Vehicle_Collision_Prediction_Using_CNN-LSTMs
Collision Predictor
Predicts vehicle collision moments before they happen using a CNN-LSTM hybrid architecture.
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
134 stars
3 watching
29 forks
Language: Python
last commit: 8 months ago
Linked from 1 awesome list
action-recognitionautopilot-scriptcarlacarla-simulatorcnncnn-lstmcollision-detectionimage-series-predictionlstmlstmspythonscene-understandingtensorflowtensorflow-examplestime-distributedvehicle-collision-prediction
Related projects:
Repository | Description | Stars |
---|---|---|
oyxhust/cnn-lstm-ctc-text-recognition | Develops CTC-based text recognition models with neural network architectures | 259 |
deepsense-ai/carla-real-traffic-scenarios | A toolkit for simulating real-world traffic scenarios in a virtual environment. | 80 |
ericlavigne/lyft-perception-challenge | This project aims to accurately detect vehicles and drivable roads in images from a simulator at high frame rates. | 9 |
s-nandi/carla-car-detection | An application of object detection to simulate traffic signs/lights and cars in the Carla simulator environment | 5 |
nourozr/stock-price-prediction-lstm | A Python project that uses LSTM recurrent neural networks to predict the average price of Apple Inc. stock based on historical data | 573 |
pxiangwu/motionnet | Develops accurate perception and motion prediction models for autonomous vehicles based on 2D maps | 169 |
nrhinehart/precog_carla_dataset | Provides tools and datasets for simulating driving scenarios with deep imitation learning | 41 |
alirezahappy/carla_script | Extracts semantic segmentation and depth prediction data from the Carla Urban Driving Simulator dataset | 3 |
csailvision/places365 | Provides pre-trained deep learning models for scene classification on the Places365 dataset | 1,926 |
onlytailei/carla_cil_pytorch | Implementation of a conditional imitation learning policy in PyTorch for autonomous driving using the Carla dataset. | 66 |
mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
martisaju/carla-speed-traffic-sign-detection-using-yolo | Detects CARLA Simulator traffic speed signs using YOLO v3 neural network object detection | 39 |
jannishoch/copro | Develops machine-learning models to predict conflict risk from climate and environmental factors. | 7 |
jaungiers/lstm-neural-network-for-time-series-prediction | A Python implementation of a Long Short-Term Memory neural network designed for predicting time series data sequences | 4,841 |
vivekpa/aialpha | This project trains machine learning models to predict stock returns using various algorithms and techniques. | 1,734 |