Real-time attribute based deep learning network for traffic sign detection
Traffic sign detection is one of the key components of the Advanced Driving Assistant System (ADAS), which aims to detect and classify street signs in real time. However, traffic sign detection has challenges in real applications requiring high precision and real-time recall. Those challenges are du...
Saved in:
Main Authors: | Mohamed Elhawary, Hossamelden, Suddamalla, Upendra, Shapiai, Mohd. Ibrahim, Wong, Anthony, Zamzuri, Hairi |
---|---|
Format: | Conference or Workshop Item |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/98694/ http://dx.doi.org/10.1109/ICITEE56407.2022.9954110 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real-Time Traffic Sign Detection And Recognition Using Raspberry Pi
by: Md Isa, Ida Syafiza, et al.
Published: (2022) -
Malaysian traffic sign dataset for traffic sign detection and recognition systems
by: Madam, A., et al.
Published: (2016) -
Road Sign Detection and Recognition System for Real-Time Embedded Applications
by: Md Sallah, Siti Sarah, et al.
Published: (2011) -
Recognising Malaysia traffic sign with rain drop disturbance using deep learning
by: Pang, Wan Chee
Published: (2022) -
Traffic Sign Detection and Classification for Driver Assistant System
by: Md Ghazaly, Mariam, et al.
Published: (2014)