss cloud model
Shin et al. Cyber-physical attack detection and recovery based on RNN in automotive brake systems
Lee et al. Smart mobility with Big Data: Approaches, applications, and challenges
Šabanovič et al. Feasibility of a neural network-based virtual sensor for vehicle unsprung mass relative velocity estimation
Suganthi et al. Advanced driver assistance system based on IoT V2V and V2I for vision enabled lane changing with futuristic drivability
Lattanzi et al. Improving machine learning identification of unsafe driver behavior by means of sensor fusion
Kim et al. Sensor-based extraction approaches of in-vehicle information for driver behavior analysis
Noei et al. Longitudinal control for connected and automated vehicles in contested environments
Li et al. Vehicle interaction behavior prediction with self-attention
Jeong et al. The lightweight autonomous vehicle self-diagnosis (LAVS) using machine learning based on sensors and multi-protocol IoT gateway
Poza-Lujan et al. Distributed architecture to integrate sensor information: Object recognition for smart cities