Vehicle Speed Estimation
4 papers with code • 1 benchmarks • 1 datasets
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.
Benchmarks
These leaderboards are used to track progress in Vehicle Speed Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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BrnoCompSpeed
Most implemented papers
Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement
kocurvik/retinanet_traffic_3D
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We present an improved version of our algorithm for detection of 3D bounding boxes of vehicles, their tracking and subsequent speed estimation.
Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance
Detection and tracking of vehicles captured by traffic surveillance cameras is a key component of intelligent traffic systems.
Vehicle Speed Estimation Using Computer Vision And Evolutionary Camera Calibration
hector6298/titulacion_vehice_speed_estimation
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NeurIPS Workshop LatinX_in_AI 2021
Finally, the results show that the proposed homography method reduces the projection error from world to image point by 97\%, when compared to the other two methods, and the complete workflow can successfully estimate speed distributions expected from vehicles on urban traffic and handle dynamic changes in vehicle speed.
FARSEC: A Reproducible Framework for Automatic Real-Time Vehicle Speed Estimation Using Traffic Cameras
porscheofficial/speed-estimation-traffic-monitoring
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To address this, we provide a novel framework for automatic real-time vehicle speed calculation, which copes with more diverse data from publicly available traffic cameras to achieve greater robustness.
