Distracted Driver detection with mobileVGG network on AUC dataset - bahetibhakti/Distracted-Driver-Detection
Distracted driver detection is provided. In various embodiments, a video frame is captured. The video frame is provided to a trained classifier. The presence of a predetermined action by a motor vehicle operator depicted therein is determined from the trained classifier. An alert is sent via a ...
Distracted-Driver-Detection MLND capstone 本项目使用Anaconda开发环境,用到的开发包有python3,基于TensorFlow的keras,OpenCV等。 训练数据来自kaggle竞赛:https://www.kaggle.com/c/state-farm-distracted-driver-detection/data 一共13个模型的代码分别为M1.ipynb到M13.ipynb,其训练结果分别为my_submission1.csv到my_...
The major cause of these accidents is driver error. This paper proposes solution to detect the distraction of driver, thus averting the possible accidents. The use of different Convolutional Neural Network (CNN) models namely: Small CNN, VGG16, VGG19, Inception for classification of distracted ...
In this work, we propose to integrate sensor data into the vision-based distracted driver detection model to improve the generalization ability of the system. With this purpose, we created a new data set that includes driver images and sensor data collected from real-world drives. Then, we ...
Distracted driver detection is provided. In various embodiments, a video frame is captured. The video frame is provided to a trained classifier. The presence of a predetermined action by a motor vehicle operator depicted therein is determined from the trained classifier. An alert is sent via a ...
Using this information, the system determines whether there is a distracted driver around the vehicle. In accordance with a determination that there is a distracted driver around the vehicle, the system performs a precautionary action. In accordance with a determination that there is a distracted ...
Distracted driver detection is provided. In various embodiments, a video frame is captured. The video frame is provided to a trained classifier. The presence of a predetermined action by a motor vehicle operator depicted therein is determined from the trained classifier. An alert is sent via a ...
Distracted Driver Detection 描述 使用深度学习方法检测驾驶员的状态。 输入:一张彩色图片 输出:十种状态的概率 状态列表: c0: 安全驾驶 c1: 右手打字 c2: 右手打电话 c3: 左手打字 c4: 左手打电话 c5: 调收音机 c6: 喝饮料 c7: 拿后面的东西 c8: 整理头发和化妆 c9: 和其他乘客说话 数据 此数据集可以从...
Vivek-B/KagglePublic NotificationsYou must be signed in to change notification settings Fork1 Star0 Files Digit Recognition State Farm Distracted Driver Detection Predictions.ipynb .gitattributes .gitignore mlp_lstm_mnist_demo.ipynb File metadata and controls ...