Results 51 to 60 of about 15,287 (197)

Terrestrial Cyborg Insects for Real‐Life Applications

Advanced Intelligent Systems, EarlyView.
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le, Lachlan Fitzgerald, Phuoc Thien Phan, Robbie Wilson, Christofer Clemente, Huu Duoc Nguyen, Hirotaka Sato, Hoang‐Phuong Phan, Peter Ross McAree, Thanh Nho Do, Tat Thang Vo‐Doan   +10 more
wiley   +1 more source

LOFF: LiDAR and Optical Flow Fusion Odometry

Drones
Simultaneous Location and Mapping (SLAM) is a common algorithm for position estimation in GNSS-denied environments. However, the high structural consistency and low lighting conditions in tunnel environments pose challenges for traditional visual SLAM ...
Junrui Zhang, Zhongbo Huang, Xingbao Zhu, Fenghe Guo, Chenyang Sun, Quanxi Zhan, Runjie Shen   +6 more
doaj   +1 more source

SLAM-based 3D outdoor reconstructions from lidar data [PDF]

, 2018
The use of depth (RGBD) cameras to reconstruct large outdoor environments is not feasible due to lighting conditions and low depth range. LIDAR sensors can be used instead. Most state of the art SLAM methods are devoted to indoor environments and depth
Caminal Colell, Ivan, Casas Pla, Josep Ramon, Royo Royo, Santiago   +2 more
core   +1 more source

Optical Flow Enables Hand Tracking With EyeGlove Low‐Cost Cameras in Confined Environments

Advanced Intelligent Systems, EarlyView.
A cost‐effective (<£150) hand‐wearable stereo vision system, EyeGlove, is proposed to support visual inspection in confined environments. The system integrates disjointed low‐cost cameras to enable dexterous camera manipulation and wearable display unit for real‐time interaction.
Erhui Sun, Xin Dong, Dragos Axinte, Andy Norton   +3 more
wiley   +1 more source

OverlapNet: Loop Closing for LiDAR-based SLAM

Robotics: Science and Systems XVI, 2020
Simultaneous localization and mapping (SLAM) is a fundamental capability required by most autonomous systems. In this paper, we address the problem of loop closing for SLAM based on 3D laser scans recorded by autonomous cars. Our approach utilizes a deep neural network exploiting different cues generated from LiDAR data for finding loop closures.
Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss   +7 more
openaire   +2 more sources

Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments

CoRR, 2021
This paper proposes a 3D LiDAR SLAM algorithm named Ground-SLAM, which exploits grounds in structured multi-floor environments to compress the pose drift mainly caused by LiDAR measurement bias. Ground-SLAM is developed based on the well-known pose graph optimization framework.
Xin Wei, Jixin Lv, Jie Sun, Shiliang Pu
openaire   +2 more sources

Consistent map building in petrochemical complexes for frefghter robots using SLAM based on GPS and LIDAR [PDF]

, 2018
The objective of this study was to achieve simultaneous localization and mapping (SLAM) of frefghter robots for petrochemical complexes. Consistency of the SLAM map is important because human operators compare the map with aerial images and identify ...
Amano, Hisanori, Fujita, Jun, Hamada, Ryunosuke, Kojima, Shotaro, Ohno, Kazunori, Okada, Yoshito, Shamsudin, Abu Ubaidah, Suzuki, Takahiro, Tadokoro, Satoshi, Westfechtel, Thomas   +9 more
core  

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

Advanced Intelligent Systems, EarlyView.
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

A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device

International Journal of Digital Earth, 2022
Simultaneous Localization and Mapping (SLAM) has been widely used in emergency response, self-driving and city-scale 3D mapping and navigation. Recent deep-learning based feature point extractors have demonstrated superior performance in dealing with the
Jing Li, Chenhui Shi, Jun Chen, Ruisheng Wang, Zhiyuan Yang, Fan Zhang, Jianhua Gong   +6 more
doaj   +1 more source

A SLAM System with Direct Velocity Estimation for Mechanical and Solid-State LiDARs

Remote Sensing, 2022
Simultaneous localization and mapping (SLAM) is essential for intelligent robots operating in unknown environments. However, existing algorithms are typically developed for specific types of solid-state LiDARs, leading to weak feature representation ...
Lu Jie, Zhi Jin, Jinping Wang, Letian Zhang, Xiaojun Tan   +4 more
doaj   +1 more source