Table 6 The experimental results were compared with each model.

From: Object detection model of vehicle-road cooperative autonomous driving based on improved YOLO11 algorithm

Model

Precision%

Recall%

mAP@0.5%

mAP@0.5–95%

FPS

GFLOPs

Params

YOLOv5n

82.3

75.2

83

59.4

173.2

6.0

2.21 M

YOLOv8n

83.2

75.8

83.5

59.8

176.8

7.0

2.71 M

YOLO11n(base)

82.4

77.0

83.3

59.6

172.4

6.5

2.61 M

Mamba-YOLO-B34

85.6

79.1

85.2

61.1

118

49.6

21.79 M

RT-DETR-r18

85.5

78.9

85.1

59.9

101

57.0

19.88 M

YOLOX-Tiny35

83.1

77.2

84.4

58.8

133.2

7.5

5.03 M

D-Fine-N36

82.4

76.8

82.1

57.2

146.7

7.1

3.73 M

D-Fine-S

83.5

77.1

84.2

59.3

134.5

24.8

10.18 M

YOLO12n

82.5

76.7

83.2

59.3

168.4

6.3

2.56 M

YOLO13n

82.7

76.9

83.0

59.1

169.3

6.2G

2.45 M

DEIM-D-Fine-N37

83.4

76.3

81.8

56.8

155.3

7.2

3.69 M

FBRT-YOLO-S38

84.8

78.7

84.3

60.6

142.6

22.9G

2.9 M

Ours

85.7

79.4

85.3

61.3

167.5

7.6

2.51 M