SOTAVerified

vehicle detection

Papers

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Showing 101–150 of 249 papers

TitleStatusHype
Look at the Driver, Look at the Road: No Distraction! No Accident!—0
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery—0
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications—0
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion—0
Mel-spectrogram features for acoustic vehicle detection and speed estimation—0
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors—0
Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks—0
Moving Vehicle Detection Using AdaBoost and Haar-Like Feature in Surveillance Videos—0
MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles—0
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos—0
Multi-strategy Collaborative Optimized YOLOv5s and its Application in Distance Estimation—0
Non-anchor-based vehicle detection for traffic surveillance using bounding ellipses—0
On Learning Vehicle Detection in Satellite Video—0
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving—0
Optimizing ROI Benefits Vehicle ReID in ITS—0
Parking Analytics Framework using Deep Learning—0
Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation—0
PatrolVision: Automated License Plate Recognition in the wild—0
Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics—0
Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning—0
Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning—0
Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh—0
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement—0
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors—0
Polygon Intersection-over-Union Loss for Viewpoint-Agnostic Monocular 3D Vehicle Detection—0
Potential destination discovery for low predictability individuals based on knowledge graph—0
Probabilistic Oriented Object Detection in Automotive Radar—0
Provident Vehicle Detection at Night for Advanced Driver Assistance Systems—0
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds—0
PVSS: A Progressive Vehicle Search System for Video Surveillance Networks—0
R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos—0
Real-time object detection and tracking using flash LiDAR imagery—0
Real-Time Pose Estimation Piggybacked on Object Detection—0
Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices—0
Reliable Traffic Monitoring Using Low-Cost Doppler Radar Units—0
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks—0
Research on vehicle detection based on improved YOLOv8 network—0
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes—0
Revolutionizing Traffic Management with AI-Powered Machine Vision: A Step Toward Smart Cities—0
Robust and Fast Vehicle Detection using Augmented Confidence Map—0
Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning—0
Scalable and Real-time Multi-Camera Vehicle Detection, Re-Identification, and Tracking—0
Scale Optimization for Full-Image-CNN Vehicle Detection—0
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud—0
Self-Supervised Learning for Real-World Object Detection: a Survey—0
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