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Ignacio Tartavull

2 accepted papers

2019

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

IROS 2019poster

In this paper we propose a novel semantic localization algorithm that exploits multiple sensors and has precision on the order of a few centimeters. Our approach does not require detailed knowledge about the appearance of the world, and our maps require orders of magnitude less storage than maps uti…

Cited by 147SourceScholar
2017

An Error Detection and Correction Framework for Connectomics

NeurIPS 2017poster

We define and study error detection and correction tasks that are useful for 3D reconstruction of neurons from electron microscopic imagery, and for image segmentation more generally. Both tasks take as input the raw image and a binary mask representing a candidate object. For the error detection ta…

Cited by 48SourcePDFScholar