On the public citation graph

Traffic lights system based on RFID for autonomous driving vehicle

https://doi.org/10.1109/ntict.2017.7976149

0 signed · 16 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00138-011-0404-2openalex-snapshot

Recent progress in road and lane detection: a survey

inferredcites →https://doi.org/10.1109/5254.736001openalex-snapshot

Autonomous driving goes downtown

inferredcites →https://doi.org/10.1109/iciev.2014.6850751openalex-snapshot

Smart traffic control system with application of image processing techniques

inferredcites →https://doi.org/10.1109/itsc.2014.6958056openalex-snapshot

Traffic light recognition in varying illumination using deep learning and saliency map

inferredcites →https://doi.org/10.1109/ivs.2016.7535569openalex-snapshot

Validation of a HMI concept indicating the status of the traffic light signal in the context of automated driving in urban environment

inferredcites →https://doi.org/10.1109/jsen.2014.2360288openalex-snapshot

Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection

inferredcites →https://doi.org/10.1140/epjst/e2012-01703-3openalex-snapshot

Smart cities of the future

inferredcites →https://doi.org/10.3390/s100605872openalex-snapshot

An RFID-Based Intelligent Vehicle Speed Controller Using Active Traffic Signals

inferredcites →https://doi.org/10.5120/6174-8601openalex-snapshot

RFID Technology for Smart Vehicle Control using Traffic Signal & Speed Limit Tag Communication

inferredcites →https://doi.org/10.51202/9783181022894-167openalex-snapshot

V2X Based Traffic Light Assistant for Increased Efficiency of Hybrid & Electric Vehicles

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.3842837openalex-extracted

Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning Survey

inferred← citeshttps://doi.org/10.1109/i2cacis.2018.8603695openalex-snapshot

Development Of Tele-Monitoring Attendance System Using RFID and Photo-Cell

inferred← citeshttps://doi.org/10.1109/icevt48285.2019.8993866openalex-snapshot

Real-Time Image Processing Method Using Raspberry Pi for a Car Model

inferred← citeshttps://doi.org/10.1109/isci51925.2021.9633368openalex-snapshot

Design of Emergency Radio-Frequency Identification (RFID) Traffic Light System

inferred← citeshttps://doi.org/10.3390/s18072385openalex-snapshot

Passive RFID-Based Inventory of Traffic Signs on Roads and Urban Environments

inferred← citeshttps://doi.org/10.4271/2020-01-5201openalex-snapshot

State-of-the-Art and Technical Trends of Road-Based Autonomous Driving System

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