Autonomous Driving on Argoverse CVPR 2020

Metric: minADE (K=1) (higher is better)

LeaderboardDataset

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Results

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#	Model↕	minADE (K=1)▼	Extra Data	Paper	Date↕	Code
1	ewta	10634487.5868	No	-	-	-
2	jwlhs104	38.9455	No	-	-	-
3	Johnny Hsieh	32.9034	No	-	-	-
4	WST	30.7524	No	-	-	-
5	cxl	22.3728	No	-	-	-
6	BaseballBro	17.0122	No	-	-	-
7	tusiji12138	14.9928	No	-	-	-
8	Constant velocity map prior	12.3146	No	-	-	-
9	Lane_vae	11.3861	No	-	-	-
10	mtz	7.4994	No	-	-	-
11	DQS	7.1746	No	-	-	-
12	D0.2	5.8841	No	-	-	-
13	xjtub09	5.7132	No	-	-	-
14	wangwentong	5.5699	No	-	-	-
15	CoderTeam	4.9745	No	-	-	-
16	AttnLstmMultiMod_fix	4.7665	No	-	-	-
17	Whatever	4.7286	No	-	-	-
18	suu	4.6564	No	-	-	-
19	rishabh	4.4824	No	-	-	-
20	GRU_CVAE	4.4349	No	-	-	-
21	Online_CL	3.9771	No	-	-	-
22	BD	3.9521	No	-	-	-
23	ffffx	3.9358	No	-	-	-
24	SHM	3.7408	No	-	-	-
25	Gilgamesh	3.6495	No	-	-	-
26	NCTU-BNN	3.6495	No	-	-	-
27	yellowtaxi	3.5646	No	-	-	-
28	zlewe	3.5333	No	-	-	-
29	NCTU_309512033	3.5333	No	-	-	-
30	null	3.5333	No	-	-	-
31	baseline_argo_contant_vel_01	3.5333	No	-	-	-
32	test_1	3.5333	No	-	-	-
33	mmmddd	3.5333	No	-	-	-
34	HYU_ACE	3.467	No	-	-	-
35	NCTU-heheEECS	3.4549	No	-	-	-
36	NN(map)	3.4549	No	-	-	-
37	NN	3.4549	No	-	-	-
38	hell	3.4549	No	-	-	-
39	Ruochen	3.4152	No	-	-	-
40	Speculators	3.3858	No	-	-	-
41	RuSheng	3.3726	No	-	-	-
42	randommm	3.3098	No	-	-	-
43	Tim	3.3035	No	-	-	-
44	Trial	3.2553	No	-	-	-
45	vectornet	3.1088	No	-	-	-
46	xjh199923	3.0551	No	-	-	-
47	hale	3.0338	No	-	-	-
48	Model Agnostic Meta Learning	3.0107	No	-	-	-
49	rush	3.0009	No	-	-	-
50	zs	2.9871	No	-	-	-
51	Aaron Huang	2.9838	No	-	-	-
52	HH	2.9719	No	-	-	-
53	Funtastic_4casting	2.9631	No	-	-	-
54	Constant-V-Forecating(very very naive)	2.9631	No	-	-	-
55	DeepPrediction	2.9631	No	-	-	-
56	lllsssjQuery33108037804872914465_1678097593292	2.9631	No	-	-	-
57	MT-PNC	2.9631	No	-	-	-
58	naive method test	2.9631	No	-	-	-
59	default	2.9631	No	-	-	-
60	efficent and adaptive	2.9631	No	-	-	-
61	Anonymous1234	2.9576	No	-	-	-
62	gogogo_zhigang	2.9498	No	-	-	-
63	Alice_Bob	2.9337	No	-	-	-
64	Holmes	2.9076	No	-	-	-
65	llh	2.9029	No	-	-	-
66	posterior with best parameters	2.8257	No	-	-	-
67	TangBug	2.8104	No	-	-	-
68	6 mode model	2.797	No	-	-	-
69	Vi yulia 51 prob	2.7949	No	-	-	-
70	huhu	2.771	No	-	-	-
71	parallel_tl_123_0224	2.7484	No	-	-	-
72	haomo	2.7385	No	-	-	-
73	pph	2.7291	No	-	-	-
74	zys	2.7271	No	-	-	-
75	xmy	2.7262	No	-	-	-
76	lixin	2.6885	No	-	-	-
77	lstm+cnn	2.6883	No	-	-	-
78	bartosz	2.6784	No	-	-	-
79	Map Static+Specific	2.6392	No	-	-	-
80	Waldo	2.6003	No	-	-	-
81	0626	2.5911	No	-	-	-
82	multimodal	2.5904	No	-	-	-
83	fs_test	2.5888	No	-	-	-
84	deleted_accout_because_of_submission_error	2.5448	No	-	-	-
85	baguette	2.5344	No	-	-	-
86	gg6666	2.5329	No	-	-	-
87	DGA_lg	2.4627	No	-	-	-
88	adl	2.4611	No	-	-	-
89	slf	2.4611	No	-	-	-
90	team_moe	2.4228	No	-	-	-
91	que_anr	2.418	No	-	-	-
92	BNet-2S	2.4032	No	-	-	-
93	lanegcn_pimp_curr_sgd	2.3896	No	-	-	-
94	Multiple Trajectories	2.3865	No	-	-	-
95	haomokeji	2.3805	No	-	-	-
96	Anchor	2.3379	No	-	-	-
97	mt_navi	2.3148	No	-	-	-
98	fs	2.3053	No	-	-	-
99	grip	2.2923	No	-	-	-
100	arky	2.2842	No	-	-	-
101	LSTMs	2.2831	No	-	-	-
102	Tang Luqi	2.2719	No	-	-	-
103	DF-RNN	2.2709	No	-	-	-
104	msms	2.2558	No	-	-	-
105	Fong	2.232	No	-	-	-
106	NCTU-GPL-GPAL	2.2283	No	-	-	-
107	par	2.2181	No	-	-	-
108	miaomiao	2.1962	No	-	-	-
109	JMT	2.1902	No	-	-	-
110	GoodMountain	2.1875	No	-	-	-
111	Habitat-Web	2.174	No	-	-	-
112	TNT - CoRL20	2.174	No	TNT: Target-driveN Trajectory Prediction	2020-08-19	Code
113	El Camino	2.1728	No	-	-	-
114	Challenge	2.1686	No	-	-	-
115	TestForecast	2.1461	No	-	-	-
