State Estimation on UIP-DB benchmark leaderboard · SOTA2 Research

State Estimation on UIP-DB

4.15Acceleration RMSEFW-NKF

Evaluation Results

Method	Links
FW-NKF2026.06		4.15	12.78	0.4	1.34	6.45
FW-NKF2026.06		4.37	13.46	0.42	1.41	6.8
FW-NKF2026.06		4.73	14.57	0.45	1.53	7.35
Recursive KNet2026.06		5.18	15.95	0.49	1.67	8.04
Recursive KNet2026.06		5.46	16.82	0.52	1.76	8.48
FW-NKF2026.06		5.9	18.18	0.56	1.9	9.16
Recursive KNet2026.06		5.9	18.18	0.56	1.9	9.16
BayesKNet2026.06		5.95	18.33	0.57	1.92	9.24
BayesKNet2026.06		6.28	19.33	0.6	2.02	9.75
BayesKNet2026.06		6.78	20.89	0.65	2.19	10.53
Kalman Net2026.06		6.83	21.05	0.65	2.2	10.6
Kalman Net2026.06		7.21	22.2	0.69	2.32	11.2
Kalman Net2026.06		7.79	24	0.74	2.51	12.1
Classical KF2026.06		8.58	26.43	0.82	2.77	13.31
Classical KF2026.06		9.05	27.89	0.86	2.92	14.06
Recurrent KNet2026.06		9.53	29.36	0.91	3.07	14.81
Classical KF2026.06		9.78	30.14	0.93	3.15	15.2
Recurrent KNet2026.06		10.06	31	0.96	3.24	15.64
Autoreg KF2026.06		10.1	31.12	0.96	3.26	15.69
Autoreg KF2026.06		10.66	32.85	1.02	3.44	16.57
Recurrent KNet2026.06		10.87	33.49	1.04	3.51	16.89
Autoreg KF2026.06		11.52	35.51	1.1	3.72	17.91