3D imaging from multipath temporal echoes
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Abstract (arXiv)
Echo-location is a broad approach to imaging and sensing that includes both man-made RADAR, LIDAR, SONAR and also animal navigation. However, full 3D information based on echo-location requires some form of scanning of the scene in order to provide the spatial location of the echo origin-points. Without this spatial information, imaging objects in 3D is a very challenging task as the inverse retrieval problem is strongly ill-posed. Here, we show that the temporal information encoded in the return echoes that are reflected multiple times within a scene is sufficient to faithfully render an image in 3D. Numerical modelling and an information theoretic perspective prove the concept and provide insight into the role of the multipath information. We experimentally demonstrate the concept by using both radio-frequency and acoustic waves for imaging individuals moving in a closed environment.
Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). First posted on arXiv 17 Nov 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 2.
5 papers.
- 2021Real-time, low-cost multi-person 3D pose estimationcited by 2
- 2023Single-pixel 3D imaging based on fusion temporal data of single photon detector and millimeter-wave radarcited by 1
- 2024Estimating Indoor Scene Depth Maps from Ultrasonic Echoescited by 0
- 2025Long-Distance Field Demonstration of Imaging-Free Drone Identification in Intracity Environmentscited by 0
- 2025Semantic Temporal Single-photon LiDARcited by 0
- 2025Semantic Temporal Single-photon LiDAR3 Dec 2025
- 2025Long-Distance Field Demonstration of Imaging-Free Drone Identification in Intracity Environments26 Apr 2025
- 2024Estimating Indoor Scene Depth Maps from Ultrasonic Echoes5 Sep 2024
- 2023Single-pixel 3D imaging based on fusion temporal data of single photon detector and millimeter-wave radar20 Oct 2023
- 2021Real-time, low-cost multi-person 3D pose estimation11 Oct 2021