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 9 months ago)

Stargazers 135 (0 this week)

Watchers 3 (0 this week)

Forks 29

License gpl-3.0

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RepositoryStats indexes 595,856 repositories, of these perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs is ranked #239,469 (60th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #43,886/119,431.

perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs is also tagged with popular topics, for these it's ranked: python (#10,858/22324), tensorflow (#1,295/2255), cnn (#251/556), action-recognition (#50/105)

Other Information

Homepage URL: https://towardsdatascience.com/building-a-deep-learning-model-to-judge-if-you-are-at-risk-1c96f90d666c?source=friends_link&sk=20a6c7b9ea1265821d59df3286c7f42d

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: 2024-12-09 @ 11:18pm, id: 255005627 / R_kgDODzMTuw