Metric: brier-minFDE (K=6) (higher is better)
| # | Model↕ | brier-minFDE (K=6)▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | WST | 26.4057 | No | - | - | - |
| 2 | BaseballBro | 24.3515 | No | - | - | - |
| 3 | Constant velocity map prior | 23.394 | No | - | - | - |
| 4 | DQS | 12.8813 | No | - | - | - |
| 5 | xjtub09 | 11.4556 | No | - | - | - |
| 6 | suu | 9.5077 | No | - | - | - |
| 7 | yellowtaxi | 8.8578 | No | - | - | - |
| 8 | Online_CL | 8.7522 | No | - | - | - |
| 9 | RuSheng | 8.3792 | No | - | - | - |
| 10 | mmmddd | 8.2618 | No | - | - | - |
| 11 | BD | 8.1441 | No | - | - | - |
| 12 | ffffx | 8.0293 | No | - | - | - |
| 13 | zlewe | 7.8875 | No | - | - | - |
| 14 | NCTU_309512033 | 7.8875 | No | - | - | - |
| 15 | null | 7.8875 | No | - | - | - |
| 16 | baseline_argo_contant_vel_01 | 7.8875 | No | - | - | - |
| 17 | test_1 | 7.8875 | No | - | - | - |
| 18 | Trial | 6.992 | No | - | - | - |
| 19 | haomo | 6.8531 | No | - | - | - |
| 20 | vectornet | 6.7247 | No | - | - | - |
| 21 | Waldo | 6.5202 | No | - | - | - |
| 22 | HH | 6.457 | No | - | - | - |
| 23 | gogogo_zhigang | 6.4158 | No | - | - | - |
| 24 | jwlhs104 | 6.3362 | No | - | - | - |
| 25 | Johnny Hsieh | 6.2931 | No | - | - | - |
| 26 | pph | 6.1954 | No | - | - | - |
| 27 | haomokeji | 6.1454 | No | - | - | - |
| 28 | Funtastic_4casting | 6.1315 | No | - | - | - |
| 29 | Constant-V-Forecating(very very naive) | 6.1315 | No | - | - | - |
| 30 | DeepPrediction | 6.1315 | No | - | - | - |
| 31 | lllsssjQuery33108037804872914465_1678097593292 | 6.1315 | No | - | - | - |
| 32 | MT-PNC | 6.1315 | No | - | - | - |
| 33 | naive method test | 6.1315 | No | - | - | - |
| 34 | default | 6.1315 | No | - | - | - |
| 35 | efficent and adaptive | 6.1315 | No | - | - | - |
| 36 | zys | 6.0771 | No | - | - | - |
| 37 | lstm+cnn | 6.0565 | No | - | - | - |
| 38 | grip | 5.9661 | No | - | - | - |
| 39 | LSTMs | 5.8479 | No | - | - | - |
| 40 | baguette | 5.8239 | No | - | - | - |
| 41 | gg6666 | 5.8185 | No | - | - | - |
| 42 | GoodMountain | 5.7168 | No | - | - | - |
| 43 | slf | 5.6948 | No | - | - | - |
| 44 | zs | 5.6682 | No | - | - | - |
| 45 | Ruochen | 5.6308 | No | - | - | - |
| 46 | D0.2 | 5.6071 | No | - | - | - |
| 47 | rishabh | 5.4818 | No | - | - | - |
| 48 | que_anr | 5.4732 | No | - | - | - |
| 49 | Xiaogang | 5.4699 | No | - | - | - |
| 50 | posterior with best parameters | 5.3363 | No | - | - | - |
| 51 | GRU_CVAE | 5.1399 | No | - | - | - |
| 52 | par | 5.1247 | No | - | - | - |
| 53 | Extended-Social-LSTM | 5.0872 | No | - | - | - |
| 54 | Tang Luqi | 5.0682 | No | - | - | - |
| 55 | fs | 5.0674 | No | - | - | - |
| 56 | miaomiao | 5.054 | No | - | - | - |
| 57 | cxl | 5.0426 | No | - | - | - |
| 58 | Model Agnostic Meta Learning | 4.9666 | No | - | - | - |
| 59 | Challenge | 4.9209 | No | - | - | - |
| 60 | wangwentong | 4.8253 | No | - | - | - |
| 61 | Alice_Bob | 4.787 | No | - | - | - |
| 62 | NCTU-BNN | 4.7203 | No | - | - | - |
| 63 | xjh199923 | 4.6814 | No | - | - | - |
