Results 41 to 50 of about 20,432 (202)

Ultra-Wideband Aided Fast Localization and Mapping System

, 2017
This paper proposes an ultra-wideband (UWB) aided localization and mapping system that leverages on inertial sensor and depth camera. Inspired by the fact that visual odometry (VO) system, regardless of its accuracy in the short term, still faces ...
Nguyen, Thien-Minh, Wang, Chen, Xie, Lihua, Zhang, Handuo   +3 more
core   +1 more source

Indirect visual odometry with a light-field camera

Intelligent Systems with Applications
Visual odometry is the technique of determining a robot’s pose by analyzing images of its surroundings as it moves. Visual odometry can be categorized into monocular when using a single camera, or stereo when using two cameras or more.
Mohamad Al Assaad, Stéphane Bazeille, Christophe Cudel   +2 more
doaj   +1 more source

Using Unsupervised Deep Learning Technique for Monocular Visual Odometry

IEEE Access, 2019
Deep learning technique-based visual odometry systems have recently shown promising results compared to feature matching-based methods. However, deep learning-based systems still require the ground truth poses for training and the additional knowledge to
Qiang Liu, Ruihao Li, Huosheng Hu, Dongbing Gu   +3 more
doaj   +1 more source

Unsupervised Deep Learning-Based RGB-D Visual Odometry

Applied Sciences, 2020
Recently, deep learning frameworks have been deployed in visual odometry systems and achieved comparable results to traditional feature matching based systems.
Qiang Liu, Haidong Zhang, Yiming Xu, Li Wang   +3 more
doaj   +1 more source

Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry

, 2017
This work proposes a visual odometry method that combines points and plane primitives, extracted from a noisy depth camera. Depth measurement uncertainty is modelled and propagated through the extraction of geometric primitives to the frame-to-frame ...
D Gutierrez-Gomez, H Bay, K Khoshelham, K Pathak, P Henry   +4 more
core   +1 more source

Keyframe-based visual–inertial odometry using nonlinear optimization [PDF]

, 2014
Combining visual and inertial measurements has become popular in mobile robotics, since the two sensing modalities offer complementary characteristics that make them the ideal choice for accurate visual–inertial odometry or simultaneous localization and ...
Bosse, M, Furgale, P, Leutenegger, S, Lynen, S, Siegwart, R   +4 more
core   +1 more source

A Multi-Sensor Fusion MAV State Estimation from Long-Range Stereo, IMU, GPS and Barometric Sensors

Sensors, 2016
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping.
Yu Song, Stephen Nuske, Sebastian Scherer   +2 more
doaj   +1 more source

Low drift visual inertial odometry with UWB aided for indoor localization

IET Communications, 2022
Visual inertial odometry (VIO) would have an estimation drift problem in the process of long trajectory for indoor localization, especially in the absence of loop detection or in unknown complex scenes.
Bo Gao, Baowang Lian, Dongjia Wang, Chengkai Tang   +3 more
doaj   +1 more source

CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR

, 2017
We introduce a novel method for odometry estimation using convolutional neural networks from 3D LiDAR scans. The original sparse data are encoded into 2D matrices for the training of proposed networks and for the prediction.
Herout, Adam, Hradis, Michal, Spanel, Michal, Velas, Martin   +3 more
core   +1 more source

Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty

, 2017
Progress towards advanced systems for assisted and autonomous driving is leveraging recent advances in recognition and segmentation methods. Yet, we are still facing challenges in bringing reliable driving to inner cities, as those are composed of highly
Bhattacharyya, Apratim, Fritz, Mario, Schiele, Bernt   +2 more
core   +1 more source