ArticleScientific reports2024
Machine vision-based autonomous road hazard avoidance system for self-driving vehicles.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed.
- Constraint optimization and key factor analysis based vehicle emergency braking strategy generator.Scientific reports · 2026Article
- DDRN: DETR with dual refinement networks for autonomous vehicle object detection.Scientific reports · 2025Article
- Evolution mechanism and progressive reshaping model of driving behaviors when humans take over intelligent vehicles.Communications engineering · 2025Article
- A Lightweight Hybrid Detection System Based on the OpenMV Vision Module for an Embedded Transportation Vehicle.Sensors (Basel, Switzerland) · 2025Article
- RGE-YOLO enables lightweight road packaging bag detection for enhanced driving safety.Scientific reports · 2025Article
- Aggregate global features into separable hierarchical lane detection transformer.Scientific reports · 2025Article
- SMEA-YOLOv8n: A Sheep Facial Expression Recognition Method Based on an Improved YOLOv8n Model.Animals : an open access journal from MDPI · 2024Article
- Deep Learning-driven Automatic Nuclei Segmentation of Label-free Live Cell Chromatin-sensitive Partial Wave Spectroscopic Microscopy Imaging.bioRxiv : the preprint server for biology · 2024Article
- Deep learning enabled label-free microfluidic droplet classification for single cell functional assays.Frontiers in bioengineering and biotechnology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The resolution of traffic congestion and personal safety issues holds paramount importance for human's life. The ability of an autonomous driving system to navigate complex road conditions is crucial. Deep learning has greatly facilitated machine vision perception in autonomous driving. Aiming at the problem of small target detection in traditional YOLOv5s, this paper proposes an optimized target detection algorithm. The C3 module on the algorithm's backbone is upgraded to the CBAMC3 module, introducing a novel GELU activation function and EfficiCIoU loss function, which accelerate convergence on position loss l
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.