| 64 | raster-to-svg-train(t70.5k-train120k)1e-4-2-bs5-39k | 4.6211 | No | - | - | - |
| 65 | Whatever | 4.5742 | No | - | - | - |
| 66 | gcu_v2 | 4.5214 | No | - | - | - |
| 67 | cls-token-transfer208k | 4.5196 | No | - | - | - |
| 68 | abac | 4.435 | No | - | - | - |
| 69 | cul2 | 4.3633 | No | - | - | - |
| 70 | hell | 4.276 | No | - | - | - |
| 71 | raster_v2 | 4.2673 | No | - | - | - |
| 72 | BNet-2S | 4.2643 | No | - | - | - |
| 73 | SHM | 4.255 | No | - | - | - |
| 74 | Gilgamesh | 4.1988 | No | - | - | - |
| 75 | tmtkinu | 4.1982 | No | - | - | - |
| 76 | tjxu | 4.1704 | No | - | - | - |
| 77 | HYU_ACE | 4.1457 | No | - | - | - |
| 78 | vector-net-latest | 4.1159 | No | - | - | - |
| 79 | ewta | 4.1094 | No | - | - | - |
| 80 | Multiple Trajectories | 4.0999 | No | - | - | - |
| 81 | phuang | 4.0972 | No | - | - | - |
| 82 | dis102500 | 4.0092 | No | - | - | - |
| 83 | 1mode-groupEmbed-160000 | 3.9973 | No | - | - | - |
| 84 | 1mode-groupEmbed-106000 | 3.9861 | No | - | - | - |
| 85 | NCTU-heheEECS | 3.9814 | No | - | - | - |
| 86 | NN(map) | 3.9814 | No | - | - | - |
| 87 | NN | 3.9814 | No | - | - | - |
| 88 | Fong | 3.9753 | No | - | - | - |
| 89 | Speculators | 3.8899 | No | - | - | - |
| 90 | PRANK | 3.8239 | No | PRANK: motion Prediction based on RANKing | 2020-10-22 | - |
| 91 | PRANK | 3.8239 | No | PRANK: motion Prediction based on RANKing | 2020-10-22 | - |
| 92 | 0626 | 3.8051 | No | - | - | - |
| 93 | Tim | 3.7943 | No | - | - | - |
| 94 | ln | 3.7921 | No | - | - | - |
| 95 | Aaron Huang | 3.7583 | No | - | - | - |
| 96 | llh | 3.5654 | No | - | - | - |
| 97 | ussm v2-SAIPS | 3.5154 | No | - | - | - |
| 98 | lixin | 3.5141 | No | - | - | - |
| 99 | TangBug | 3.4799 | No | - | - | - |
| 100 | bartosz | 3.4092 | No | - | - | - |
| 101 | Holmes | 3.3584 | No | - | - | - |
| 102 | lt_cont_k6 | 3.2923 | No | - | - | - |
| 103 | team_moe | 3.2327 | No | - | - | - |
| 104 | Social-CVAE | 3.2277 | No | - | - | - |
| 105 | Anonymous1234 | 3.2196 | No | - | - | - |
| 106 | adl | 3.2021 | No | - | - | - |
| 107 | randommm | 3.191 | No | - | - | - |
| 108 | fs_test | 3.1788 | No | - | - | - |
| 109 | hale | 3.0901 | No | - | - | - |
| 110 | deleted_accout_because_of_submission_error | 3.0871 | No | - | - | - |
| 111 | AttnLstmMultiMod_fix | 3.0322 | No | - | - | - |
| 112 | Vi yulia 51 prob | 2.9967 | No | - | - | - |
| 113 | lanegcn_pimp_curr_sgd | 2.994 | No | - | - | - |
| 114 | xmy | 2.9845 | No | - | - | - |
| 115 | mmppgg | 2.882 | No | - | - | - |
| 116 | Anchor | 2.8381 | No | - | - | - |
| 117 | TNT_20220819 | 2.8266 | No | - | - | - |
| 118 | msms | 2.8147 | No | - | - | - |
| 119 | timtim | 2.8131 | No | - | - | - |
| 120 | CoderTeam | 2.8102 | No | - | - | - |
| 121 | mtz | 2.7502 | No | - | - | - |
| 122 | multimodal | 2.7277 | No | - | - | - |
| 123 | huangmozhi | 2.7237 | No | - | - | - |
| 124 | El Camino | 2.6708 | No | - | - | - |
| 125 | huhu | 2.6675 | No | - | - | - |
