Luis M. Bergasa — accepted AI-conference papers

2026

GaussianCaR: Gaussian Splatting for Efficient Camera-Radar Fusion

Santiago Montiel-Marín, Miguel Antunes-García, Fabio Sánchez-García, Angel Llamazares, Holger Caesar, Luis M. Bergasa

ICRA 2026poster

Robust and accurate perception of dynamic objects and map elements is crucial for autonomous vehicles performing safe navigation in complex traffic scenarios. While vision-only methods have become the de facto standard due to their technical advances, they can benefit from effective and cost-efficie…

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2016

Fusion and binarization of CNN features for robust topological localization across seasons

Roberto Arroyo, Pablo F. Alcantarilla, Luis M. Bergasa, Eduardo Romera

IROS 2016poster

The extreme variability in the appearance of a place across the four seasons of the year is one of the most challenging problems in life-long visual topological localization for mobile robotic systems and intelligent vehicles. Traditional solutions to this problem are based on the description of ima…

Cited by 125 Source ↗Scholar ↗

2015

Towards life-long visual localization using an efficient matching of binary sequences from images

Roberto Arroyo, Pablo F. Alcantarilla, Luis M. Bergasa, Eduardo Romera

ICRA 2015poster

Life-long visual localization is one of the most challenging topics in robotics over the last few years. The difficulty of this task is in the strong appearance changes that a place suffers due to dynamic elements, illumination, weather or seasons. In this paper, we propose a novel method (ABLE-M) t…

Cited by 124 Source ↗Scholar ↗