116	Xiaogang	2.1416	No	-	-	-
117	timtim	2.1057	No	-	-	-
118	huangmozhi	2.0987	No	-	-	-
119	Parallel x-transformers version1.1	2.0558	No	-	-	-
120	raster-to-svg-train(t70.5k-train120k)1e-4-2-bs5-39k	2.0489	No	-	-	-
121	TNT_20220819	2.0414	No	-	-	-
122	huangmozhi9527	2.0401	No	-	-	-
123	CMAN(av1_demo)	2.0363	No	-	-	-
124	cls-token-transfer208k	2.0031	No	-	-	-
125	TrajectoryOracle	2.0029	No	-	-	-
126	SCP	1.9953	No	-	-	-
127	zhanzhenxueyuan	1.986	No	-	-	-
128	Alibaba-ADLab	1.9673	No	-	-	-
129	lagat_mm	1.9536	No	-	-	-
130	Extended-Social-LSTM	1.9424	No	-	-	-
131	Social-CVAE	1.9276	No	-	-	-
132	Array	1.9152	No	-	-	-
133	raster_v2	1.9123	No	-	-	-
134	lstm	1.9108	No	-	-	-
135	PRIME	1.9105	No	-	-	-
136	ln	1.9103	No	-	-	-
137	uulm-mrm	1.9044	No	-	-	-
138	SCP	1.9016	No	-	-	-
139	player	1.8988	No	-	-	-
140	somemethod	1.89	No	-	-	-
141	leige	1.8785	No	-	-	-
142	tnt-mtp_100s_targetloss_1-1_6	1.8768	No	-	-	-
143	HGO (K=6)	1.8763	No	-	-	-
144	tjxu	1.8705	No	-	-	-
145	tmtkinu	1.8684	No	-	-	-
146	idlaber-Hans	1.8637	No	-	-	-
147	UAR	1.8599	No	-	-	-
148	argo_test_18_5m_add_rotation_change_data_change_model_3_01	1.8594	No	-	-	-
149	vector-net-latest	1.8525	No	-	-	-
150	FGNet	1.8521	No	-	-	-
151	chant	1.8436	No	-	-	-
152	tp	1.8426	No	-	-	-
153	AutoBot-Ego	1.8397	No	-	-	-
154	HTTP	1.8386	No	-	-	-
155	xjh	1.8335	No	-	-	-
156	MultiLine	1.8312	No	-	-	-
157	phuang	1.8312	No	-	-	-
158	wimp	1.8233	No	-	-	-
159	dis102500	1.8179	No	-	-	-
160	CRAT-Pred	1.8162	No	CRAT-Pred: Vehicle Trajectory Prediction with Cr...	2022-02-09	Code
161	SceneTransformer	1.8108	No	-	-	-
162	wo_longterm	1.8103	No	-	-	-
163	1mode-groupEmbed-160000	1.809	No	-	-	-
164	1mode-groupEmbed-106000	1.8062	No	-	-	-
165	MTN	1.803	No	-	-	-
166	Tang Luqi	1.8014	No	-	-	-
167	pred	1.7995	No	-	-	-
168	ORIGINAL	1.7988	No	-	-	-
169	JAL-MTP	1.7978	No	-	-	-
170	ulimit	1.7902	No	-	-	-
171	MR	1.7874	No	-	-	-
172	Tang Luqi	1.7812	No	-	-	-
173	ISY@TK	1.7762	No	-	-	-
174	mmTransformer	1.7737	No	-	-	-
175	mmppgg	1.7732	No	-	-	-
176	fyyclass	1.7721	No	-	-	-
177	FTGN	1.7716	No	Trajectory Forecasting on Temporal Graphs	2022-07-01	Code
178	numberEight	1.7491	No	-	-	-
179	l_DGA_lg	1.7453	No	-	-	-
180	leon	1.7438	No	-	-	-
181	Jean	1.7414	No	-	-	-
182	Model0	1.7396	No	-	-	-
183	Lotus	1.7368	No	-	-	-
184	sihong	1.7365	No	-	-	-
185	Waypoint	1.735	No	-	-	-
186	cxx	1.7343	No	-	-	-
187	Shangguan_IFS	1.7338	No	-	-	-
188	LaneGCN-s	1.731	No	-	-	-
189	gcu_v2	1.7303	No	-	-	-
190	sample_replace_gt_smalln_82	1.73	No	-	-	-
191	huyuening	1.7288	No	-	-	-
192	PRANK	1.7284	No	PRANK: motion Prediction based on RANKing	2020-10-22	-
193	PRANK	1.7284	No	PRANK: motion Prediction based on RANKing	2020-10-22	-
194	LaneGCN-trainset-36	1.7252	No	-	-	-
195	SCM+Distill(best model)	1.7239	No	-	-	-
196	s1	1.7191	No	-	-	-
197	Transformer1	1.7189	No	-	-	-
198	fyyyy	1.7176	No	-	-	-
199	lanegcn_12_epoch	1.7168	No	-	-	-
200	lengyue	1.7163	No	-	-	-
201	Jack-M	1.715	No	-	-	-
202	William	1.712	No	-	-	-
203	FRM	1.7063	No	Leveraging Future Relationship Reasoning for Veh...	2023-05-24	-
204	vill	1.7061	No	-	-	-
205	LGN	1.706	No	-	-	-
206	Europa	1.7055	No	-	-	-
207	15 train 40e	1.7041	No	-	-	-
208	Miss Rate	1.7029	No	-	-	-
209	YuNi	1.7024	No	-	-	-
210	watson	1.7024	No	-	-	-
211	CY_ng	1.7024	No	-	-	-
212	cbc	1.7024	No	-	-	-
213	julie-1	1.7024	No	-	-	-
214	ywyeh	1.7024	No	-	-	-
215	hitchhiker	1.7024	No	-	-	-
216	alfred	1.7024	No	-	-	-
217	hitljx_test_sub	1.7024	No	-	-	-
218	chailiang	1.7024	No	-	-	-
219	zhousihong	1.7024	No	-	-	-
220	LaneGCN	1.7019	No	-	-	-
221	yiqi-fudan	1.7012	No	-	-	-
222	scale4	1.7001	No	-	-	-
223	abac	1.6997	No	-	-	-
224	HOME + GOHOME	1.6986	No	HOME: Heatmap Output for future Motion Estimation	2021-05-23	Code
225	vilab	1.698	No	-	-	-
226	SenseTime_AP	1.6973	No	-	-	-