| 126 | CRAT-Pred | 2.5926 | No | CRAT-Pred: Vehicle Trajectory Prediction with Cr... | 2022-02-09 | Code |
| 127 | Array | 2.5316 | No | - | - | - |
| 128 | MultiLine | 2.4781 | No | - | - | - |
| 129 | DGA_lg | 2.4713 | No | - | - | - |
| 130 | zhanzhenxueyuan | 2.3691 | No | - | - | - |
| 131 | lstm | 2.3613 | No | - | - | - |
| 132 | 6 mode model | 2.3584 | No | - | - | - |
| 133 | argo_test_18_5m_add_rotation_change_data_change_model_3_01 | 2.3544 | No | - | - | - |
| 134 | Map Static+Specific | 2.3277 | No | - | - | - |
| 135 | damplyv1 | 2.3223 | No | - | - | - |
| 136 | TrajectoryOracle | 2.3104 | No | - | - | - |
| 137 | tusiji12138 | 2.2793 | No | - | - | - |
| 138 | xjh | 2.2688 | No | - | - | - |
| 139 | fyyclass | 2.2641 | No | - | - | - |
| 140 | uulm-mrm | 2.243 | No | - | - | - |
| 141 | arky | 2.225 | No | - | - | - |
| 142 | leige | 2.2004 | No | - | - | - |
| 143 | tnt-mtp_100s_targetloss_1-1_6 | 2.2003 | No | - | - | - |
| 144 | Tang Luqi | 2.1898 | No | - | - | - |
| 145 | Tang Luqi | 2.1863 | No | - | - | - |
| 146 | huangmozhi9527 | 2.1611 | No | - | - | - |
| 147 | NCTU-GPL-GPAL | 2.1576 | No | - | - | - |
| 148 | cxx | 2.1486 | No | - | - | - |
| 149 | tp | 2.1485 | No | - | - | - |
| 150 | LaneRCNN (IROS 2021) | 2.147 | No | LaneRCNN: Distributed Representations for Graph-... | 2021-01-17 | - |
| 151 | SCP | 2.1405 | No | - | - | - |
| 152 | Habitat-Web | 2.1401 | No | - | - | - |
| 153 | TNT - CoRL20 | 2.1401 | No | TNT: Target-driveN Trajectory Prediction | 2020-08-19 | Code |
| 154 | pred | 2.1386 | No | - | - | - |
| 155 | ORIGINAL | 2.1368 | No | - | - | - |
| 156 | rush | 2.1343 | No | - | - | - |
| 157 | ulimit | 2.1286 | No | - | - | - |
| 158 | wimp | 2.1164 | No | - | - | - |
| 159 | Jean | 2.1154 | No | - | - | - |
| 160 | s1 | 2.1136 | No | - | - | - |
| 161 | HTTP | 2.1114 | No | - | - | - |
| 162 | TestForecast | 2.1093 | No | - | - | - |
| 163 | lagat_mm | 2.1092 | No | - | - | - |
| 164 | DF-RNN | 2.1082 | No | - | - | - |
| 165 | MTN | 2.1039 | No | - | - | - |
| 166 | player | 2.1037 | No | - | - | - |
| 167 | SCP | 2.1001 | No | - | - | - |
| 168 | fyyyy | 2.0999 | No | - | - | - |
| 169 | TPA+Laneloss | 2.0993 | No | - | - | - |
| 170 | PRIME | 2.0978 | No | - | - | - |
| 171 | LaneGCN-s | 2.0975 | No | - | - | - |
| 172 | HGO (K=6) | 2.0926 | No | - | - | - |
| 173 | Alibaba-ADLab | 2.0891 | No | - | - | - |
| 174 | somemethod | 2.0884 | No | - | - | - |
| 175 | ISY@TK | 2.0857 | No | - | - | - |
| 176 | CMAN(av1_demo) | 2.083 | No | - | - | - |
| 177 | chant | 2.0798 | No | - | - | - |
| 178 | Europa | 2.0789 | No | - | - | - |
| 179 | mt_navi | 2.0783 | No | - | - | - |
| 180 | huyuening | 2.0776 | No | - | - | - |
| 181 | Miss Rate | 2.0759 | No | - | - | - |
| 182 | Transformer1 | 2.0725 | No | - | - | - |
| 183 | 15 train 40e | 2.0717 | No | - | - | - |
| 184 | lanegcn_12_epoch | 2.0714 | No | - | - | - |
| 185 | numberEight | 2.0712 | No | - | - | - |
| 186 | mymodel7_actornet_2_mapnet_a2m_a2a_222 | 2.0699 | No | - | - | - |
