Distracted_driver_detect_classify
Using deep convolutional neural networks to detect and classify different types of driver distractions. Full project description and modelling process are included, e.g., data analysis and processing a
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Android Nn Driver | 130 | 2 years ago | 4 | mit | C++ | |||||
| Drowsydriverdetection | 81 | 6 years ago | 5 | Python | ||||||
| Drowsy driver detection using Keras and convolution neural networks. | ||||||||||
| Ethos N Driver Stack | 47 | 4 months ago | 4 | C++ | ||||||
| Driver stack (including user space libraries, kernel module and firmware) for the Arm® Ethos™-N NPU | ||||||||||
| Da Rnn_manoeuver_anticipation | 16 | 5 years ago | 2 | apache-2.0 | Python | |||||
| Domain-Adaptive Recurrent Neural Network for driving manoeuver anticipation, built in Keras | ||||||||||
| Self Driving Robot Using Neural Network | 9 | 3 years ago | mit | Python | ||||||
| This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images. | ||||||||||
| Driver Telematics Kaggle Neural Net | 6 | 9 years ago | Python | |||||||
| My try at solving the Driver Telematics problem on Kaggle using neural networks | ||||||||||
| Gsoc Ros Neural | 6 | 9 years ago | apache-2.0 | Python | ||||||
| Repository for the GSOC 2015 Neural Interfaces for ROS project, sponsored by OSRF. | ||||||||||
| Distracted_driver_detect_classify | 5 | 7 years ago | Jupyter Notebook | |||||||
| Using deep convolutional neural networks to detect and classify different types of driver distractions. Full project description and modelling process are included, e.g., data analysis and processing a | ||||||||||
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