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IDOD-YOLOV7: Image-Dehazing YOLOV7 for Object Detection in Low-Light Foggy Traffic Environments

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58568-6_45openalex-snapshot

Prior-Based Domain Adaptive Object Detection for Hazy and Rainy Conditions

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot

SSD: Single Shot MultiBox Detector

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_10openalex-snapshot

Single Image Dehazing via Multi-scale Convolutional Neural Networks

inferredcites →https://doi.org/10.1007/s11220-021-00342-6openalex-snapshot

Modified Cascade RCNN Based on Contextual Information for Vehicle Detection

inferredcites →https://doi.org/10.1007/s11263-011-0508-1openalex-snapshot

Bayesian Defogging

inferredcites →https://doi.org/10.1007/s11263-021-01431-5openalex-snapshot

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network

inferredcites →https://doi.org/10.1016/j.measurement.2021.110530openalex-snapshot

Detection of coal and gangue based on improved YOLOv5.1 which embedded scSE module

inferredcites →https://doi.org/10.1016/j.trc.2020.102946openalex-snapshot

Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework

inferredcites →https://doi.org/10.1109/83.826787openalex-snapshot

Image enhancement via adaptive unsharp masking

inferredcites →https://doi.org/10.1109/access.2019.2897283openalex-snapshot

A PSO and BFO-Based Learning Strategy Applied to Faster R-CNN for Object Detection in Autonomous Driving

inferredcites →https://doi.org/10.1109/cvpr.2018.00343openalex-snapshot

Gated Fusion Network for Single Image Dehazing

inferredcites →https://doi.org/10.1109/cvpr.2018.00352openalex-snapshot

Domain Adaptive Faster R-CNN for Object Detection in the Wild

inferredcites →https://doi.org/10.1109/cvpr.2019.00835openalex-snapshot

Enhanced Pix2pix Dehazing Network

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00185openalex-snapshot

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00223openalex-snapshot

Multi-Scale Boosted Dehazing Network With Dense Feature Fusion

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00755openalex-snapshot

Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00710openalex-snapshot

PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors

inferredcites →https://doi.org/10.1109/cvprw.2018.00119openalex-snapshot

O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images

inferredcites →https://doi.org/10.1109/icassp40776.2020.9053920openalex-snapshot

Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing

inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2017.511openalex-snapshot

AOD-Net: All-in-One Dehazing Network

inferredcites →https://doi.org/10.1109/iccv.2019.00741openalex-snapshot

GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing

inferredcites →https://doi.org/10.1109/iccvw54120.2021.00312openalex-snapshot

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

inferredcites →https://doi.org/10.1109/iciba52610.2021.9687869openalex-snapshot

Coal Gangue Recognition Algorithm Based on Improved YOLOv5

inferredcites →https://doi.org/10.1109/icip.2017.8296874openalex-snapshot

HazeRD: An outdoor scene dataset and benchmark for single image dehazing

inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot

Image quality assessment: from error visibility to structural similarity

inferredcites →https://doi.org/10.1109/tip.2015.2446191openalex-snapshot

A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior

inferredcites →https://doi.org/10.1109/tip.2016.2598681openalex-snapshot

DehazeNet: An End-to-End System for Single Image Haze Removal

inferredcites →https://doi.org/10.1109/tip.2018.2867951openalex-snapshot

Benchmarking Single-Image Dehazing and Beyond

inferredcites →https://doi.org/10.1109/tip.2019.2948279openalex-snapshot

Fast Single Image Dehazing Using Saturation Based Transmission Map Estimation

inferredcites →https://doi.org/10.1109/tmm.2021.3082687openalex-snapshot

Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection

inferredcites →https://doi.org/10.1109/tpami.2015.2491937openalex-snapshot

Adherent Raindrop Modeling, Detection and Removal in Video

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/tpami.2020.2977911openalex-snapshot

DSNet: Joint Semantic Learning for Object Detection in Inclement Weather Conditions

inferredcites →https://doi.org/10.1109/wacv.2019.00151openalex-snapshot

Gated Context Aggregation Network for Image Dehazing and Deraining

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1609/aaai.v34i07.6865openalex-snapshot

