Page
%P
-
Chapter and Conference Paper
DeepTSW: An Urban Traffic Safety Warning Framework Based on Bayesian Deep Learning
As a part of the smart city, urban traffic safety has always received strong attention. For urban traffic safety, previous work often relies on some additional features and machine learning models, mainly cons...
-
Chapter and Conference Paper
Social Behavior-Aware Driving Intention Detection Using Spatio-Temporal Attention Network
Driving intent detection represents a formidable challenge in the realm of intelligent transportation systems, as its accurate prediction is crucial for guaranteeing the safety and reliability of autonomous ve...