227	mymodel7_actornet_2_mapnet_a2m_a2a_222	1.6968	No	-	-	-
228	(VI)	1.6906	No	-	-	-
229	GOHOME	1.6887	No	GOHOME: Graph-Oriented Heatmap Output for future...	2021-09-04	-
230	vi_avp	1.6883	No	-	-	-
231	prediction-liangdian	1.6864	No	-	-	-
232	MFT	1.6856	No	-	-	-
233	LaneRCNN (IROS 2021)	1.6852	No	LaneRCNN: Distributed Representations for Graph-...	2021-01-17	-
234	daiyongjie	1.6837	No	-	-	-
235	minFDE	1.6791	No	-	-	-
236	DSP	1.6788	No	-	-	-
237	88	1.6768	No	-	-	-
238	TPA+Laneloss	1.6737	No	-	-	-
239	damplyv1	1.6737	No	-	-	-
240	ToNet	1.6724	No	-	-	-
241	mm_kk_parallel_distemb_91	1.6702	No	-	-	-
242	THOMAS	1.6686	No	THOMAS: Trajectory Heatmap Output with learned M...	2021-10-13	-
243	just_a_test	1.6666	No	-	-	-
244	Hi_base	1.6602	No	-	-	-
245	cls-weight1-5	1.6588	No	-	-	-
246	brier36	1.6585	No	-	-	-
247	ATDSNet-v2	1.6572	No	-	-	-
248	MacFormer	1.6565	No	TENET: Transformer Encoding Network for Effectiv...	2022-06-30	-
249	FGNet_sub	1.6561	No	-	-	-
250	cul2	1.6557	No	-	-	-
251	MSPre	1.6547	No	-	-	-
252	DIDI	1.6492	No	-	-	-
253	xia	1.6453	No	-	-	-
254	lstm_v1	1.645	No	-	-	-
255	ECARX-V1	1.6427	No	-	-	-
256	cls_weight1.2-decoder5-use-last	1.6405	No	-	-	-
257	decoder-3-last	1.6377	No	-	-	-
258	Wayformer	1.636	No	Wayformer: Motion Forecasting via Simple & Effic...	2022-07-12	Code
259	SSL-Lanes	1.6342	No	SSL-Lanes: Self-Supervised Learning for Motion F...	2022-06-28	Code
260	DTNet(FDE)	1.6338	No	-	-	-
261	ATTTHOM	1.632	No	-	-	-
262	HIKVISION-ADLab-hz	1.6287	No	-	-	-
263	matrix_mugen	1.6266	No	-	-	-
264	vectorgcn	1.6262	No	-	-	-
265	be_s2lossf_3846	1.6244	No	-	-	-
266	whr_test	1.6242	No	-	-	-
267	multipath++	1.6235	No	MultiPath++: Efficient Information Fusion and Tr...	2021-11-29	Code
268	Dcupqiu	1.6225	No	-	-	-
269	CU-aware LaneGCN	1.6217	No	-	-	-
270	LTP	1.6214	No	-	-	-
271	m2a2_34	1.6186	No	-	-	-
272	TO	1.6124	No	-	-	-
273	chl(yiqi)	1.6117	No	-	-	-
274	Met	1.6072	No	-	-	-
275	HiVT-128	1.5984	No	-	-	Code
276	ussm v2-SAIPS	1.5969	No	-	-	-
277	Ameame	1.5959	No	-	-	-
278	GANet	1.5921	No	GANet: Goal Area Network for Motion Forecasting	2022-09-20	Code
279	EuclidNet-L	1.5852	No	-	-	-
280	lt_tv_cont	1.5851	No	-	-	-
281	R-Pred	1.5843	No	R-Pred: Two-Stage Motion Prediction Via Tube-Que...	2022-11-16	-
282	TPCN	1.5752	No	TPCN: Temporal Point Cloud Networks for Motion F...	2021-03-04	-
283	ProIn_av1	1.5737	No	-	-	-
284	Holistic Transformer	1.5692	No	Holistic Transformer: A Joint Neural Network for...	2022-06-17	-
285	Gnet	1.5689	No	-	-	-
286	HiVT++	1.5619	No	-	-	Code
287	PAGA	1.5599	No	-	-	-
288	LAformer	1.5531	No	-	-	-
289	lt_cont_k6	1.5407	No	-	-	-
290	DuanZX	1.5349	No	-	-	-
291	FFINet	1.5327	No	-	-	-
292	QCNet	1.5234	No	-	-	Code
293	VI LaneIter	1.5181	No	-	-	-
294	TSGN	1.5111	No	-	-	-
295	TPCN++	1.5099	No	-	-	-
296	shernan_wu	1.5097	No	-	-	-
297	ProphNet	1.491	No	-	-	-
298	DCMS	1.4768	No	Bootstrap Motion Forecasting With Self-Consisten...	2022-04-12	-
299	SEPT	1.4412	No	-	-	-

#1ewta
10634487.5868
minADE (K=1)
No paper
#2jwlhs104
38.9455
minADE (K=1)
No paper
#3Johnny Hsieh
32.9034
minADE (K=1)
No paper
#4WST
30.7524
minADE (K=1)
No paper
#5cxl
22.3728
minADE (K=1)
No paper
#6BaseballBro
17.0122
minADE (K=1)
No paper
#7tusiji12138
14.9928
minADE (K=1)
No paper
#8Constant velocity map prior
12.3146
minADE (K=1)
No paper
#9Lane_vae
11.3861
minADE (K=1)
No paper
#10mtz
7.4994
minADE (K=1)
No paper
#11DQS
7.1746
minADE (K=1)
No paper
#12D0.2
5.8841
minADE (K=1)
No paper
#13xjtub09
5.7132
minADE (K=1)
No paper
#14wangwentong
5.5699
minADE (K=1)
No paper
#15CoderTeam
4.9745
minADE (K=1)
No paper
#16AttnLstmMultiMod_fix
4.7665
minADE (K=1)
No paper
#17Whatever
4.7286
minADE (K=1)
No paper
#18suu
4.6564
minADE (K=1)
No paper
#19rishabh
4.4824
minADE (K=1)
No paper
#20GRU_CVAE
4.4349
