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

Jain et al., 2019 - Google Patents

Smart city: Traffic management system using smart sensor network

Jain et al., 2019

View PDF
Document ID
7273880908502711036
Author
Jain S
Kumar A
Priyadharshini M
Publication year
Publication venue
Journal of Physics: Conference Series

External Links

Snippet

Abstract by 2050, 70% of the world population is estimated to migrate toward the city, covering just 2% of the earth's surface. This leads to many issues, and traffic congestion is one among them. To continue to serve and improve the life of the growing population, it is …
Continue reading at iopscience.iop.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/04Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • G08G1/08Controlling traffic signals according to detected number or speed of vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684Categorising the entire scene, e.g. birthday party or wedding scene
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image

Similar Documents

Publication Publication Date Title
Ye et al. Real-time object detection network in UAV-vision based on CNN and transformer
CN114970321A (en) Scene flow digital twinning method and system based on dynamic trajectory flow
CN112078593B (en) Automatic driving system and method based on multiple network collaborative models
Haavaldsen et al. Autonomous vehicle control: End-to-end learning in simulated urban environments
Jain et al. Smart city: Traffic management system using smart sensor network
CN113111876A (en) Method and system for obtaining evidence of traffic violation
Ciganovic et al. Autonomous car driving-one possible implementation using machine learning algorithm
Ananthajothi et al. LLM's for Autonomous Driving: A New Way to Teach Machines to Drive
Šusteková et al. How is the artificial intelligence used in applications for traffic management
CN117671647B (en) Multitasking road scene perception method
Tippannavar et al. SDR–Self Driving Car Implemented using Reinforcement Learning & Behavioural Cloning
Changalasetty et al. Identification and classification of moving vehicles on road
Meftah et al. Deep residual network for autonomous vehicles obstacle avoidance
HUNG Data-driven understanding of Ai-based traffic signal control and its implications on low-carbon urban transport systems
Chen et al. Research on pedestrian intrusion detection in static scenes
Chen et al. Detrive: Imitation learning with transformer detection for end-to-end autonomous driving
CN112634610A (en) Natural driving data acquisition method and device, electronic equipment and storage medium
Nijim et al. Advanced Traffic Management System for Smart Cities
Vivek et al. Survey of traffic congestion detection and traffic management through CNN
Yu et al. Intelligent vehicle road type recognition based on mask R-CNN
Dabboussi et al. Data-Driven Methods and Challenges for Intelligent Transportation Systems in Smart Cities
Howlader et al. Real-Time Traffic Control Using IoT Nodes Based on Traffic Density Information
Hori et al. Analysis of overhead view images at intersection using machine learning
Saif et al. A modern technique to detect potholes by Computer Vision and Deep Learning
Sajna et al. Learning-Based Smart Parking System