Results 51 to 60 of about 200,418 (165)
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
The accuracy analysis of the Visual-SLAM and LiDAR-SLAM methods: A case study [PDF]
Simultaneous Localisation and Mapping (SLAM) is a technique that allows a vehicle to determine its location and map its surroundings simultaneously.
Kaya, Emirhan +4 more
core +1 more source
Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments
Sensors, 2021 Accurate localization and reliable mapping is essential for autonomous navigation of robots. As one of the core technologies for autonomous navigation, Simultaneous Localization and Mapping (SLAM) has attracted widespread attention in recent decades ...
Xiangwei Dang +2 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
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
Enabling Multi-LiDAR Sensing in GNSS-Denied Environments: SLAM Dataset, Benchmark, and UAV Tracking with LiDAR-as-a-camera [PDF]
, 2023 The rise of Light Detection and Ranging (LiDAR) sensors has profoundly impacted industries ranging from automotive to urban planning. As these sensors become increasingly affordable and compact, their applications are diversifying, driving precision ...
Ha, Sier
core
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
Segment-Based SLAM Registration Optimization Algorithm Combining NDT and PL-ICP
SensorsWith the continuous advancement of LiDAR technology, solid-state LiDAR, with its low cost and unique scanning mode, shows great potential in measurement applications.
Yi Zhang +5 more
doaj +1 more source
Findings from a Combined Subsea LiDAR and Multibeam Survey at Kingston Reef, Western Australia
Remote Sensing, 2020 Light Detection and Ranging (LiDAR), a comparatively new technology in the field of underwater surveying, has principally been used for taking precise measurement of undersea structures in the oil and gas industry.
Simon Collings +8 more
doaj +1 more source
SmartBot, EarlyView.Conventional industrial robots rely on predefined workflows and struggle to adapt to changing tasks and uncertain manufacturing environments. This review examines the development and key technologies of embodied intelligent industrial robots (EIIRs), highlighting a closed‐loop architecture that integrates human and industrial inputs, embodied ...
Jie Wang +7 more
wiley +1 more source