Seeing Nearby 3D Scenes using Ultrasonic Sensors

被引:0
|
作者
Shimoyama, Daina [1 ]
Sakaue, Fumihiko [1 ]
Kumano, Shunya [2 ]
Koyama, Yu [2 ]
Matsuura, Mitsuyasu [2 ]
Sato, Jun [1 ]
机构
[1] Nagoya Inst Technol, Showa Ku, Nagoya, Aichi 4668555, Japan
[2] SOKEN INC, Nisshin, Aichi 4700111, Japan
来源
2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2022年
关键词
DISTANCE MEASUREMENT;
D O I
10.1109/IV51971.2022.9827129
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The ultrasonic sensors are widely used for vehicles to extract obstacles in the scene. They can obtain the distance to the object directly at a low cost even in harsh environments. However, since the information from a single ultrasonic sensor is very limited, it has not been used for recovering the detailed 3D structure and semantic labels of the scene, unlike in-vehicle cameras or LiDARs. Therefore, we in this paper propose a method for recovering the dense 3D structure and semantic labels of the scene from a moving ultrasonic sensor mounted on a vehicle. Our method uses the raw profiles of the ultrasonic sensor signals and learns the relationship between the raw ultrasonic signals and the 3D scene using multi-task learning. As a result, our method can recover the dense 3D structure and semantic labels of the scene similar to what we would recover with cameras and LiDARs just from a single moving ultrasonic sensor. The efficiency of the proposed method is tested using real sensor data as well as synthetic sensor data.
引用
收藏
页码:1387 / 1392
页数:6
相关论文
共 50 条
  • [31] Seeing bone damage in 3D
    Fyhrie, David R.
    JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2008, 16 (01) : 58 - 58
  • [32] Seeing Other Minds in 3D
    Saxe, Rebecca
    TRENDS IN COGNITIVE SCIENCES, 2018, 22 (03) : 193 - 195
  • [33] Seeing and measuring in 3D with electrons
    Bals, Sara
    Goris, Bart
    Altantzis, Thomas
    Heidari, Hamed
    Van Aert, Sandra
    Van Tendeloo, Gustaaf
    COMPTES RENDUS PHYSIQUE, 2014, 15 (2-3) : 140 - 150
  • [34] Reverse engineering using optical 3D sensors
    Schonfeld, H
    Hausler, G
    Karbacher, S
    THREE-DIMENSIONAL IMAGE CAPTURE AND APPLICATIONS, 1998, 3313 : 115 - 125
  • [35] Hand Gesture Recognition Using 3D Sensors
    Goga, Jozef
    Kajan, Slavomir
    PROCEEDINGS OF 2017 INTERNATIONAL SYMPOSIUM ELMAR, 2017, : 181 - 184
  • [36] Development of a 3D Controller Using LEDs and Sensors
    Leang, Jonathan
    Kim, Geonwoo
    Park, Matthew
    Wang, Wei-Chih
    PROCEEDINGS OF 2014 INTERNATIONAL SYMPOSIUM ON OPTOMECHATRONIC TECHNOLOGIES (ISOT), 2014, : 326 - 329
  • [37] Adaptive enhancement of 3D scenes using hierarchical registration of texture-mapped 3D models
    Ramalingam, S
    Lodha, SK
    FOURTH INTERNATIONAL CONFERENCE ON 3-D DIGITAL IMAGING AND MODELING, PROCEEDINGS, 2003, : 203 - 210
  • [38] 3D reconstruction of real world scenes using a low-cost 3D range scanner
    Dias, Paulo
    Matos, Miguel
    Santos, Vitor
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2006, 21 (07) : 486 - 497
  • [39] Multi-view 3D reconstruction and modeling of the unknown 3D scenes using genetic algorithms
    Mostafa Merras
    Abderrahim Saaidi
    Nabil El Akkad
    Khalid Satori
    Soft Computing, 2018, 22 : 6271 - 6289
  • [40] Multi-view 3D reconstruction and modeling of the unknown 3D scenes using genetic algorithms
    Merras, Mostafa
    Saaidi, Abderrahim
    El Akkad, Nabil
    Satori, Khalid
    SOFT COMPUTING, 2018, 22 (19) : 6271 - 6289