Results 31 to 40 of about 55,943 (277)
A visual compass based on SLAM [PDF]
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006 Accurate full 3 axis orientation is computed using a low cost calibrated camera. We present a simultaneous sensor location and mapping method that uses a purely rotating camera as sensor and distant points, ideally at infinity, as features. A smooth constant angular velocity pure rotation motion model codifies the camera location.
J. M. M. Montiel, Andrew J. Davison
openaire +1 more source
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 CVPR 2021, extended ...
Péter Karkus, Shaojun Cai, David Hsu
openaire +2 more sources
An Efficient Index for Visual Search in Appearance-based SLAM [PDF]
, 2013 Vector-quantization can be a computationally expensive step in visual bag-of-words (BoW) search when the vocabulary is large. A BoW-based appearance SLAM needs to tackle this problem for an efficient real-time operation. We propose an effective method to
Hajebi, Kiana, Zhang, Hong
core +1 more source
Real-Time Dynamic SLAM Algorithm Based on Deep Learning
IEEE Access, 2022 In the traditional visual simultaneous localization and mapping (SLAM), the strong static assumption leads to a large degradation in the accuracy of visual SLAM in dynamic environments.
Peng Su, Suyun Luo, Xiaoci Huang
doaj +1 more source
A Survey of Visual SLAM Methods
IEEE Access, 2023 In the evolving landscape of modern robotics, Visual SLAM (V-SLAM) has emerged over the past two decades as a powerful tool, empowering robots with the ability to navigate and map their surroundings. While these methods are traditionally confined to static environments, there has been a growing interest in developing V-SLAM to handle dynamic and ...
Ali Rida Sahili +6 more
openaire +2 more sources
Data-Efficient Decentralized Visual SLAM [PDF]
, 2017 Decentralized visual simultaneous localization and mapping (SLAM) is a powerful tool for multi-robot applications in environments where absolute positioning systems are not available.
Choudhary, Siddharth +2 more
core +1 more source
Privacy Preserving Visual SLAM [PDF]
, 2020 ECCV2020, Project: https://xdspacelab.github.io/lcvslam/ , Video: https://youtu.be ...
Mikiya Shibuya +2 more
openaire +2 more sources
KEYFRAME-BASED VISUAL-INERTIAL SLAM USING NONLINEAR OPTIMIZATION [PDF]
, 2013 —The fusion of visual and inertial cues has become popular in robotics due to the complementary nature of the two sensing modalities. While most fusion strategies to date rely on filtering schemes, the visual robotics community has recently turned to non-
Chli, Margarita +5 more
core +2 more sources
Cooperative monocular-based SLAM for multi-UAV systems in GPS-denied environments [PDF]
, 2018 This work presents a cooperative monocular-based SLAM approach for multi-UAV systems that can operate in GPS-denied environments. The main contribution of the work is to show that, using visual information obtained from monocular cameras mounted onboard ...
Grau Saldes, Antoni +3 more
core +3 more sources
SOF-SLAM: A Semantic Visual SLAM for Dynamic Environments [PDF]
IEEE Access, 2019 Simultaneous Localization and Mapping (SLAM) plays an important role in the computer vision and robotics field. The traditional SLAM framework adopts a strong static world assumption for analysis convenience. How to cope with dynamic environments is of vital importance and attracts more attentions.
Linyan Cui, Chaowei Ma
openaire +2 more sources