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Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder
Autonomous driving presents a complex challenge, which is usually addressed with artificial intelligence models that are end-to-end or modular in nature.
Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications
Unlike a traditional gyroscope, a visual gyroscope estimates camera rotation through images.
Towards urban scenes understanding through polarization cues
Autonomous robotics is critically affected by the robustness of its scene understanding algorithms.
P2D: a self-supervised method for depth estimation from polarimetry
Monocular depth estimation is a recurring subject in the field of computer vision.
Polarimetric image augmentation
Robotics applications in urban environments are subject to obstacles that exhibit specular reflections hampering autonomous navigation.
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