| 187 | sihong | 2.0682 | No | - | - | - |
| 188 | LaneGCN-trainset-36 | 2.0668 | No | - | - | - |
| 189 | William | 2.0651 | No | - | - | - |
| 190 | just_a_test | 2.0651 | No | - | - | - |
| 191 | UAR | 2.0592 | No | - | - | - |
| 192 | LGN | 2.0585 | No | - | - | - |
| 193 | SenseTime_AP | 2.0584 | No | - | - | - |
| 194 | AutoBot-Ego | 2.0574 | No | - | - | - |
| 195 | LaneGCN | 2.0539 | No | - | - | - |
| 196 | YuNi | 2.0495 | No | - | - | - |
| 197 | watson | 2.0495 | No | - | - | - |
| 198 | CY_ng | 2.0495 | No | - | - | - |
| 199 | cbc | 2.0495 | No | - | - | - |
| 200 | julie-1 | 2.0495 | No | - | - | - |
| 201 | ywyeh | 2.0495 | No | - | - | - |
| 202 | hitchhiker | 2.0495 | No | - | - | - |
| 203 | alfred | 2.0495 | No | - | - | - |
| 204 | hitljx_test_sub | 2.0495 | No | - | - | - |
| 205 | chailiang | 2.0495 | No | - | - | - |
| 206 | zhousihong | 2.0495 | No | - | - | - |
| 207 | (VI) | 2.0482 | No | - | - | - |
| 208 | JMT | 2.048 | No | - | - | - |
| 209 | l_DGA_lg | 2.044 | No | - | - | - |
| 210 | idlaber-Hans | 2.0434 | No | - | - | - |
| 211 | leon | 2.0414 | No | - | - | - |
| 212 | sample_replace_gt_smalln_82 | 2.0408 | No | - | - | - |
| 213 | daiyongjie | 2.0408 | No | - | - | - |
| 214 | vi_avp | 2.04 | No | - | - | - |
| 215 | scale4 | 2.0374 | No | - | - | - |
| 216 | mmTransformer | 2.0328 | No | - | - | - |
| 217 | MSPre | 2.0305 | No | - | - | - |
| 218 | 88 | 2.0214 | No | - | - | - |
| 219 | SCM+Distill(best model) | 2.0179 | No | - | - | - |
| 220 | Parallel x-transformers version1.1 | 2.0115 | No | - | - | - |
| 221 | wo_longterm | 2.006 | No | - | - | - |
| 222 | Lane_vae | 2.0058 | No | - | - | - |
| 223 | lengyue | 1.9981 | No | - | - | - |
| 224 | Lotus | 1.9922 | No | - | - | - |
| 225 | ECARX-V1 | 1.9902 | No | - | - | - |
| 226 | JAL-MTP | 1.9863 | No | - | - | - |
| 227 | GOHOME | 1.9834 | No | GOHOME: Graph-Oriented Heatmap Output for future... | 2021-09-04 | - |
| 228 | ToNet | 1.9773 | No | - | - | - |
| 229 | minFDE | 1.9759 | No | - | - | - |
| 230 | lt_tv_cont | 1.9744 | No | - | - | - |
| 231 | MR | 1.9737 | No | - | - | - |
| 232 | vectorgcn | 1.9737 | No | - | - | - |
| 233 | THOMAS | 1.9736 | No | THOMAS: Trajectory Heatmap Output with learned M... | 2021-10-13 | - |
| 234 | Dcupqiu | 1.966 | No | - | - | - |
| 235 | vilab | 1.9635 | No | - | - | - |
| 236 | Model0 | 1.9623 | No | - | - | - |
| 237 | brier36 | 1.9618 | No | - | - | - |
| 238 | CU-aware LaneGCN | 1.954 | No | - | - | - |
| 239 | EuclidNet-L | 1.9461 | No | - | - | - |
| 240 | Shangguan_IFS | 1.946 | No | - | - | - |
| 241 | SSL-Lanes | 1.9433 | No | SSL-Lanes: Self-Supervised Learning for Motion F... | 2022-06-28 | Code |
| 242 | DIDI | 1.9423 | No | - | - | - |
| 243 | Waypoint | 1.9393 | No | - | - | - |
| 244 | FRM | 1.9365 | No | Leveraging Future Relationship Reasoning for Veh... | 2023-05-24 | - |
| 245 | parallel_tl_123_0224 | 1.932 | No | - | - | - |
| 246 | vill | 1.9309 | No | - | - | - |
