perseus784 / Vehicle_Collision_Prediction_Using_CNN-LSTMs

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

Date Created 2020-04-12 (4 years ago)

Commits 52 (last one about a year ago)

Stargazers 142 (0 this week)

Watchers 3 (0 this week)

Forks 29

License gpl-3.0

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RepositoryStats indexes 636,587 repositories, of these perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs is ranked #241,591 (62nd percentile) for total stargazers, and #419,569 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #44,966/130,324.

perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs is also tagged with popular topics, for these it's ranked: python (#10,949/23538), tensorflow (#1,274/2305), cnn (#251/575), action-recognition (#50/111)

Other Information

Homepage URL: https://medium.com/towards-data-science/building-a-deep-learning-model-to-judge-if-you-are-at-risk-1c96f90d666c

All Topics

cnn lstm carla lstms python cnn-lstm tensorflow carla-simulator autopilot-script time-distributed action-recognition collision-detection scene-understanding tensorflow-examples image-series-prediction vehicle-collision-prediction

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1 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

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perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs

updated: 2025-04-05 @ 09:14am, id: 255005627 / R_kgDODzMTuw