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

inferredcites →https://doi.org/10.1609/aaai.v36i2.20072openalex-snapshot

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

inferredcites →https://doi.org/10.3390/s20164646openalex-snapshot

Front Vehicle Detection Algorithm for Smart Car Based on Improved SSD Model

inferredcites →https://doi.org/10.3390/s22155903openalex-snapshot

YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection

inferredcites →https://doi.org/10.3390/s22186927openalex-snapshot

Domain Feature Mapping with YOLOv7 for Automated Edge-Based Pallet Racking Inspections

inferredcites →https://doi.org/10.48550/arxiv.1709.09602openalex-snapshot

Exposure: A White-Box Photo Post-Processing Framework

inferredcites →https://doi.org/10.7717/peerj-cs.1145openalex-snapshot

Lightweight multi-scale network for small object detection

inferredcites →https://doi.org/10.7717/peerj-cs.772openalex-snapshot

SVA-SSD: saliency visual attention single shot detector for building detection in low contrast high-resolution satellite images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4750351openalex-extracted

Smooth and Clear: Auxiliary Domain and Inter-Class Contrast Adaptation for Semantic Foggy Scene Segmentation

inferred← citeshttps://doi.org/10.1002/9781394355075.ch17openalex-snapshot

Atmospheric Scattering Model‐Based Dataset for Maritime Object Detection with YOLOv11

inferred← citeshttps://doi.org/10.1007/978-3-031-78110-0_28openalex-snapshot

Environment-Independent Fusion for Robust Object Detection in Adverse Environments

inferred← citeshttps://doi.org/10.1007/978-3-031-81342-9_14openalex-snapshot

From Haze and Smoke to Clarity: An Integration of Deep Learning and Atmospheric Model

inferred← citeshttps://doi.org/10.1007/978-3-032-32458-0_10openalex-snapshot

Utilizing YOLOv7 Algorithm for Gossypium sp. Detection: An Implementation Study

inferred← citeshttps://doi.org/10.1007/978-981-97-1923-5_6openalex-snapshot

A Novel Approach for Object Recognition in Hazy Scenes: Integrating YOLOv7 Architecture with Boundary-Constrained Dehazing

inferred← citeshttps://doi.org/10.1007/978-981-97-5412-0_33openalex-snapshot

Severity Levels Categorization for Detecting Diabetic Retinopathy Using YOLOv7

inferred← citeshttps://doi.org/10.1007/978-981-97-8858-3_20openalex-snapshot

Dual Constraint Parallel Multi-scale Attention Network for Insulator Detection in Foggy Scene

inferred← citeshttps://doi.org/10.1007/s00034-024-02970-1openalex-snapshot

A Multi-scale Single Ultra-High-Definition Image Dehazing Method Based on Multi-resolution Feature Fusion

inferred← citeshttps://doi.org/10.1007/s00034-025-03450-wopenalex-snapshot

DA-MoE: A Domain-Adaptive Mixture of Experts Framework with Reinforcement-Aware Optimization for Multi-Domain Image Dehazing and Object Recognition

inferred← citeshttps://doi.org/10.1007/s00383-023-05609-5openalex-snapshot

DraiNet: AI-driven decision support in pneumothorax and pleural effusion management

inferred← citeshttps://doi.org/10.1007/s00521-026-12345-zopenalex-snapshot

TDE-RYOLO: haze environment in traffic density estimation using deep learning-based REP-YOLOV9 network

inferred← citeshttps://doi.org/10.1007/s11760-025-03868-4openalex-snapshot

Improved YOLOv7 algorithm incorporating InceptionNeXt and attention mechanism for vehicle detection under adverse lighting conditions

inferred← citeshttps://doi.org/10.1007/s11760-025-04008-8openalex-snapshot

Deep-APT: deep learning based efficient accident prevention technique in fogged environment

