Δ | # | Participants | Score | Submission Trend |
Obstacle Prediction Weight: 10.0 |
Scene Segmentation Weight: 30.0 |
Lidar Car Detection Weight: 15.0 |
Environment Classification Weight: 20.0 |
Object Detection Weight: 25.0 |
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01 | BanKhv | 455.000 |
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5 0.907 | 3 0.982 | 5 2.0 | 7 0.62 | 4 0.269 | |
02 |
|
525.000 |
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2 0.92 | 11 0.944 | 6 3.0 | 3 0.645 | 0.286 | |
03 |
|
625.000 |
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7 0.905 | 2 0.983 | 11 14.0 | 4 0.63 | 10 0.219 | |
04 | eric_parisot | 670.000 |
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8 0.898 | 0.984 | 3 1.0 | 2 0.734 | 19 0.144 | |
05 | victorkras2008 | 680.000 |
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11 0.887 | 4 0.98 | 15 29.0 | 5 0.625 | 5 0.258 | |
06 |
|
705.000 |
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6 0.905 | 6 0.979 | 2 0.0 | 13 0.569 | 7 0.25 | |
07 | dmitriy_kutsenko | 915.000 |
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0.927 | 14 0.914 | 4 2.0 | 10 0.607 | 9 0.227 | |
08 |
|
1000.000 |
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34 0.839 | 9 0.975 | 9 5.0 | 9 0.616 | 3 0.274 | |
09 |
|
1090.000 |
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4 0.908 | 15 0.905 | 12 14.0 | 6 0.621 | 12 0.201 | |
10 | NimbooPaani | 1275.000 |
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26 0.853 | 16 0.889 | 0.0 | 16 0.441 | 8 0.237 | |
11 | daniel_morton | 1345.000 |
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28 0.852 | 4 0.98 | 20 38.0 | 26 0.408 | 5 0.258 | |
12 | ihar | 1440.000 |
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16 0.875 | 13 0.926 | 15 29.0 | 17 0.44 | 13 0.199 | |
13 | shardul_gharat | 1720.000 |
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21 0.862 | 19 0.865 | 14 23.0 | 34 0.4 | 2 0.276 | |
14 | rdeggau | 1770.000 |
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3 0.911 | 24 0.773 | 26 69.0 | 19 0.419 | 10 0.219 | |
15 | alex_adamov | 1895.000 |
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17 0.875 | 12 0.942 | 23 44.0 | 31 0.407 | 16 0.19 | |
16 | coderXYZnk | 2030.000 |
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15 0.879 | 25 0.746 | 28 81.0 | 8 0.619 | 22 0.075 | |
17 | egor_dmitriev | 2175.000 |
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48 0.796 | 23 0.779 | 18 32.0 | 18 0.437 | 15 0.193 | |
18 | yu_luo | 2520.000 |
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18 0.868 | 36 0.74 | 29 84.0 | 15 0.443 | 21 0.076 | |
19 |
|
2730.000 |
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32 0.847 | 32 0.742 | 30 88.0 | 20 0.416 | 24 0.001 | |
20 | archit_bansal | 2935.000 |
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20 0.864 | 37 0.739 | 32 111.0 | 26 0.408 | 25 0.0 | |
21 | aman_patkar | 2955.000 |
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45 0.803 | 32 0.742 | 32 111.0 | 22 0.413 | 25 0.0 | |
22 | Zac | 3190.000 |
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36 0.82 | 10 0.968 | - | 33 0.406 | 25 0.0 | |
23 | romet.ai | 3205.000 |
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66 0.774 | 31 0.743 | 34 123.0 | 24 0.41 | 25 0.0 | |
24 | pn | 3260.000 |
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23 0.861 | - | 8 4.0 | 0.745 | 16 0.19 | |
25 | savitar | 3330.000 |
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63 0.778 | 34 0.741 | 39 218.0 | 26 0.408 | 23 0.073 | |
26 |
|
3400.000 |
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9 0.89 | - | 10 8.0 | 11 0.604 | 18 0.16 | |
27 | anurag_maji | 4025.000 |
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47 0.799 | 20 0.822 | 24 56.0 | 26 0.408 | - | |
28 | sanjay_papaiahgari | 4050.000 |
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22 0.862 | 38 0.736 | 13 17.0 | 21 0.414 | - | |
29 | assy | 4465.000 |
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10 0.888 | - | - | 14 0.486 | 14 0.196 | |
30 | xihaad | 4515.000 |
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40 0.806 | 34 0.741 | 36 189.0 | 24 0.41 | - | |
31 | michelle_chen | 5030.000 |
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43 0.804 | 28 0.744 | - | 22 0.413 | - | |
32 | no_name_no_data | 5075.000 |
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- | 28 0.744 | - | - | 20 0.078 | |
33 | veselyev_aleksandr | 5600.000 |
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- | 25 0.746 | - | 35 0.379 | - | |
34 | AxelDinh | 5640.000 |
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25 0.858 | - | 7 4.0 | 36 0.377 | - | |
35 |
|
5760.000 |
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72 0.711 | 28 0.744 | 31 93.0 | - | - | |
36 | arhit_bose_tagore | 5880.000 |
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42 0.805 | - | 25 62.0 | 26 0.408 | - | |
37 |
|
5960.000 |
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35 0.831 | 21 0.784 | - | - | - | |
38 | gudsi | 6020.000 |
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- | 7 0.977 | - | - | - | |
38 | chamberlain | 6020.000 |
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- | 7 0.977 | - | - | - | |
39 | AlexFr | 6320.000 |
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- | 17 0.884 | - | - | - | |
40 | jyot_makadiya | 6350.000 |
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- | 18 0.882 | - | - | - | |
41 | devkushal75 | 6440.000 |
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- | 21 0.784 | - | - | - | |
42 | rishabh30 | 6560.000 |
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- | 25 0.746 | - | - | - | |
43 |
|
6610.000 |
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56 0.788 | - | - | 12 0.59 | - | |
44 | minh_vu | 6640.000 |
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13 0.885 | - | 19 33.0 | - | - | |
45 | samtech | 6665.000 |
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11 0.887 | - | 22 41.0 | - | - | |
46 | vitouphy | 6730.000 |
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19 0.867 | - | 21 40.0 | - | - | |
47 | minuteswithmetrics | 7100.000 |
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67 0.773 | - | - | 31 0.407 | - | |
48 | hemanth_kollipara | 7170.000 |
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62 0.78 | - | - | 37 0.002 | - | |
49 |
|
7310.000 |
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- | - | 17 30.0 | - | - |