Results 71 to 80 of about 4,275 (207)
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
Lidar-Based SLAM for AUtonomous Ferry [PDF]
, 2019 Denne masteroppgaven gir en oversikt over eksisterende lidarbasert SLAM-metoder somkan passe til en autonom ferge, beskriver et datainnsamlingseksperiment ved hjelp aven halvskala prototype-ferge og presenterer og analyserer SLAM-resultater ...
Ødven, Marius Strand
core
ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain With Ground Vehicle [PDF]
LiDAR-based SLAM is recognized as one effective method to offer localization guidance in rough environments. However, off-the-shelf LiDAR-based SLAM methods suffer from significant pose estimation drifts, particularly components relevant to the vertical ...
Song, Rui +7 more
core +1 more source
Journal of Geospatial Information Science and EngineeringRekonstruksi tiga dimensi pohon memiliki peran penting dalam berbagai bidang, seperti studi pengelolaan hutan, ekologi, perhitungan emisi karbon, serta aplikasi perencanaan perkotaan.
Putri Rahmadani
doaj +1 more source
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 +6 more
doaj +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 +7 more
openaire +2 more sources
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
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
SERail-SLAM: Semantic-Enhanced Railway LiDAR SLAM
MachinesReliable state estimation in railway environments presents significant challenges due to geometric degeneracy resulting from repetitive structural layouts and point cloud sparsity caused by high-speed motion. Conventional LiDAR-based SLAM systems frequently suffer from longitudinal drift and mapping artifacts when operating in such feature-scarce and ...
Weiwei Song +8 more
openaire +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Efficient autonomous navigation in complex and unstructured environments without pre‐existing maps remains a significant challenge for mobile robotics. Drawing inspiration from rodent neural architectures, this study proposes a brain‐mimetic mapless navigation framework for mobile robots.
Yishen Liao +3 more
wiley +1 more source