inferred← citeshttps://doi.org/10.1007/s11760-025-04943-6openalex-snapshot

U-Net- and YOLOv8-based pipeline for license plate recognition in adverse weather

inferred← citeshttps://doi.org/10.1007/s11760-026-05410-6openalex-snapshot

Robust baseline evaluation of scalable YOLO architectures for PPE compliance monitoring: a foundational study for lightweight DNN development in the food industry

inferred← citeshttps://doi.org/10.1007/s11760-026-05703-wopenalex-snapshot

Lightweight identification and positioning technology for marigold corolla

inferred← citeshttps://doi.org/10.1007/s40747-026-02308-1openalex-snapshot

A lightweight adaptive feature-domain defogging dynamic convolutional network for object detection in foggy conditions

inferred← citeshttps://doi.org/10.1007/s42979-025-03980-9openalex-snapshot

Towards Safer Roads: A Comprehensive Review of Object Detection Techniques for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1016/j.aej.2025.04.047openalex-snapshot

Low-light object detection via adaptive enhancement and dynamic feature fusion

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A visual detection algorithm for autonomous driving road environment perception

inferred← citeshttps://doi.org/10.1016/j.imavis.2026.105958openalex-snapshot

HBMF-YOLO: Target detection in harsh environments based on a hybrid backbone network and multi-feature fusion

inferred← citeshttps://doi.org/10.1016/j.isatra.2023.09.001openalex-snapshot

ISA: Ingenious Siamese Attention for object detection algorithms towards complex scenes

inferred← citeshttps://doi.org/10.1016/j.jvcir.2023.103976openalex-snapshot

Development and performance evaluation of enhanced image dehazing method using deep learning networks

inferred← citeshttps://doi.org/10.1016/j.jvcir.2023.104010openalex-snapshot

LL-WSOD: Weakly supervised object detection in low-light

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130775openalex-snapshot

A progressive sampling method for object detection performance surface based on Gaussian process multi-kernel fusion

inferred← citeshttps://doi.org/10.1016/j.neunet.2023.11.041openalex-snapshot

Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2026.124893openalex-snapshot

FoggySea: Bridging synthetic realism and low-contrast robustness for maritime object detection

inferred← citeshttps://doi.org/10.1016/j.optlastec.2026.114981openalex-snapshot

Enhancing the target recognition rate of orbital angular momentum spectra under cloud and fog conditions via an intensity-phase correction network

inferred← citeshttps://doi.org/10.1016/j.patrec.2025.10.018openalex-snapshot

MTW-DETR: A multi-task collaborative optimization model for adverse weather object detection

inferred← citeshttps://doi.org/10.1016/j.patrec.2026.02.034openalex-snapshot

Spatial-aware adaptive fusion for robust object detection in adverse environments

inferred← citeshttps://doi.org/10.1016/j.robot.2025.105074openalex-snapshot

Analysis of vision-based Air-to-Air UAV detection using YOLO based architectures

inferred← citeshttps://doi.org/10.1021/acsagscitech.4c00220openalex-snapshot

Detection and Identification of Honey Pollens by YOLOv7: A Novel Framework toward Honey Authenticity

inferred← citeshttps://doi.org/10.1038/s41598-024-54428-8openalex-snapshot

A novel low light object detection method based on the YOLOv5 fusion feature enhancement

inferred← citeshttps://doi.org/10.1038/s41598-024-80265-wopenalex-snapshot

A low illumination target detection method based on a dynamic gradient gain allocation strategy

inferred← citeshttps://doi.org/10.1049/ccs2.12114openalex-snapshot

Advancing low‐light object detection with you only look once models: An empirical study and performance evaluation

inferred← citeshttps://doi.org/10.1080/10589759.2023.2274011openalex-snapshot

End-to-end adaptive object detection with learnable Retinex for low-light city environment

inferred← citeshttps://doi.org/10.1088/1361-6501/ad5a30openalex-snapshot

BS-YOLOV8: an intelligent detection model for bearing pin support-piece states of high-rise building machine

