Automotive AI Comparison Hub
3 papers - avg viability 5.7
Top Papers
- Visual and Cognitive Demands of a Large Language Model-Powered In-vehicle Conversational Agent(7.0)
Develop a safe, low-distraction LLM-powered in-vehicle assistant to enhance driver safety and communication.
- An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation(7.0)
An explainable fault detection and diagnosis model for automotive software systems validation, leveraging hybrid deep learning and explainable AI techniques.
- An Analysis of Multi-Task Architectures for the Hierarchic Multi-Label Problem of Vehicle Model and Make Classification(5.0)
Develop a multi-task learning framework to improve vehicle make and model classification using hierarchical structures.