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Vehicle Speed Estimation
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Vehicle speed estimation is the task of detecting and tracking vehicles whose real-world speeds are then estimated. The task is usually evaluated with recall and precision of the detected vehicle tracks as well as the mean or median errors of the estimated vehicle speeds.
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Estimating Vehicle Speed on Roadways Using RNNs and Transformers: A Video-based Approach
Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework
Vehicle Speed Detection System Utilizing YOLOv8: Enhancing Road Safety and Traffic Management for Metropolitan Areas
FARSEC: A Reproducible Framework for Automatic Real-Time Vehicle Speed Estimation Using Traffic Cameras
Ego Vehicle Speed Estimation using 3D Convolution with Masked Attention
A dataset for audio-video based vehicle speed estimation
Towards view-invariant vehicle speed detection from driving simulator images
Mel-spectrogram features for acoustic vehicle detection and speed estimation
An approach to improving sound-based vehicle speed estimation
Vision-based Vehicle Speed Estimation: A Survey
Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement
Engine and Aftertreatment Co-Optimization of Connected HEVs via Multi-Range Vehicle Speed Planning and Prediction
Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information
Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance
Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.