| 247 | yiqi-fudan | 1.929 | No | - | - | - |
| 248 | TPCN | 1.9286 | No | TPCN: Temporal Point Cloud Networks for Motion F... | 2021-03-04 | - |
| 249 | FTGN | 1.9285 | No | Trajectory Forecasting on Temporal Graphs | 2022-07-01 | Code |
| 250 | DTNet(FDE) | 1.9211 | No | - | - | - |
| 251 | FGNet_sub | 1.918 | No | - | - | - |
| 252 | xia | 1.9175 | No | - | - | - |
| 253 | Holistic Transformer | 1.9172 | No | Holistic Transformer: A Joint Neural Network for... | 2022-06-17 | - |
| 254 | MFT | 1.9162 | No | - | - | - |
| 255 | prediction-liangdian | 1.9006 | No | - | - | - |
| 256 | lstm_v1 | 1.8988 | No | - | - | - |
| 257 | Hi_base | 1.8981 | No | - | - | - |
| 258 | decoder-3-last | 1.8932 | No | - | - | - |
| 259 | cls-weight1-5 | 1.8915 | No | - | - | - |
| 260 | cls_weight1.2-decoder5-use-last | 1.8872 | No | - | - | - |
| 261 | SceneTransformer | 1.8868 | No | - | - | - |
| 262 | ATDSNet-v2 | 1.883 | No | - | - | - |
| 263 | chl(yiqi) | 1.8817 | No | - | - | - |
| 264 | whr_test | 1.8752 | No | - | - | - |
| 265 | matrix_mugen | 1.8738 | No | - | - | - |
| 266 | FGNet | 1.8691 | No | - | - | - |
| 267 | mm_kk_parallel_distemb_91 | 1.8678 | No | - | - | - |
| 268 | HOME + GOHOME | 1.8601 | No | HOME: Heatmap Output for future Motion Estimation | 2021-05-23 | Code |
| 269 | DSP | 1.8584 | No | - | - | - |
| 270 | Jack-M | 1.8567 | No | - | - | - |
| 271 | LTP | 1.8566 | No | - | - | - |
| 272 | HiVT-128 | 1.8422 | No | - | - | Code |
| 273 | m2a2_34 | 1.8392 | No | - | - | - |
| 274 | LAformer | 1.8347 | No | - | - | - |
| 275 | HIKVISION-ADLab-hz | 1.8188 | No | - | - | - |
| 276 | HiVT++ | 1.8171 | No | - | - | Code |
| 277 | shernan_wu | 1.8095 | No | - | - | - |
| 278 | TSGN | 1.8092 | No | - | - | - |
| 279 | Met | 1.8067 | No | - | - | - |
| 280 | Ameame | 1.8006 | No | - | - | - |
| 281 | ATTTHOM | 1.7992 | No | - | - | - |
| 282 | TPCN++ | 1.7963 | No | - | - | - |
| 283 | TO | 1.794 | No | - | - | - |
| 284 | multipath++ | 1.7932 | No | MultiPath++: Efficient Information Fusion and Tr... | 2021-11-29 | Code |
| 285 | GANet | 1.7899 | No | GANet: Goal Area Network for Motion Forecasting | 2022-09-20 | Code |
| 286 | be_s2lossf_3846 | 1.78 | No | - | - | - |
| 287 | R-Pred | 1.7765 | No | R-Pred: Two-Stage Motion Prediction Via Tube-Que... | 2022-11-16 | - |
| 288 | MacFormer | 1.7667 | No | TENET: Transformer Encoding Network for Effectiv... | 2022-06-30 | - |
| 289 | DuanZX | 1.7654 | No | - | - | - |
| 290 | PAGA | 1.7568 | No | - | - | - |
| 291 | DCMS | 1.7564 | No | Bootstrap Motion Forecasting With Self-Consisten... | 2022-04-12 | - |
| 292 | Gnet | 1.7512 | No | - | - | - |
| 293 | ProIn_av1 | 1.7483 | No | - | - | - |
| 294 | Wayformer | 1.7408 | No | Wayformer: Motion Forecasting via Simple & Effic... | 2022-07-12 | Code |
| 295 | VI LaneIter | 1.7313 | No | - | - | - |
| 296 | FFINet | 1.7286 | No | - | - | - |
| 297 | ProphNet | 1.6942 | No | - | - | - |
| 298 | QCNet | 1.6934 | No | - | - | Code |
| 299 | SEPT | 1.682 | No | - | - | - |