Results 41 to 50 of about 200,418 (165)

LOFF: LiDAR and Optical Flow Fusion Odometry

Drones
Simultaneous Location and Mapping (SLAM) is a common algorithm for position estimation in GNSS-denied environments. However, the high structural consistency and low lighting conditions in tunnel environments pose challenges for traditional visual SLAM ...
Junrui Zhang, Zhongbo Huang, Xingbao Zhu, Fenghe Guo, Chenyang Sun, Quanxi Zhan, Runjie Shen   +6 more
doaj   +1 more source

LiDAR SLAM Global Positioning Uncertainty Estimation Based on Lie Group and MHSS theory [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
LiDAR based simultaneous localization and mapping (SLAM) plays an important role for real-time localization and 3D mobile mapping of autonomous systems. However, the long-term scan-to-scan matching in the SLAM can introduce uncertainty into the position ...
M. Liu, H. Zhang, B. Li, Z. Zhao
doaj   +1 more source

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

Journal of Field Robotics, EarlyView.
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, Ori Lifschitz, Tali Treibitz   +2 more
wiley   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

Journal of Field Robotics, EarlyView.
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, Markus Murschitz, Matthias Schörghuber, Lukas Reisinger, Thomas Kadiofsky, Christoph Weidinger, Mario Niedermeyer, Benedikt Widy, Marcel Zeilinger, Csaba Beleznai, Tobias Glück, Andreas Kugi, Patrik Zips   +12 more
wiley   +1 more source

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

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

Perbandingan Survei LiDAR Menggunakan Wahana Drone dan Handheld-SLAM Untuk Analisa Tree Trunk dan Tree Crown

Journal of Geospatial Information Science and Engineering
Rekonstruksi 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

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

A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device

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, Chenhui Shi, Jun Chen, Ruisheng Wang, Zhiyuan Yang, Fan Zhang, Jianhua Gong   +6 more
doaj   +1 more source

A SLAM System with Direct Velocity Estimation for Mechanical and Solid-State LiDARs

Remote Sensing, 2022
Simultaneous localization and mapping (SLAM) is essential for intelligent robots operating in unknown environments. However, existing algorithms are typically developed for specific types of solid-state LiDARs, leading to weak feature representation ...
Lu Jie, Zhi Jin, Jinping Wang, Letian Zhang, Xiaojun Tan   +4 more
doaj   +1 more source