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Makale detayı · 2021 · article

Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar

ISSN1530-437X
YÖKSİS OpenAlex Açık erişim · green Üst %10
Yıl2021
Atıf130OpenAlex
Atıf118Semantic Scholar · 4 etkili
Yüzdelik%97,4
FWCI6,221,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıIEEE Sensors Journal
  • Katalog eşleşmesi (ISSN)IEEE Sensors Journal
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex es

Robust indoor ego-motion estimation has attracted significant interest in the last decades due to the fast-growing demand for location-based services in indoor environments. Among various solutions, frequency-modulated continuous-wave (FMCW) radar sensors in millimeter-wave (MMWave) spectrum are gaining more prominence due to their intrinsic advantages such as penetration capability and high accuracy. Single-chip low-cost MMWave radar as an emerging technology provides an alternative and complementary solution for robust ego-motion estimation, making it feasible in resource-constrained platforms thanks to low-power consumption and easy system integration. In this paper, we introduce Milli-RIO, an MMWave radar-based solution making use of a single-chip low-cost radar and inertial measurement unit sensor to estimate six-degrees-of-freedom ego-motion of a moving radar. Detailed quantitative and qualitative evaluations prove that the proposed method achieves precisions on the order of few centimeters for indoor localization tasks.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

130atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 3 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2022 SelfVIO: Self-supervised deep monocular Visual\u2013Inertial Odometry and depth estimationAtıf 111 · OpenAlex
  2. 2024 A multi-stage localization framework for accurate and precise docking of autonomous mobile robots (AMRs)Atıf 7 · OpenAlex
  3. 2024 A multi-stage localization framework for accurate and precise docking of autonomous mobile robots (AMRs)Atıf 7 · OpenAlex

Yazarlar

5
  1. YASİN ALMALIOĞLU 1
  2. MEHMET TURAN BOĞAZİÇİ ÜNİVERSİTESİ 2
  3. Chris Xiaoxuan Lu 3
  4. Niki Trigoni 4
  5. Andrew Markham 5