# uber-research/LaneGCN

<https://repo.masters-masters.com/en/repos/uber-research/LaneGCN>

[Home](https://repo.masters-masters.com/en) › [uber-research](https://repo.masters-masters.com/en/owners/uber-research) › [LaneGCN](https://repo.masters-masters.com/en/repos/uber-research/LaneGCN)

uber-research/LaneGCN has 553 stars on GitHub. Its RepoMasters card: Alpha tier. \[ECCV2020 Oral\] Learning Lane Graph Representations for Motion Forecasting

| Field | Value |
| --- | --- |
| Owner | [uber-research](https://repo.masters-masters.com/en/owners/uber-research) |
| Stars | 553 |
| Forks | 132 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | self-driving, motion-estimation, graph-neural-networks, artificial-intelligence, motion-forecasting |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [uber-research/LaneGCN](https://github.com/uber-research/LaneGCN) |

## Repository

\[ECCV2020 Oral\] Learning Lane Graph Representations for Motion Forecasting

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.