ConvCatb: An Attention-based CNN-CATBOOST Risk Prediction Model for Driving Safety

2021 International Conference on Networking and Network Applications (NaNA)(2021)

引用 1|浏览1
暂无评分
摘要
Risk prediction is one of the most important tasks in assistant and automatic driving. In recent years, by the help of VANET and various sensors in the cars, the status of cars and roads can be collected in real time and used for data-driven based driving risk prediction. However, it is challenging to predict the driving risk due to the complex relationship between multiple environment factors lik...
更多
查看译文
关键词
Machine learning algorithms,Roads,Vehicular ad hoc networks,Prediction algorithms,Real-time systems,Classification algorithms,Safety
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要