Results 81 to 90 of about 12,075 (277)
Revealing the dark biodiversity around us through a national school‐based citizen science project
Abstract School‐based citizen science holds great potential for expanding biodiversity knowledge while engaging young people in authentic scientific practices. This is particularly important for revealing ‘dark biodiversity’, defined as the vast yet often overlooked biodiversity that remains hidden due to its small size or cryptic nature, including ...
Juan Ignacio Ramirez +7 more
wiley +1 more source
Stereo Gaussian Splatting with Adaptive Scene Depth Estimation for Semantic Mapping
Simultaneous Localization and Mapping (SLAM) is a fundamental capability in robotics and augmented reality. However, achieving accurate geometric reconstruction and consistent semantic understanding in complex environments remains challenging.
Chenhui Fu, Jiangang Lu
doaj +1 more source
ABSTRACT Vascular dementia (VaD), accounting for up to 20% of dementia cases globally, is primarily driven by chronic cerebral hypoperfusion (CCH), which leads to progressive cognitive impairment. Despite the increasing prevalence of VaD, effective treatments remain limited.
Jung‐Hoon Kim, Yongtaek Oh, Suin Cho
wiley +1 more source
Simultaneous 2D Localization and 3D Mapping on a mobile Robot with Time-of-Flight Sensors [PDF]
The problem of building consistent maps of unknown environments is one greatest importance within the mobile robot community. Since the first successful attempts, the variety of solutions has grown larger.
Eck, Maximilian
core
FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets
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 +2 more
wiley +1 more source
Simultaneous localization and mapping (SLAM) has become a foundational concept in robotics navigation which enabling autonomous systems to build maps of unknown environments while estimating their own position.
Muhammad Haniff Gusrial +3 more
doaj +1 more source
ADAPT: An Autonomous Forklift for Construction Site Operation
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer +12 more
wiley +1 more source
Multi-modal Feature Fusion in RGB-LiDAR SLAM [PDF]
Simultaneous Localization and Mapping (SLAM) is a core technology for environmental perception and autonomous navigation in intelligent robots and autonomous driving.
Jing Haoyang
doaj +1 more source
Semantic visual simultaneous localization and mapping (SLAM) using deep learning for dynamic scenes. [PDF]
Zhang XY, Abd Rahman AH, Qamar F.
europepmc +1 more source
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

