Two-stream video-based deep learning model for crashes and near-crashes
- 7 August 2024
- journal article
- research article
- Published by Elsevier in Transportation Research Part C: Emerging Technologies
- Vol. 166
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Real-time driving risk assessment using deep learning with XGBoostAccident Analysis & Prevention, 2022
- Video Swin Transformer2022
- A review on the attention mechanism of deep learningNeurocomputing, 2021
- Decision-adjusted driver risk predictive models using kinematics informationAccident Analysis & Prevention, 2021
- Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methodsAccident Analysis & Prevention, 2021
- Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learningSoft Computing, 2021
- PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume2018
- Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicinePhysics in Medicine & Biology, 2018
- Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017
- Convolutional Two-Stream Network Fusion for Video Action Recognition2016