# perseus784/Vehicle\_Collision\_Prediction\_Using\_CNN-LSTMs

<https://repo.masters-masters.com/en/repos/perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs>

[Home](https://repo.masters-masters.com/en) › [perseus784](https://repo.masters-masters.com/en/owners/perseus784) › [Vehicle\_Collision\_Prediction\_Using\_CNN-LSTMs](https://repo.masters-masters.com/en/repos/perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs)

perseus784/Vehicle\_Collision\_Prediction\_Using\_CNN-LSTMs has 156 stars on GitHub. Its RepoMasters card: Prototype tier. Predict Vehicle collision moments…

| Field | Value |
| --- | --- |
| Owner | [perseus784](https://repo.masters-masters.com/en/owners/perseus784) |
| Stars | 156 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2020 |
| Topics | carla-simulator, carla, tensorflow, cnn, lstm, cnn-lstm, collision-detection, python, tensorflow-examples, time-distributed |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [perseus784/Vehicle\_Collision\_Prediction\_Using\_CNN-LSTMs](https://github.com/perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs) |

## Repository

Predict Vehicle collision moments before it happens in Carla\!. CNN and LSTM hybrid architecture is used to understand a series of images.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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