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researcher

M. Halachmi

2 papers hereh-index 438 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.RO1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedCoherent, super resolved radar beamforming using self-supervised learning

17 citations · 17 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2022

Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning

Shmuel Y. Hayoun, Meir Halachmi, Doron Serebro +5

Achieving safe and reliable autonomous driving relies greatly on the ability to achieve an accurate and robust perception system; however, this cannot be fully realized without pre…

eess.SP2021★ 17 cited

Coherent, super resolved radar beamforming using self-supervised learning

Itai Orr, Moshik Cohen, Harel Damari +2

High resolution automotive radar sensors are required in order to meet the high bar of autonomous vehicles needs and regulations. However, current radar systems are limited in thei…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.