SD-YOLO-AWDNet: A hybrid approach for smart object detection in challenging weather for self-driving cars-Reference-Cited by-同舟云学术

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SD-YOLO-AWDNet: A hybrid approach for smart object detection in challenging weather for self-driving cars

Published:2024-12 Issue: Volume:256 Page:124942
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rashmi ^ORCID,Chaudhry Rashmi^ORCID

Publisher

Elsevier BV

Reference67 articles.

1. YOLO v3-tiny: Object detection and recognition using one stage improved model;Adarsh,2020

2. YOLOv4: Optimal speed and accuracy of object detection;Bochkovskiy,2020

3. YOLOv4-5D: An effective and efficient object detector for autonomous driving;Cai;IEEE Transactions on Instrumentation and Measurement,2021

4. DenseLightNet: A light-weight vehicle detection network for autonomous driving;Chen;IEEE Transactions on Industrial Electronics,2020

5. Tiny-YOLOv7: Tiny object detection model for drone imagery;Cheng,2023

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