inferred← citeshttps://doi.org/10.1088/1742-6596/3055/1/012006openalex-snapshot

Enhancing Visual Quality and Object Detection (EVQOD): A Unified Framework for Low-Light Enhancement and Object Detection via Attention-Guided Multi-Scale Refinement

inferred← citeshttps://doi.org/10.1088/2631-8695/ae2834openalex-snapshot

Research on a lightweight method for tea bud detection in foggy environments based on the improved YOLOv8m algorithm

inferred← citeshttps://doi.org/10.1109/access.2023.3344666openalex-snapshot

Research on Real-Time Detection Algorithm for Pedestrian and Vehicle in Foggy Weather Based on Lightweight XM-YOLOViT

inferred← citeshttps://doi.org/10.1109/access.2025.3535151openalex-snapshot

Aggregated Time Series Features in a Voxel-Based Network Architecture

inferred← citeshttps://doi.org/10.1109/access.2025.3596300openalex-snapshot

LARNet-SAP-YOLOv11: A Joint Model for Image Restoration and Corrosion Defect Detection of Transmission Line Fittings Under Multiple Adverse Weather Conditions

inferred← citeshttps://doi.org/10.1109/c-code67372.2025.11204143openalex-snapshot

A Deep Learning Based Real-Time Vehicle Detection and Collision Avoidance System for Low-Visibility Foggy Environment

inferred← citeshttps://doi.org/10.1109/cac59555.2023.10452109openalex-snapshot

Multi-Spectral Pedestrian Detection Guided by Feature Consistency

inferred← citeshttps://doi.org/10.1109/confluence60223.2024.10463252openalex-snapshot

An Analysis of Object Detection in Bad Weather Conditions using Deep Learning Models

inferred← citeshttps://doi.org/10.1109/cvaa66438.2025.11193302openalex-snapshot

NP-YOLO: A Nighttime Pedestrian Detection Model for Video Surveillance

inferred← citeshttps://doi.org/10.1109/eit64391.2025.11103626openalex-snapshot

Performance Evaluation of YOLOv7 for Object Detection in Dark Environments

inferred← citeshttps://doi.org/10.1109/icaice63571.2024.10863845openalex-snapshot

Road Object Detection Algorithm Based on Improved YOLOv8n Model

inferred← citeshttps://doi.org/10.1109/icca62237.2024.10928072openalex-snapshot

Beyond RGB: Channel Fusion for Improved Cross-Domain Car Detection

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Efficient Real-time Breed Classification using YOLOv7 Object Detection Algorithm

inferred← citeshttps://doi.org/10.1109/iccvit67848.2025.11391439openalex-snapshot

Research on Histopathological Image Identification of Intestinal Cancer Based on Deep Learning

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Fourier Domain Adaptation for Traffic Light Detection in Adverse Weather*

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Enhancing Object Detection in Low-Light Conditions using Synthetic Data Augmentation

inferred← citeshttps://doi.org/10.1109/icec2nt65402.2025.11379956openalex-snapshot

An Explainable YOLOv11-Based Object Detection Framework for Heavy-Duty Vehicles in Low-Light Conditions

inferred← citeshttps://doi.org/10.1109/icici62254.2024.00049openalex-snapshot

YOLO based Object Detection Techniques for Autonomous Driving

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Optimisation Strategies for End-To-End Transformer Model for Target Detection in Low Light Environments

inferred← citeshttps://doi.org/10.1109/icivc66358.2025.11200308openalex-snapshot

Vehicle Detection Under Complex Weather Conditions Based on an Adaptive Model

inferred← citeshttps://doi.org/10.1109/icoei56765.2023.10125892openalex-snapshot

Identification of Coal Gangue in Coal using YOLO V7

inferred← citeshttps://doi.org/10.1109/iconnic59854.2023.10467859openalex-snapshot

The Darknet Framework YOLOV7 is Used for Pineapple Fruit Ripeness Classification

inferred← citeshttps://doi.org/10.1109/icosst64562.2024.10871153openalex-snapshot

