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A comprehensive review on 3D object detection and 6D pose estimation with deep learning
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …
A vision-based displacement measurement system for foundation pit
The early displacement monitoring of excavation pits is currently a primary method to
prevent pit collapse accidents. However, conventional pit displacement monitoring mainly …
prevent pit collapse accidents. However, conventional pit displacement monitoring mainly …
Scalable 3D registration via truncated entry-wise absolute residuals
Given an input set of 3D point pairs the goal of outlier-robust 3D registration is to compute
some rotation and translation that align as many point pairs as possible. This is an important …
some rotation and translation that align as many point pairs as possible. This is an important …
[HTML][HTML] Deep learning for 6D pose estimation of objects—A case study for autonomous driving
Nowadays, the potential benefits and implementation of autonomous driving have attracted
widespread attention from both industry and academia. This study will solve view-invariant …
widespread attention from both industry and academia. This study will solve view-invariant …
Solving the blind perspective-n-point problem end-to-end with robust differentiable geometric optimization
Abstract Blind Perspective-n-Point (PnP) is the problem of estimating the position and
orientation of a camera relative to a scene, given 2D image points and 3D scene points …
orientation of a camera relative to a scene, given 2D image points and 3D scene points …
Fast and deterministic (3+ 1) DOF point set registration with gravity prior
Point set registration is the technology used to estimate the spatial transformation between
two LiDAR scans, which is challenging in the presence of outlier correspondences and …
two LiDAR scans, which is challenging in the presence of outlier correspondences and …
Monocular camera localization in prior lidar maps with 2d-3d line correspondences
Light-weight camera localization in existing maps is essential for vision-based navigation.
Currently, visual and visual-inertial odometry (VO&VIO) techniques are well-developed for …
Currently, visual and visual-inertial odometry (VO&VIO) techniques are well-developed for …
Fully geometric panoramic localization
We introduce a lightweight and accurate localization method that only utilizes the geometry
of 2D-3D lines. Given a pre-captured 3D map our approach localizes a panorama image …
of 2D-3D lines. Given a pre-captured 3D map our approach localizes a panorama image …
I2d-loc: Camera localization via image to lidar depth flow
Accurate camera localization in existing LiDAR maps is promising since it potentially allows
exploiting strengths of both LiDAR-based and camera-based methods. However, effective …
exploiting strengths of both LiDAR-based and camera-based methods. However, effective …
Globally-optimal contrast maximisation for event cameras
Event cameras are bio-inspired sensors that perform well in challenging illumination
conditions and have high temporal resolution. However, their concept is fundamentally …
conditions and have high temporal resolution. However, their concept is fundamentally …