基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
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Updated
Jul 5, 2021 - Python
基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
A traffic simulation software based on SUMO that incorporates driver behavior.
Datasets, code and models from our driver gaze estimation works over the last few years.
Akshay Rangesh and Mohan M. Trivedi, "HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands," IEEE Conference on Computer Vision and Pattern Recognition - 3D HUMANS Workshop, 2018.
This is the codebase for our ICRA 2020 submission, GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.
The official repository for "Look where you’re going: Classifying drivers' attention through 3D gaze estimation"
Akshay Rangesh and Mohan Trivedi, "Forced Spatial Attention for Driver Foot Activity Classification," ICCV Workshop on Assistive Computer Vision and Robotics, 2019.
AI for social good /Risk assessment
A centralized dataset repository for Driver Behavior Time Series Classification
traffic sign detection using ML
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