mlsanityData to 13 Oct 2026

Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Depth Sensors

arXiv 2403.10981 ↗First posted 16 Mar 2024cs.RO cs.CVcited by 0

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Abstract (arXiv)

Despite an emerging interest in MIMO radar, the utilization of its complementary strengths in combination with optical depth sensors has so far been limited to far-field applications, due to the challenges that arise from mutual sensor calibration in the near field. In fact, most related approaches in the autonomous industry propose target-based calibration methods using corner reflectors that have proven to be unsuitable for the near field. In contrast, we propose a novel, joint calibration approach for optical RGB-D sensors and MIMO radars that is designed to operate in the radar's near-field range, within decimeters from the sensors. Our pipeline consists of a bespoke calibration target, allowing for automatic target detection and localization, followed by the spatial calibration of the two sensor coordinate systems through target registration. We validate our approach using two different depth sensing technologies from the optical domain. The experiments show the efficiency and accuracy of our calibration for various target displacements, as well as its robustness of our localization in terms of signal ambiguities.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 8 of its 26 references that are in the map. First posted on arXiv 16 Mar 2024.

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8 of 26 references.

References · 8

  1. 2017Learning non-maximum suppressioncited by 113
  2. 2022Recovering 3D Human Mesh from Monocular Images: A Surveycited by 103
  3. 2019Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Eracited by 87
  4. 2022mmBody Benchmark: 3D Body Reconstruction Dataset and Analysis for Millimeter Wave Radarcited by 32
  5. 2022State of the Art in Dense Monocular Non-Rigid 3D Reconstructioncited by 30
  6. 2018Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Surveycited by 25
  7. 20233D Radar and Camera Co-Calibration: A Flexible and Accurate Method for Target-based Extrinsic Calibrationcited by 6
  8. 2022Spatiotemporal Calibration of 3D Millimetre-Wavelength Radar-Camera Pairscited by 5

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