Road surface 3D reconstruction based on dense subpixel disparity map estimation
Various 3D reconstruction methods have enabled civil engineers to detect damage on a
road surface. To achieve the millimeter accuracy required for road condition assessment, a …
road surface. To achieve the millimeter accuracy required for road condition assessment, a …
A joint optimization approach of lidar-camera fusion for accurate dense 3-d reconstructions
Fusing data from LiDAR and camera is conceptually attractive because of their
complementary properties. For instance, camera images are of higher resolution and have …
complementary properties. For instance, camera images are of higher resolution and have …
High-resolution lidar-based depth mapping using bilateral filter
High resolution depth-maps, obtained by upsampling sparse range data from a 3D-LIDAR,
find applications in many fields ranging from sensory perception to semantic segmentation …
find applications in many fields ranging from sensory perception to semantic segmentation …
[图书][B] Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV
The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed
proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in …
proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in …
LiDeNeRF: Neural radiance field reconstruction with depth prior provided by LiDAR point cloud
Abstract Neural Radiance Fields (NeRF) is a technique for reconstructing real-world scenes
from multiple views. However, existing methods mostly focus on the visual effects of scene …
from multiple views. However, existing methods mostly focus on the visual effects of scene …
Real-time dense map fusion for stereo SLAM
A robot should be able to estimate an accurate and dense 3D model of its environment (a
map), along with its pose relative to it, all of it in real time, in order to be able to navigate …
map), along with its pose relative to it, all of it in real time, in order to be able to navigate …
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion
Stereo matching has emerged as a cost-effective solution for road surface 3D reconstruction,
garnering significant attention towards improving both computational efficiency and …
garnering significant attention towards improving both computational efficiency and …
Joint object-material category segmentation from audio-visual cues
It is not always possible to recognise objects and infer material properties for a scene from
visual cues alone, since objects can look visually similar whilst being made of very different …
visual cues alone, since objects can look visually similar whilst being made of very different …
A unified model for line projections in catadioptric cameras with rotationally symmetric mirrors
P Miraldo, JP Iglesias - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Lines are among the most used computer vision features, in applications such as camera
calibration to object detection. Catadioptric cameras with rotationally symmetric mirrors are …
calibration to object detection. Catadioptric cameras with rotationally symmetric mirrors are …
Fusion of stereo and lidar data for dense depth map computation
H Courtois, N Aouf - … of Unmanned Aerial Systems (RED-UAS), 2017 - ieeexplore.ieee.org
Creating a map is a necessity in a lot of robotic applications, and depth maps are a way to
estimate the position of other objects or obstacles. In this paper, an algorithm to compute …
estimate the position of other objects or obstacles. In this paper, an algorithm to compute …