Results 71 to 80 of about 2,723 (200)

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, Volume 43, Issue 4, Page 2553-2584, June 2026.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Efficient and Accurate Downfacing Visual–Inertial Odometry

IEEE Internet of Things Journal
Visual Inertial Odometry (VIO) is a widely used computer vision method that determines an agent's movement through a camera and an IMU sensor. This paper presents an efficient and accurate VIO pipeline optimized for applications on micro- and nano-UAVs. The proposed design incorporates state-of-the-art feature detection and tracking methods (SuperPoint,
Jonas Kühne, Christian Vogt 0002, Michele Magno, Luca Benini   +3 more
openaire   +3 more sources

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, Stefan Leutenegger, Roland Siegwart, Leutenegger, S, Lynen, S, Simon Lynen, Furgale, P, Michael Bosse, Paul Furgale, Siegwart, R   +9 more
core   +1 more source

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

Remote 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, Qiang Gao, Yue Xu, Jianfeng Li, Zhang Deng, Cong Li   +5 more
doaj   +1 more source

ACK-MSCKF: Tightly-Coupled Ackermann Multi-State Constraint Kalman Filter for Autonomous Vehicle Localization

Sensors, 2019
Visual-Inertial Odometry (VIO) is subjected to additional unobservable directions under the special motions of ground vehicles, resulting in larger pose estimation errors. To address this problem, a tightly-coupled Ackermann visual-inertial odometry (ACK-
Fangwu Ma, Jinzhu Shi, Yu Yang, Jinhang Li, Kai Dai   +4 more
doaj   +1 more source

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

SmartBot, Volume 2, Issue 2, June 2026.
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, Yixin Zhu, Mingxia Bao, Ting Zhang, Jun Wu, Jingbin Hao, Dezheng Hua, Xinhua Liu   +7 more
wiley   +1 more source

A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 784-797, June 2026.
ABSTRACT In this paper, to deal with the dynamic SLAM problem, we investigate feature tracking and IMU preintegration in visual‐inertial odometry (VIO) and design a robust SLAM framework that explicitly considers robot self‐dynamics. We propose a self‐dynamics and IMU‐aided feature tracker to predict initial optical flow and an iterative refinement ...
Junyin Qiu, Hong Liu, Tianwei Zhang
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

An Integrated Algorithm Fusing UWB Ranging Positioning and Visual–Inertial Information for Unmanned Vehicles

Remote Sensing
During the execution of autonomous tasks within sheltered space environments, unmanned vehicles demand highly precise and seamless continuous positioning capabilities.
Shuang Li, Lihui Wang, Baoguo Yu, Xiaohu Liang, Shitong Du, Yifan Li, Zihan Yang   +6 more
doaj   +1 more source