Results 51 to 60 of about 6,675 (223)
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 +3 more
doaj +1 more source
Multisensor Data Fusion for Robust Pose Estimation of a Six-Legged Walking Robot
, 2011 For autonomous navigation tasks it is important that the robot always has a good estimate of its current pose with respect to its starting position and - in terms of orientation - with respect to the gravity vector.
Chilian, Annett +5 more
core +1 more source
Indirect visual odometry with a light-field camera
Intelligent Systems with ApplicationsVisual 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 +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 +3 more
doaj +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 +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 +3 more
doaj +1 more source
High altitude stereo visual odometry
, 2013 Stereo visual odometry has received little investigation in high altitude applications due to the generally poor performance of rigid stereo rigs at extremely small baseline-to-depth ratios. Without additional sensing, metric scale is considered lost and
Warren, Michael +3 more
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Standalone and embedded stereo visual odometry based navigation solution [PDF]
, 2015 © Cranfield University, 2014This thesis investigates techniques and designs an autonomous visual stereo based navigation sensor to improve stereo visual odometry for purpose of navigation in unknown environments. In particular, autonomous navigation in a
Chermak, Lounis
core
Visual Prediction of Rover Slip: Learning Algorithms and Field Experiments [PDF]
, 2008 Perception of the surrounding environment is an essential tool for intelligent navigation in any autonomous vehicle. In the context of Mars exploration, there is a strong motivation to enhance the perception of the rovers beyond geometry-based obstacle ...
Angelova, Anelia Nedelcheva
core +1 more source