minADE (K=1)
No paper
#21Online_CL
3.9771
minADE (K=1)
No paper
#22BD
3.9521
minADE (K=1)
No paper
#23ffffx
3.9358
minADE (K=1)
No paper
#24SHM
3.7408
minADE (K=1)
No paper
#25Gilgamesh
3.6495
minADE (K=1)
No paper
#26NCTU-BNN
3.6495
minADE (K=1)
No paper
#27yellowtaxi
3.5646
minADE (K=1)
No paper
#28zlewe
3.5333
minADE (K=1)
No paper
#29NCTU_309512033
3.5333
minADE (K=1)
No paper
#30null
3.5333
minADE (K=1)
No paper
#31baseline_argo_contant_vel_01
3.5333
minADE (K=1)
No paper
#32test_1
3.5333
minADE (K=1)
No paper
#33mmmddd
3.5333
minADE (K=1)
No paper
#34HYU_ACE
3.467
minADE (K=1)
No paper
#35NCTU-heheEECS
3.4549
minADE (K=1)
No paper
#36NN(map)
3.4549
minADE (K=1)
No paper
#37NN
3.4549
minADE (K=1)
No paper
#38hell
3.4549
minADE (K=1)
No paper
#39Ruochen
3.4152
minADE (K=1)
No paper
#40Speculators
3.3858
minADE (K=1)
No paper
#41RuSheng
3.3726
minADE (K=1)
No paper
#42randommm
3.3098
minADE (K=1)
No paper
#43Tim
3.3035
minADE (K=1)
No paper
#44Trial
3.2553
minADE (K=1)
No paper
#45vectornet
3.1088
minADE (K=1)
No paper
#46xjh199923
3.0551
minADE (K=1)
No paper
#47hale
3.0338
minADE (K=1)
No paper
#48Model Agnostic Meta Learning
3.0107
minADE (K=1)
No paper
#49rush
3.0009
minADE (K=1)
No paper
#50zs
2.9871
minADE (K=1)
No paper
#51Aaron Huang
2.9838
minADE (K=1)
No paper
#52HH
2.9719
minADE (K=1)
No paper
#53Funtastic_4casting
2.9631
minADE (K=1)
No paper
#54Constant-V-Forecating(very very naive)
2.9631
minADE (K=1)
No paper
#55DeepPrediction
2.9631
minADE (K=1)
No paper
#56lllsssjQuery33108037804872914465_1678097593292
2.9631
minADE (K=1)
No paper
#57MT-PNC
2.9631
minADE (K=1)
No paper
#58naive method test
2.9631
minADE (K=1)
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#59default
2.9631
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#60efficent and adaptive
2.9631
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2.9576
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#62gogogo_zhigang
2.9498
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2.9337
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2.9076
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#66posterior with best parameters
2.8257
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2.8104
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2.797
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2.7949
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2.771
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2.7484
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2.7385
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2.7291
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2.7271
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2.7262
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2.6885
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2.6883
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2.6784
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2.6392
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2.6003
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2.5911
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2.5904
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2.5888
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#84deleted_accout_because_of_submission_error
2.5448
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2.5344
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2.5329
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2.4627
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2.4611
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2.4611
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2.4228
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2.418
