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SUMMARY:Higher Resolution Millimeter Wave Imaging Using Radar Fusion
DTSTART:20230823T150000
DTEND:20230823T170000
DTSTAMP:20260408T044331Z
UID:2ecf2f8f8a9b1c67c108f70de7cb5394facf2482d2564ad29ded540e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Samah Hussein Youssef\nEDIC candidacy exam\nExam president: Pr
 of. Sabine Süsstrunk\nThesis advisor: Prof. Haitham Al Hassanieh\nCo-exam
 iner: Prof. Mathieu Salzmann\n\nAbstract\nThe usage of millimeter-wave rad
 ars for perception is becoming increasingly prominent in multiple fields s
 uch as automotive\, industry and security. This is due to their robust per
 ception capability in different environments\, as well as carrying higher 
 depth information than other common perception sensors like cameras. Howev
 er\, these devices face several challenges that hinder their usage as the 
 main sensor in such applications\, such as low angular resolution\, multip
 ath\, and specularity. These challenges make it difficult to reach a meani
 ngful scene understanding. In this work\, we explore the usage of multiple
  mmWave radars for imaging. We show that combining the reflections from tw
 o radars provides a higher resolution scene mapping and more accurate dept
 h information than just one radar or stereo cameras.\n\nBackground papers\
 n1. See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar (m
 illimap) https://dl.acm.org/doi/pdf/10.1145/3386901.3388945\n2. Hidden Gem
 s: 4D Radar Scene Flow Learning Using Cross-Modal Supervision https://arxi
 v.org/pdf/2303.00462.pdf\n3. Pointillism: Accurate 3D Bounding Box Estimat
 ion with Multi-Radars https://arxiv.org/pdf/2203.04440.pdf\n\n 
LOCATION:BC 133 https://plan.epfl.ch/?room==BC%20133
STATUS:CONFIRMED
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