SOTAVerified

vehicle detection

Papers

Showing 101–125 of 249 papers

TitleStatusHype
Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at NightCode0
Scalable and Real-time Multi-Camera Vehicle Detection, Re-Identification, and Tracking—0
Deep Vehicle Detection in Satellite Video—0
An approach to improving sound-based vehicle speed estimation—0
Mel-spectrogram features for acoustic vehicle detection and speed estimation—0
CenterLoc3D: Monocular 3D Vehicle Localization Network for Roadside Surveillance Cameras—0
Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks—0
Parking Analytics Framework using Deep Learning—0
Dense Voxel Fusion for 3D Object Detection—0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
Ensemble Learning techniques for object detection in high-resolution satellite images—0
Fast-Spherical-Projection-Based Point Cloud Clustering Algorithm—0
Potential destination discovery for low predictability individuals based on knowledge graph—0
Self-Supervised Moving Vehicle Detection from Audio-Visual Cues—0
Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural NetworksCode1
Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background SubtractionCode1
Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection—0
T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks—0
Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning—0
Towards Live Video Analytics with On-Drone Deeper-yet-Compatible Compression—0
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density EstimationCode1
Comparison of Object Detection Algorithms Using Video and Thermal Images Collected from a UAS Platform: An Application of Drones in Traffic Management—0
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes—0
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous DrivingCode1
Provident Vehicle Detection at Night for Advanced Driver Assistance Systems—0
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