Results 111 to 120 of about 2,144,657 (230)
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 +6 more
wiley +1 more source
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 +4 more
wiley +1 more source
Research status and development trends of SLAM technology in autonomous mining field
Gong-kuang zidonghuaAutonomous driving is identified as one of the key technologies for mining intelligence, with simultaneous localization and mapping (SLAM) technology serving as a key link to realize autonomous driving.
CUI Shaoyun +7 more
doaj +1 more source
Acoustic–Visual Sensor Fusion for Robot Localization in Buried Pipes
Journal of Field Robotics, EarlyView.ABSTRACT Autonomous, untethered robots require robust localization algorithms to perform tasks such as inspection and monitoring in buried pipes. This task is challenging due to environmental constraints, such as the absence of a global positioning system underground and limited visual perception.
Rob Worley +4 more
wiley +1 more source
RGB-D Visual Simultaneous Localization and Mapping (SLAM) Application
, 2019 Simultaneous localization and mapping (SLAM), as one of the important techniques for navigation, robotic mapping and odometry, has been paid a lot of attention by both academia and industry.
Wang, Weihan
core
A multi-sensor fusion simultaneous localization and mapping algorithm suitable for coal mines
Meikuang AnquanSimultaneous localization and mapping (SLAM) is a key technology to achieve coal mine intellectualization, but its usage is restricted in underground coal mines due to feature degradation.
Mingyang GAO +3 more
doaj +1 more source
Drift‐Corrected Monocular VIO and Perception‐Aware Planning for Autonomous Drone Racing
Journal of Field Robotics, EarlyView.ABSTRACT The Abu Dhabi Autonomous Racing League (A2RL) x Drone Champions League (DCL) competition requires teams to perform high‐speed autonomous drone racing using only a single camera and a low‐quality inertial measurement unit—a minimal sensor set that mirrors expert human drone racing pilots.
Maulana Bisyir Azhari +4 more
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.This study demonstrates that the mobile laser scanning (MLS) sampling density required to reliably characterise vegetation structure increases with a site's structural complexity. Applying a five‐level acquisition framework across open woodland, closed forest and sub‐alpine woodland ecosystems, we found that longer scanning paths increased the ...
Johann Tiede +3 more
wiley +1 more source
DVI-SLAM: A Dual Visual Inertial SLAM Network
Recent deep learning based visual simultaneous localization and mapping (SLAM) methods have made significant progress. However, how to make full use of visual information as well as better integrate with inertial measurement unit (IMU) in visual SLAM has
Liu, Zhihua +5 more
core +1 more source
Local descriptors for visual SLAM
, 2007 We present a comparison of several local image descriptors in the context of visualSimultaneous Localization and Mapping (SLAM). In visual SLAM a set of points in theenvironment are extracted from images and used as landmarks.
Oscar Martinez Mozos (17573085) +3 more
core +2 more sources