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Alberto Jaenal

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Preprint Aug 2026

Topometric Autonomous Vehicle Localization by Combining Visual Embeddings and Feed-Forward 3D Models

Effective Visual Localization (VL) requires a map of the environment that combines compactness for efficient scalability with robustness against visual appearance changes and metric precision. Through low-dimensional image embeddings, Visual Place Recognition (VPR) is able to successfully meet the first two requirement...

Eulogio Quemada-Torres, Alberto Jaenal, Francisco-Angel Moreno et al. · 0 citations
Preprint Open access Aug 2026

Gravity-aware partially calibrated absolute pose estimation from affine- or rotation-covariant features

Inertial measurement units (IMUs) are now standard in most consumer devices, such as smartphones, drones, and extended reality (XR) headsets. By fusing visual and inertial data, localization systems gain significantly in speed and robustness compared to vision-only or IMU-only approaches. However, traditional pose esti...

Marcus Valtonen Örnhag, Alberto Jaenal, Stefan Adalbjörnsson · 0 citations
Preprint Sep 2026

VI3: Grounding Pretrained 3D Foundation Models with Inertial Cues

VI3, a model-agnostic framework that metrically anchors a pretrained 3DFM using only IMU readings, is introduced, acting as a fine refinement under well-conditioned motion and as a strong prior when motion is less informative.

E. Lozano, Alberto Jaenal, Javier Civera · 1 citation
#artificial intelligence Preprint Sep 2026

Generation of Vectorized Maps Beyond Vehicle View

Autonomous driving relies on High Definition (HD) maps for safe navigation. Traditional HD maps construction is costly in hardware, data and human resources, which together with its update limitations hinders scalability. Recent works have proposed online alternatives for HD vectorized mapping from onboard sensors. How...

Clara Gómez, Alberto Jaenal, Antonio Artuñedo et al. · 0 citations

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