Results 61 to 70 of about 20,476 (156)

Fast and Low-Drift Visual Odometry With Improved RANSAC-Based Outlier Removal Scheme for Intelligent Vehicles

open access: yesIEEE Access, 2022
Visual odometry estimates the ego-motion of a vehicle using only the input of a single or multiple cameras mounted on the vehicle. This paper focuses on the research of the stereo visual odometry system of intelligent vehicles, and discusses how to ...
Wenyan Ci   +4 more
doaj   +1 more source

The Evolution of Autonomous Systems for Planetary Cave Exploration: A Review

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The exploration of Subsurface Access Points (SAPs), such as lava tubes on the Moon and Mars, has gained significant interest due to their potential as stable environments shielded from surface radiation and temperature extremes. These sites are considered high‐value targets for detecting water and signs of ancient life, and assessing their ...
Sarah Swinton   +4 more
wiley   +1 more source

Robust Stereo Visual-Inertial Odometry Using Nonlinear Optimization

open access: yesSensors, 2019
The fusion of visual and inertial odometry has matured greatly due to the complementarity of the two sensors. However, the use of high-quality sensors and powerful processors in some applications is difficult due to size and cost limitations, and there ...
Shujun Ma   +3 more
doaj   +1 more source

Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review

open access: yesSmartBot, EarlyView.
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen   +7 more
wiley   +1 more source

Improved Multi-Sensor Fusion Dynamic Odometry Based on Neural Networks

open access: yesSensors
High-precision simultaneous localization and mapping (SLAM) in dynamic real-world environments plays a crucial role in autonomous robot navigation, self-driving cars, and drone control. To address this dynamic localization issue, in this paper, a dynamic
Lishu Luo, Fulun Peng, Longhui Dong
doaj   +1 more source

RGB-DSLAM Visual Odometry Optimization Algorithm

open access: yesJournal of Harbin University of Science and Technology, 2020
In view of the long time-consuming and poor precision of RGB-D SLAM algorithm in the field ofvisual SLAM,an implementation scheme of RGB-D SLAM visual odometry is proposed.
DONG Jing-wei, JIANG Yi-ming, HAN Zhi-yu
doaj   +1 more source

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng   +5 more
wiley   +1 more source

Stereo visual odometry by combining points and lines [PDF]

open access: yes, 2018
Poster presented at ICVSS2016: international Computer Vision Summer SchoolMost approaches to stereo visual odometry reconstruct the motion based on the tracking of point features along a sequence of images.
Gomez-Ojeda, Ruben   +1 more
core  

DPC-Net: Deep Pose Correction for Visual Localization

open access: yes, 2018
We present a novel method to fuse the power of deep networks with the computational efficiency of geometric and probabilistic localization algorithms. In contrast to other methods that completely replace a classical visual estimator with a deep network ...
Kelly, Jonathan, Peretroukhin, Valentin
core   +1 more source

Pose Estimation Based on Bidirectional Visual–Inertial Odometry with 3D LiDAR (BV-LIO)

open access: yesRemote Sensing
Due to the limitation of a single sensor such as only camera or only LiDAR, the Visual SLAM detects few effective features in the case of poor lighting or no texture.
Gang Peng   +5 more
doaj   +1 more source

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