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2.4032
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2.3896
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2.3865
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2.3805
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2.3379
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2.3148
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2.3053
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2.2923
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#102Tang Luqi
2.2719
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#103DF-RNN
2.2709
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2.2558
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#105Fong
2.232
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#106NCTU-GPL-GPAL
2.2283
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2.2181
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2.1962
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2.174
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#112TNT - CoRL20SOTA
2.174
minADE (K=1)· 2020-08-19
TNT: Target-driveN Trajectory Prediction Code
#113El Camino
2.1728
minADE (K=1)
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#114Challenge
2.1686
minADE (K=1)
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2.1461
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#116Xiaogang
2.1416
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2.1057
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2.0987
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2.0558
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#120raster-to-svg-train(t70.5k-train120k)1e-4-2-bs5-39k
2.0489
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#121TNT_20220819
2.0414
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#122huangmozhi9527
2.0401
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#123CMAN(av1_demo)
2.0363
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#124cls-token-transfer208k
2.0031
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2.0029
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1.9953
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1.986
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1.9673
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1.9536
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1.9424
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#131Social-CVAE
1.9276
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1.9152
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1.9123
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1.9044
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1.8988
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1.89
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1.8785
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#142tnt-mtp_100s_targetloss_1-1_6
1.8768
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#143HGO (K=6)
1.8763
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1.8705
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#145tmtkinu
1.8684
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#146idlaber-Hans
1.8637
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#147UAR
1.8599
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#148argo_test_18_5m_add_rotation_change_data_change_model_3_01
1.8594
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#149vector-net-latest
1.8525
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1.8521
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1.8436
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1.8426
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1.8397
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1.8386
