Review on panoramic imaging and its applications in scene understanding
With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …
technologies, human perception of real-world scenes is no longer limited to the use of small …
M2dgr: A multi-sensor and multi-scenario slam dataset for ground robots
We introduce M2DGR: a novel large-scale dataset collected by a ground robot with a full
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
3D reconstruction of spherical images: a review of techniques, applications, and prospects
ABSTRACT 3D reconstruction plays an increasingly important role in modern
photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) …
photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) …
[HTML][HTML] Microdrone-based indoor mapping with graph slam
Unmanned aerial vehicles offer a safe and fast approach to the production of three-
dimensional spatial data on the surrounding space. In this article, we present a low-cost …
dimensional spatial data on the surrounding space. In this article, we present a low-cost …
POS-GIFT: A geometric and intensity-invariant feature transformation for multimodal images
Multimodal image matching suffers from severe geometric and nonlinear intensity distortion
(NID). Towards this problem, we propose a multimodal image matching algorithm based on …
(NID). Towards this problem, we propose a multimodal image matching algorithm based on …
A large-scale homography benchmark
We present a large-scale dataset of Planes in 3D, Pi3D, of roughly 1000 planes observed in
10 000 images from the 1DSfM dataset, and HEB, a large-scale homography estimation …
10 000 images from the 1DSfM dataset, and HEB, a large-scale homography estimation …
Improving autonomous detection in dynamic environments with robust monocular thermal SLAM system
Y Wu, L Wang, L Zhang, Y Bai, Y Cai, S Wang… - ISPRS Journal of …, 2023 - Elsevier
Thermal SLAM outperforms visual SLAM under conditions of nighttime, low visibility (eg, fog,
smoke, and dust), and direct glare. However, the unique non-uniformity correction for …
smoke, and dust), and direct glare. However, the unique non-uniformity correction for …
[HTML][HTML] Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environments
Simultaneous localization and mapping (SLAM) is the essential technique in mapping
environments that are denied to the global navigation satellite systems (GNSSs), such as …
environments that are denied to the global navigation satellite systems (GNSSs), such as …
Bamf-slam: bundle adjusted multi-fisheye visual-inertial slam using recurrent field transforms
In this paper, we present BAMF-SLAM, a novel multi-fisheye visual-inertial SLAM system that
utilizes Bundle Adjustment (BA) and recurrent field transforms (RFT) to achieve accurate and …
utilizes Bundle Adjustment (BA) and recurrent field transforms (RFT) to achieve accurate and …
Improving synthetic 3D model-aided indoor image localization via domain adaptation
Although the deep learning-based indoor image localization has made significant
improvement in terms of accuracy, efficiency, and storage requirement of large indoor …
improvement in terms of accuracy, efficiency, and storage requirement of large indoor …