Results 41 to 50 of about 1,309 (133)

Linear System Identification and Control of a Low‐Cost High‐Performance Omnidirectional Marine Surface Vehicle for Swarming Applications

Journal of Field Robotics, EarlyView.
ABSTRACT Marine operations traditionally rely on human intervention, a costly and disruptive method. Autonomous surface vehicles (ASVs) offer a powerful alternative, capable of operating autonomously, for extended periods, and with various sensors for various missions.
Ayman El Qemmah, Gianni Cario, Alessandro Casavola, Marco Lupia, Francesco Tedesco   +4 more
wiley   +1 more source

Representation Learning for Place Recognition Using MIMO Radar

IEEE Open Journal of Intelligent Transportation Systems
Traditional radar perception often rely on point clouds derived from radar heatmap using CFAR filtering, which can result in the loss of valuable information, especially weaker signals crucial for accurate perception.
Prashant Kumar Rai, Nataliya Strokina, Reza Ghabcheloo   +2 more
doaj   +1 more source

MAV Localization in Large-Scale Environments: A Decoupled Optimization/Filtering Approach

Sensors, 2023
Developing new sensor fusion algorithms has become indispensable to tackle the daunting problem of GPS-aided micro aerial vehicle (MAV) localization in large-scale landscapes.
Abanob Soliman, Hicham Hadj-Abdelkader, Fabien Bonardi, Samia Bouchafa, Désiré Sidibé   +4 more
doaj   +1 more source

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

Journal of Field Robotics, EarlyView.
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall, Ori Lifschitz, Tali Treibitz   +2 more
wiley   +1 more source

Extended Kalman Filter-Based 2D Pose Estimation for Omnidirectional Mecanum Robots via Sensor Fusion: A SO(2) Lie Group Formulation

Engineering Proceedings
This article presents a 2D pose estimation method for an omnidirectional mobile robot with Mecanum wheels, using an extended Kalman filter (EKF) formulated on the Lie group SO(2).
Dayanara Tata, William Chamorro, Diego Maldonado, Ronald Pillajo   +3 more
doaj   +1 more source

Stair‐Climbing Wheelchairs for Enhanced Mobility: A Comprehensive Review of Fundamental Mechanisms, Design Concepts, and Performance Analysis

Journal of Field Robotics, EarlyView.
ABSTRACT People with physical disabilities face significant mobility challenges while climbing uneven surfaces and staircases. In these circumstances, traditional wheelchairs do not provide stable, safely controlled mobility, underscoring the importance of building superior stair‐climbing wheelchairs for both medical and infrastructure purposes.
Gopisetti Manikanta, S. M. Abhinandan, Anand Reddy, G. Chandana, Divya, P. Anil Kumar, Ch. Venkata Rao, Ashish Garg, Ravi C. Soni, Jogendra Kumar, Bhargav Akkinepally   +10 more
wiley   +1 more source

Deep Patch Visual Odometry

Advances in Neural Information Processing Systems 36, 2023
We propose Deep Patch Visual Odometry (DPVO), a new deep learning system for monocular Visual Odometry (VO). DPVO uses a novel recurrent network architecture designed for tracking image patches across time. Recent approaches to VO have significantly improved the state-of-the-art accuracy by using deep networks to predict dense flow between video frames.
Zachary Teed, Lahav Lipson, Jia Deng 0001   +2 more
openaire   +3 more sources

Online Mapping from Weight Matching Odometry and Highly Dynamic Point Cloud Filtering via Pseudo-Occupancy Grid

Sensors
Efficient locomotion in autonomous driving and robotics requires clearer visualization and more precise map. This paper presents a high accuracy online mapping including weight matching LiDAR-IMU-GNSS odometry and an object-level highly dynamic point ...
Xin Zhao, Xingyu Cao, Meng Ding, Da Jiang, Chao Wei   +4 more
doaj   +1 more source

A Mobile Robot Position Adjustment as a Fusion of Vision System and Wheels Odometry in Autonomous Track Driving

Applied Sciences, 2021
Autonomous mobile vehicles need advanced systems to determine their exact position in a certain coordinate system. For this purpose, the GPS and the vision system are the most often used. These systems have some disadvantages, for example, the GPS signal
Jarosław Zwierzchowski, Dawid Pietrala, Jan Napieralski, Andrzej Napieralski   +3 more
doaj   +1 more source

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

Journal of Field Robotics, EarlyView.
ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives to traditional pyrotechnics.
Yunes Alqudsi
wiley   +1 more source