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1.8335
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1.8312
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1.8312
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1.8233
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#159dis102500
1.8179
minADE (K=1)
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#160CRAT-Pred
1.8162
minADE (K=1)· 2022-02-09
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention Code
#161SceneTransformer
1.8108
minADE (K=1)
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1.8103
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#1631mode-groupEmbed-160000
1.809
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1.8062
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1.803
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1.8014
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1.7995
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1.7988
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1.7978
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1.7902
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1.7874
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#172Tang Luqi
1.7812
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1.7762
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1.7737
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1.7732
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#176fyyclass
1.7721
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#177FTGN
1.7716
minADE (K=1)· 2022-07-01
Trajectory Forecasting on Temporal Graphs Code
#178numberEight
1.7491
minADE (K=1)
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#179l_DGA_lg
1.7453
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#180leon
1.7438
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1.7414
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1.7396
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1.7368
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1.7365
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1.735
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1.7343
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#187Shangguan_IFS
1.7338
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#188LaneGCN-s
1.731
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#189gcu_v2
1.7303
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#190sample_replace_gt_smalln_82
1.73
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#191huyuening
1.7288
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#192PRANK
1.7284
minADE (K=1)· 2020-10-22
PRANK: motion Prediction based on RANKing
#193PRANK
1.7284
minADE (K=1)· 2020-10-22
PRANK: motion Prediction based on RANKing
#194LaneGCN-trainset-36
1.7252
minADE (K=1)
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#195SCM+Distill(best model)
1.7239
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#196s1
1.7191
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#197Transformer1
1.7189
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#198fyyyy
1.7176
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#199lanegcn_12_epoch
1.7168
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#200lengyue
1.7163
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#201Jack-M
1.715
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#202William
1.712
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#203FRM
1.7063
minADE (K=1)· 2023-05-24
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
#204vill
1.7061
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#205LGN
1.706
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#206Europa
