Results 131 to 140 of about 22,677 (288)

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

Sistema LIDAR : light detection and ranging - Mantenimiento de los sistemas LIDAR

, 2017
Fil: Ristori, Pablo Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Científicas y Técnicas para la Defensa. Centro de Investigación en Láseres y Aplicaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas.
Barbero, Albane, Papandrea, Sebastián, Ristori, Pablo Roberto   +2 more
openaire   +1 more source

Robotics for Crop Pollination: Recent Advances and Future Direction

Journal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota, Matthew D. Whiting, Dawood Ahmed, Manoj Karkee   +3 more
wiley   +1 more source

UAV‐Based Precision Seed Dropping for Automated Reforestation

Journal of Field Robotics, EarlyView.
ABSTRACT Wildfires and deforestation pose significant threats to forest ecosystems, motivating scalable methods for reforestation beyond labor‐intensive cultivation of native forest seedlings in nurseries. To enable large‐scale direct seeding of native species, this paper presents the design, analysis, and field evaluation of a UAV‐based seed‐dropping ...
Qi Rui Lee, Henrik Hesse, Khuanphirom Naruangsri, Worayut Takaew, Stephen Elliott, Dinesh Bhatia   +5 more
wiley   +1 more source

Indoor UAV for Nuclear Investigation: Experimental Qualification and Field Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Indoor Unmanned Aerial Vehicles (UAVs) have recently gained interest for inspection and investigation tasks in hazardous environments. In the nuclear field, indoor UAVs offer promising capabilities to reduce workers' exposure to ionizing radiation while accessing confined or elevated areas.
Jérémy Seyssaud, Marie Cuozzo, Julien Favrichon, Benjamin Catania, Eric Cantrel, Tadec Marraine, Jérôme Boch   +6 more
wiley   +1 more source

Evaluating Pose Estimation Uncertainty From Automatic Point Cloud Registration in Multi‐Sensor Robotic Systems

Journal of Field Robotics, EarlyView.
ABSTRACT The poses derived from automatic point cloud registration between stationary laser scans that occur naturally in robotic multi‐sensor systems operating in stop‐and‐go mode have the potential to greatly improve and aid localization and trajectory estimation.
Max Brandstätter, Markus Mikschi, Jelena Gabela, Finn Linzer, Hans Neuner   +4 more
wiley   +1 more source

Advancements in short-wave (SWIR) light detection and ranging (LiDAR) technology: Flash and scanning LiDAR systems

Light Detection And Ranging (LiDAR) technology continues to gain significance across various industries, including autonomous vehicles, surveying, mapping, and defense. The demand for precise 3D spatial data necessitates active sensing methods.
Wei, Ming
core  

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Identification of initial vegetation and habitat changes in small temperate fens using remote sensing

Remote Sensing in Ecology and Conservation, EarlyView.
Temperate fens with only incipient, subtle signs of deterioration can be reliably identified using Sentinel‐2 and aerial imagery, which sensitively detect early productivity‐related structural changes. Abstract Small temperate fens rank among the most endangered habitats in temperate Europe.
Lubomír Tichý, Patricia Singh, Petra Hájková, Anna Müllerová, Tomáš Peterka, Zuzana Plesková, Karel Prach, Adéla Široká, Kamila Vítovcová, Michal Hájek   +9 more
wiley   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

Remote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin, Lauri Korhonen, Topi Tanhuanpää, Mikko Kukkonen, Matti Maltamo, Timo Kumpula   +5 more
wiley   +1 more source