This paper proposes a framework for uncertainty prediction in complex fusion networks,
where signals become available sporadically. Assuming there is no information of the …

Deep neural networks designed for vision tasks are often prone to failure when they
encounter environmental conditions not covered by the training data. Single-modal …

Autonomous driving has gradually moved towards practical applications in recent years. It is
particularly critical to provide reliable real‐time environmental information for autonomous …

Advanced driver assistance system (ADAS) technology offers potentially transformative
societal impacts, including significant mobility, road safety, and environmental benefits …

Autonomous-capable Electrified Vehicles are becoming increasingly popular in the field of
automotive research. They are being rapidly recognized as being a reliable alternative to …