1.7055
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#20715 train 40e
1.7041
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#208Miss Rate
1.7029
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#209YuNi
1.7024
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1.7024
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#211CY_ng
1.7024
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1.7024
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#213julie-1
1.7024
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1.7024
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#215hitchhiker
1.7024
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#217hitljx_test_sub
1.7024
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#218chailiang
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#219zhousihong
1.7024
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#220LaneGCN
1.7019
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#221yiqi-fudan
1.7012
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#222scale4
1.7001
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#223abac
1.6997
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#224HOME + GOHOME
1.6986
minADE (K=1)· 2021-05-23
HOME: Heatmap Output for future Motion Estimation Code
#225vilab
1.698
minADE (K=1)
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#226SenseTime_AP
1.6973
minADE (K=1)
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#227mymodel7_actornet_2_mapnet_a2m_a2a_222
1.6968
minADE (K=1)
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#228(VI)
1.6906
minADE (K=1)
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#229GOHOME
1.6887
minADE (K=1)· 2021-09-04
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
#230vi_avp
1.6883
minADE (K=1)
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#231prediction-liangdian
1.6864
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#232MFT
1.6856
minADE (K=1)
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#233LaneRCNN (IROS 2021)
1.6852
minADE (K=1)· 2021-01-17
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
#234daiyongjie
1.6837
minADE (K=1)
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#235minFDE
1.6791
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#236DSP
1.6788
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#23788
1.6768
minADE (K=1)
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#238TPA+Laneloss
1.6737
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#239damplyv1
1.6737
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#240ToNet
1.6724
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#241mm_kk_parallel_distemb_91
1.6702
minADE (K=1)
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#242THOMAS
1.6686
minADE (K=1)· 2021-10-13
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
#243just_a_test
1.6666
minADE (K=1)
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#244Hi_base
1.6602
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#245cls-weight1-5
1.6588
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#246brier36
1.6585
minADE (K=1)
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#247ATDSNet-v2
1.6572
minADE (K=1)
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#248MacFormer
1.6565
minADE (K=1)· 2022-06-30
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
#249FGNet_sub
1.6561
minADE (K=1)
No paper
#250cul2
1.6557
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#251MSPre
1.6547
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#252DIDI
1.6492
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#253xia
1.6453
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#254lstm_v1
1.645
