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vehicle detection

Papers

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Showing 1–50 of 249 papers

TitleStatusHype
Fiber Signal Denoising Algorithm using Hybrid Deep Learning Networks—0
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving—0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles—0
Efficient Vision-based Vehicle Speed Estimation—0
PatrolVision: Automated License Plate Recognition in the wild—0
Reliable Traffic Monitoring Using Low-Cost Doppler Radar Units—0
Event-Based Crossing Dataset (EBCD)Code0
TriLiteNet: Lightweight Model for Multi-Task Visual PerceptionCode1
RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and IdentificationCode3
Revolutionizing Traffic Management with AI-Powered Machine Vision: A Step Toward Smart Cities—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing—0
An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras—0
DRiVE: Dynamic Recognition in VEhicles using snnTorch—0
SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios—0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
Automatic Labelling & Semantic Segmentation with 4D Radar TensorsCode1
Combining YOLO and Visual Rhythm for Vehicle CountingCode0
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions—0
Research on vehicle detection based on improved YOLOv8 network—0
SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite VideosCode0
Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation—0
Texture- and Shape-based Adversarial Attacks for Vehicle Detection in Synthetic Overhead Imagery—0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset—0
Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning—0
Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11—0
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imageryCode1
YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems—0
Joint Audio-Visual Idling Vehicle Detection with Streamlined Input Dependencies—0
Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring—0
Self-Supervised Learning for Real-World Object Detection: a Survey—0
Deep Learning Enhanced Road Traffic Analysis: Scalable Vehicle Detection and Velocity Estimation Using PlanetScope Imagery—0
Finetuning YOLOv9 for Vehicle Detection: Deep Learning for Intelligent Transportation Systems in Dhaka, Bangladesh—0
VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation ModelsCode1
Comparing YOLOv5 Variants for Vehicle Detection: A Performance Analysis—0
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
Toward Efficient Convolutional Neural Networks With Structured Ternary PatternsCode0
Optimizing ROI Benefits Vehicle ReID in ITS—0
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection—0
Real-time object detection and tracking using flash LiDAR imagery—0
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology—0
Traffic control using intelligent timing of traffic lights with reinforcement learning technique and real-time processing of surveillance camera images—0
Bangladeshi Native Vehicle Detection in WildCode0
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingCode1
Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale EventsCode0
Vehicle Detection Performance in Nordic Region—0
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across EnvironmentsCode1
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors—0
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