End-to-end comparison of Spiking Neural Networks (SNNs) and Convolutional Neural Networks (CNNs) for fusing event-camera and LiDAR data in autonomous driving perception. Current sensor fusion ...
The convergence of advanced sensors and AI models enables smart factories to process data at the Edge, optimising real-time decision-making ...
AI uses text to converse on mental health aspects. We are moving to multimodal interactions. Fusion is crucial. Especially ...
India’s effort to strengthen its sovereign airpower capability has entered a critical phase after France confirmed that it ...
New research describes multimodal sensor fusion for AI-based fault detection in 3D printing. In additive manufacturing, many monitoring systems still rely on a single data source — a camera for layer ...
Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation. In-process quality ...
Abstract: In recent years, the advancement of sensor-based systems has increasingly relied on real-time heterogeneous data from multiple sources. Therefore research on data fusion has been a key to ...
Abstract: Accurate odometry is crucial for mapping and localization of autonomous vehicles in unknown environment. Deep neural networks have shown significant promise in self-supervised odometry, ...
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