Z-YOLOv8s-based approach for road object recognition in complex traffic scenarios
Object detection in road scenarios is crucial for intelligent transport systems and autonomous driving, but complex traffic conditions pose significant challenges. This paper introduces Z-You Only Look Once version 8 small (Z-YOLOv8s), designed to improve both accuracy and real-time efficiency under...
Saved in:
Main Authors: | Zhao, Ruixin, Tang, Sai Hong, Supeni, Eris Elianddy, Abdul Rahim, Sharafiz, Fan, Luxin |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024
|
Online Access: | http://psasir.upm.edu.my/id/eprint/113306/1/113306.pdf http://psasir.upm.edu.my/id/eprint/113306/ https://www.sciencedirect.com/science/article/pii/S1110016824007300 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing autonomous driving safety: a robust traffic sign detection and recognition model TSD-YOLO
by: Zhao, Ruixin, et al.
Published: (2024) -
Assessing the performance of YOLOv5, YOLOv6, and YOLOv7 in road defect detection and classification: a comparative study
by: Mohd Yusof, Najiha 'Izzaty, et al.
Published: (2024) -
Oceanographic Object Detection with YOLOv3
by: Sekaran, Sugethan
Published: (2019) -
Heating Value Evaluation of Palm Oil Waste
by: Supeni, Eris Elianddy
Published: (2004) -
COMPARISON OF CHILD DETECTION SYSTEM WITH ARTIFICIAL INTELLIGENCE USING MOBILENET, YOLOV2 AND YOLOV3 FOR OBJECT DETECTION
by: DON PEREZ, LIAP
Published: (2019)