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#255ECARX-V1
1.6427
minADE (K=1)
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#256cls_weight1.2-decoder5-use-last
1.6405
minADE (K=1)
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#257decoder-3-last
1.6377
minADE (K=1)
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#258Wayformer
1.636
minADE (K=1)· 2022-07-12
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Code
#259SSL-Lanes
1.6342
minADE (K=1)· 2022-06-28
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Code
#260DTNet(FDE)
1.6338
minADE (K=1)
No paper
#261ATTTHOM
1.632
minADE (K=1)
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#262HIKVISION-ADLab-hz
1.6287
minADE (K=1)
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#263matrix_mugen
1.6266
minADE (K=1)
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#264vectorgcn
1.6262
minADE (K=1)
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#265be_s2lossf_3846
1.6244
minADE (K=1)
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#266whr_test
1.6242
minADE (K=1)
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#267multipath++
1.6235
minADE (K=1)· 2021-11-29
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction Code
#268Dcupqiu
1.6225
minADE (K=1)
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#269CU-aware LaneGCN
1.6217
minADE (K=1)
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#270LTP
1.6214
minADE (K=1)
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#271m2a2_34
1.6186
minADE (K=1)
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#272TO
1.6124
minADE (K=1)
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#273chl(yiqi)
1.6117
minADE (K=1)
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#274Met
1.6072
minADE (K=1)
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#275HiVT-128
1.5984
minADE (K=1)
No paperCode
#276ussm v2-SAIPS
1.5969
minADE (K=1)
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#277Ameame
1.5959
minADE (K=1)
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#278GANet
1.5921
minADE (K=1)· 2022-09-20
GANet: Goal Area Network for Motion Forecasting Code
#279EuclidNet-L
1.5852
minADE (K=1)
No paper
#280lt_tv_cont
1.5851
minADE (K=1)
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#281R-Pred
1.5843
minADE (K=1)· 2022-11-16
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement
#282TPCN
1.5752
minADE (K=1)· 2021-03-04
TPCN: Temporal Point Cloud Networks for Motion Forecasting
#283ProIn_av1
1.5737
minADE (K=1)
No paper
#284Holistic Transformer
1.5692
minADE (K=1)· 2022-06-17
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles
#285Gnet
1.5689
minADE (K=1)
No paper
#286HiVT++
1.5619
minADE (K=1)
No paperCode
#287PAGA
1.5599
minADE (K=1)
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#288LAformer
1.5531
minADE (K=1)
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#289lt_cont_k6
1.5407
minADE (K=1)
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#290DuanZX
1.5349
minADE (K=1)
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#291FFINet
1.5327
minADE (K=1)
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#292QCNet
1.5234
minADE (K=1)
No paperCode
#293VI LaneIter
1.5181
minADE (K=1)
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#294TSGN
1.5111
minADE (K=1)
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#295TPCN++
1.5099
minADE (K=1)
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#296shernan_wu
1.5097
minADE (K=1)
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#297ProphNet
1.491
minADE (K=1)
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#298DCMS
1.4768
minADE (K=1)· 2022-04-12
Bootstrap Motion Forecasting With Self-Consistent Constraints
#299SEPT
1.4412
minADE (K=1)
No paper