Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency

被引：0
|
作者：
机构：
[1] Wang, Changhao
[2] Zhang, Guanwen
[3] Zhou, Wei
来源：
Zhang, Guanwen (guanwen.zh@nwpu.edu.cn) | 1600年 / Institute of Electrical and Electronics Engineers Inc.卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Conference article (CA)
引用
收藏
相关论文
共 50 条
  • [1] Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency
    Wang, Changhao
    Zhang, Guanwen
    Zhou, Wei
    2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2024, 2024, : 3984 - 3990
  • [2] Scale-Aware Visual-Inertial Depth Estimation and Odometry Using Monocular Self-Supervised Learning
    Lee, Chungkeun
    Kim, Changhyeon
    Kim, Pyojin
    Lee, Hyeonbeom
    Kim, H. Jin
    IEEE ACCESS, 2023, 11 : 24087 - 24102
  • [3] Self-supervised Monocular Depth Estimation with Uncertainty-aware Feature Enhancement and Depth Fusion
    Li, Jiahui
    Wang, Zhicheng
    Sun, Kaiwei
    2024 INTERNATIONAL CONFERENCE ON ELECTRONIC ENGINEERING AND INFORMATION SYSTEMS, EEISS 2024, 2024, : 55 - 61
  • [4] Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints
    Xiong, Mingkang
    Zhang, Zhenghong
    Zhong, Weilin
    Ji, Jinsheng
    Liu, Jiyuan
    Xiong, Huilin
    PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, : 963 - 969
  • [5] A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry
    Wagstaff, Brandon
    Wise, Emmett
    Kelly, Jonathan
    2022 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2022, : 1388 - 1395
  • [6] Self-supervised Pretraining and Finetuning for Monocular Depth and Visual Odometry
    Antsfeldi, Leonid
    Chidlovskii, Boris
    2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024), 2024, : 14669 - 14676
  • [7] Transformer-Based Self-Supervised Monocular Depth and Visual Odometry
    Zhao, Hongru
    Qiao, Xiuquan
    Ma, Yi
    Tafazolli, Rahim
    IEEE SENSORS JOURNAL, 2023, 23 (02) : 1436 - 1446
  • [8] Enhancing self-supervised monocular depth estimation with traditional visual odometry
    Andraghetti, Lorenzo
    Myriokefalitakis, Panteleimon
    Dovesi, Pier Luigi
    Luque, Belen
    Poggi, Matteo
    Pieropan, Alessandro
    Mattoccia, Stefano
    2019 INTERNATIONAL CONFERENCE ON 3D VISION (3DV 2019), 2019, : 424 - 433
  • [9] A self-supervised monocular odometry with visual-inertial and depth representations
    Zhao, Lingzhe
    Xiang, Tianyu
    Wang, Zhuping
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (06):
  • [10] A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry
    Lu, Yao
    Xu, Xiaoli
    Ding, Mingyu
    Lu, Zhiwu
    Xiang, Tao
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 2260 - 2268
12345