Vehicle Speed Estimation on BrnoCompSpeed

8개 결과 · ⬇ CSV · JSON

Mean Speed Measurement Error (km/h) 낮을수록 좋음

Rank	Model	Mean Speed Measurement Error (km/h)	Median Speed Measurement Error (km/h)	95-th Percentile Speed Measurement Error (km/h)	99-th Percentile Speed Measurement Error (km/h)	Paper	Code	Year
1	Transform3D	0.75	0.58	1.84	–	Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement	kocurvik/retinanet_traffic_3D · kocurvik/BCS_results · gajdosech2/vehicle-speed-estimation-yolov6-3d	2020
2	Transform2D	0.83	0.60	2.04	–	Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance	kocurvik/CVWW2019_results	2019
3	Transform3D	0.86	0.65	2.17	–	Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance	kocurvik/CVWW2019_results	2019
4	Edgelets + BBScale + reg	1.10	0.97	–	3.05	Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement		2017
5	Transform3D	0.75	0.58	1.84	–	Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement	kocurvik/retinanet_traffic_3D · kocurvik/BCS_results · gajdosech2/vehicle-speed-estimation-yolov6-3d	2020
6	Transform2D	0.83	0.60	2.04	–	Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance	kocurvik/CVWW2019_results	2019
7	Transform3D	0.86	0.65	2.17	–	Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance	kocurvik/CVWW2019_results	2019
8	Edgelets + BBScale + reg	1.10	0.97	–	3.05	Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement		2017