Traffic sign detection system with efficient and low-bit neural network compression in computer vision
In a traffic setting, traffic sign detection is a critical task. It is becoming even more important as the number of vehicles on the road grows, increasing the accident rate. Object detection in embedded devices can be used to alert distracted drivers to traffic signs so that the signs can direct t...
Saved in:
Main Author: | Thin Lat Han |
---|---|
Other Authors: | Loke Yuan Ren |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/158549 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Compute-efficient techniques for vision-based traffic surveillance
by: Garg, Kratika
Published: (2020) -
Transformers for computer vision
by: Deng, Yaojun
Published: (2022) -
Vision-based system for qualitative road traffic data analysis
by: Zhang, Chenyu
Published: (2013) -
Computer vision optimization on embedded GPU board
by: Li, Ziyang
Published: (2022) -
Cat detection using computer vision
by: Chen, Zhe.
Published: (2012)