Improving YOLO Performance on Low Light Images using Synthetic Data Generation

inferred← citeshttps://doi.org/10.1109/icsidp62679.2024.10869173openalex-snapshot

IAT-YOLO: A black pig detection model for use in low-light environments

inferred← citeshttps://doi.org/10.1109/idciot59759.2024.10467669openalex-snapshot

Advancements and Challenges in Low-Light Object Detection

inferred← citeshttps://doi.org/10.1109/iscait64916.2025.11010543openalex-snapshot

Enhanced UAV Detection in Foggy Environments: Integrating Receptive Field Attention and Global Context in YOLOv8

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CL-MFTD: Enhanced Feature Representation with Contrastive Learning and Multiscale Filter for Tumor Detection

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GMS-YOLO: A Lightweight Real-Time Object Detection Algorithm for Pedestrians and Vehicles Under Foggy Conditions

inferred← citeshttps://doi.org/10.1109/reacs67479.2025.11412969openalex-snapshot

A Hybrid Deep Learning Model for Image Dehazing and Object Detection to Enhance Autonomous Vehicle Navigation

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An Efficient YOLOv8-Based Framework for Traffic Sign Detection Under Adverse Weather Conditions

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TTSDA-YOLO: A Two Training Stage Domain Adaptation Framework for Object Detection in Adverse Weather

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See Degraded Objects: A Physics-Guided Approach for Object Detection in Adverse Environments

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NDELS: A Novel Approach for Nighttime Dehazing, Low-Light Enhancement, and Light Suppression

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RAISE: Optimizing RIS Placement to Maximize Task Throughput in Multi-Server Vehicular Edge Computing

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A military reconnaissance network for small‐scale open‐scene camouflaged people detection

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DCP-YOLOv7: dark channel prior image-dehazing YOLOv7 for vehicle detection in foggy scene

inferred← citeshttps://doi.org/10.1117/12.3014468openalex-snapshot

Multitarget detection of assembly parts based on improved YOLOv7

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Leveraging Two-Stage Transfer Learning with YOLOv7 and CNN-Based LLI Enhancement for Trike Detection

inferred← citeshttps://doi.org/10.1145/3727648.3727798openalex-snapshot

LSIDA-YOLOV7: An Optimized YOLOv7 Based on Local Sensitive Information Data Augmentation for Sewer Pipeline Defect Detection

inferred← citeshttps://doi.org/10.1364/ao.555392openalex-snapshot

Infrared image and circular polarization image processing methods for high-concentration scattering environments

inferred← citeshttps://doi.org/10.1364/ao.566416openalex-snapshot

PRAFNet: a polarization–RGB adaptive fusion network for object detection in complex environments

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Enhancing Sustainability in Smart Cities: IoT-Enabled with Fog and Haze Mitigation Using EDN-GTM Technology

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Enhancing Object Recognition in Hazy Scenes with Boundary-Constrained Dehazing and YOLOv7 Architecture

inferred← citeshttps://doi.org/10.2139/ssrn.4907884openalex-snapshot

Real-Time Scene Understanding for Challenging Weather Conditions

inferred← citeshttps://doi.org/10.2174/0123520965275894231130114411openalex-snapshot

Current Research and Future Directions in Image Restoration Technology: An Emerging Field

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Sistem Pencegahan Illegal Fishing di Laut Batam menggunakan YOLOv7 berbasis Notifikasi Telegram

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A Comparative Study of YOLOv8 and YOLO - NAS Performance in Human Detection Image

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Enhanced mask-region-based segmentation with parallel CNN for object detection in traffic scenarios

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DCP-YOLOv7x: improved pest detection method for low-quality cotton image

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Revolutionizing Small-Scale Retail: Introducing an Intelligent IoT-based Scale for Efficient Fruits and Vegetables Shops

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Synthetic Data-Driven Real-Time Detection Transformer Object Detection in Raining Weather Conditions

inferred← citeshttps://doi.org/10.3390/app16168059openalex-snapshot

Fog-YOLO11n: A Lightweight Traffic Object Detection Framework for Autonomous Driving Under Foggy Conditions

inferred← citeshttps://doi.org/10.3390/automation7010003openalex-snapshot

Hazy Aware-YOLO: An Enhanced UAV Object Detection Model for Foggy Weather via Wavelet Convolution and Attention-Based Optimization

inferred← citeshttps://doi.org/10.3390/electronics12143089openalex-snapshot

Research on Improved YOLOv5 for Low-Light Environment Object Detection

inferred← citeshttps://doi.org/10.3390/electronics13030652openalex-snapshot

Target Tracking Algorithm Based on Adaptive Strong Tracking Extended Kalman Filter

inferred← citeshttps://doi.org/10.3390/electronics13173527openalex-snapshot

Research on Low-Light Environment Object Detection Algorithm Based on YOLO_GD

inferred← citeshttps://doi.org/10.3390/f14071453openalex-snapshot

A Trunk Detection Method for Camellia oleifera Fruit Harvesting Robot Based on Improved YOLOv7

inferred← citeshttps://doi.org/10.3390/info17090894openalex-snapshot

RiDW-YOLO: A Low-Light Traffic Sign Detection Algorithm Integrating Illumination Enhancement

inferred← citeshttps://doi.org/10.3390/rs15184617openalex-snapshot

Multi-Task Learning for UAV Aerial Object Detection in Foggy Weather Condition

inferred← citeshttps://doi.org/10.3390/rs17050905openalex-snapshot

Improved Low-Light Image Feature Matching Algorithm Based on the SuperGlue Net Model

inferred← citeshttps://doi.org/10.3390/rs18010169openalex-snapshot

Robust Object Detection for UAVs in Foggy Environments with Spatial-Edge Fusion and Dynamic Task Alignment

inferred← citeshttps://doi.org/10.3390/s23208380openalex-snapshot

A New Efficient Multi-Object Detection and Size Calculation for Blended Tobacco Shreds Using an Improved YOLOv7 Network and LWC Algorithm

inferred← citeshttps://doi.org/10.3390/s24103180openalex-snapshot

Optimized Design of EdgeBoard Intelligent Vehicle Based on PP-YOLOE+

inferred← citeshttps://doi.org/10.3390/s24134359openalex-snapshot

A Comprehensive Study of Object Tracking in Low-Light Environments

inferred← citeshttps://doi.org/10.3390/s24144692openalex-snapshot

Improved DeepSORT-Based Object Tracking in Foggy Weather for AVs Using Sematic Labels and Fused Appearance Feature Network

inferred← citeshttps://doi.org/10.3390/s24196330openalex-snapshot

Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather

inferred← citeshttps://doi.org/10.3390/s25061778openalex-snapshot

HPRT-DETR: A High-Precision Real-Time Object Detection Algorithm for Intelligent Driving Vehicles

inferred← citeshttps://doi.org/10.3390/s25154755openalex-snapshot

Evaluating Image Quality Metrics as Loss Functions for Image Dehazing

inferred← citeshttps://doi.org/10.3390/s25165014openalex-snapshot

A Lightweight Multi-Stage Visual Detection Approach for Complex Traffic Scenes

inferred← citeshttps://doi.org/10.3390/su151310032openalex-snapshot

Research on a Driving Assistance System for Lane Changes on Foggy Highways

inferred← citeshttps://doi.org/10.3390/vehicles8070143openalex-snapshot

YOLO-GCM: A Lightweight Detector-Side Feature Enhancement Framework for Foggy Traffic Object Detection

inferred← citeshttps://doi.org/10.4018/979-8-3693-9405-2.ch013openalex-snapshot

Real-World Security Applications Through Computer Vision

inferred← citeshttps://doi.org/10.46604/peti.2026.16020openalex-snapshot

Motorcycle Parking Violation Detection Using YOLOv12 Segmentation and ROI-Guided Orientation Analysis

inferred← citeshttps://doi.org/10.7717/peerj-cs.2799openalex-snapshot

Two-stage object detection in low-light environments using deep learning image enhancement

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