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Simultaneous Localization and Mapping (SLAM) and Data Fusion in Unmanned Aerial Vehicles: Recent Advances and Challenges

Abhishek Gupta, Xavier Fernando
2022 Drones  
SLAM is envisioned as a potential technique for object detection and scene perception to enable UAV navigation through continuous state estimation.  ...  This article presents a survey of simultaneous localization and mapping (SLAM) and data fusion techniques for object detection and environmental scene perception in unmanned aerial vehicles (UAVs).  ...  UAV-based mobile mapping SLAM systems use LiDAR mounted on UAVs to scan confined spaces.  ... 
doi:10.3390/drones6040085 fatcat:abl72hadbze3tgwl3xysbcnpoq

Visual SLAM for Autonomous Drone Landing on a Maritime Platform

Thomas Dutrannois, Tien-Thanh Nguyen, Charles Hamesse, Geert De Cubber, Bart Janssens
2022 Zenodo  
This paper presents a visual Simultaneous Localization and Mapping (SLAM) method for real-time motion estimation of the UAV with respect to its confined landing area on a maritime platform during landing  ...  For safe operation, the relative motion between the UAV and the pitching and rolling deck of a moving ship must be estimated accurately and in real-time.  ...  Obstacle-free space perception: ultrasonic and laser scanner sensors are commonly used for obstacle detection.  ... 
doi:10.5281/zenodo.7074451 fatcat:3chtbg5vnff4fmzcmjtsaz77ny

The Design of Prometheus: A Reconfigurable UAV for Subterranean Mine Inspection

Liam Brown, Robert Clarke, Ali Akbari, Ujjar Bhandari, Sara Bernardini, Puneet Chhabra, Ognjen Marjanovic, Thomas Richardson, Simon Watson
2020 Robotics  
It details the design of a reconfigurable UAV that is able to be deployed through a 150 mm borehole and unfold to a tip-to-tip diameter of 780 mm, allowing it to carry a payload suitable for a full autonomous  ...  The inspection of legacy mine workings is a difficult, time consuming, costly task, as traditional methods require multiple boreholes to be drilled to allow sensors to be placed in the voids.  ...  Infrastructure Limited and Thales UK Limited.  ... 
doi:10.3390/robotics9040095 fatcat:iwvonbfxtrazrmagjhjfqtyoaa

NimbRo Explorer: Semiautonomous Exploration and Mobile Manipulation in Rough Terrain

Jörg Stückler, Max Schwarz, Mark Schadler, Angeliki Topalidou-Kyniazopoulou, Sven Behnke
2015 Journal of Field Robotics  
Our robot explores, maps, and navigates in previously unknown, uneven terrain using a 3D laser scanner and an omnidirectional RGB-D camera.  ...  To handle network communication interruptions and latencies between robot and operator station, we implemented a robust network layer for the middleware ROS.  ...  On the allocentric level, a 3D map of the environment is built through registration and SLAM of 3D laser scans of the environment.  ... 
doi:10.1002/rob.21592 fatcat:zk3ysojlgrf3xgk7svjrgsdoxy

Advanced perception, navigation and planning for autonomous in-water ship hull inspection

Franz S Hover, Ryan M Eustice, Ayoung Kim, Brendan Englot, Hordur Johannsson, Michael Kaess, John J Leonard
2012 The international journal of robotics research  
These divide into two classes, suitable for the open, forward parts of a typical monohull, and for the complex areas around the shafting, propellers and rudders.  ...  In this paper, we develop and apply algorithms for the central navigation and planning problems on ship hulls.  ...  Shurn and M. Elkins of Bluefin Robotics for their exceptional support of our experiments. We also gratefully acknowledge many helpful comments provided by the Reviewers.  ... 
doi:10.1177/0278364912461059 fatcat:na4ee2xk6zcujnk45zi3dts5xm

UAV in the advent of the twenties: Where we stand and what is next

F. Nex, C. Armenakis, M. Cramer, D.A. Cucci, M. Gerke, E. Honkavaara, A. Kukko, C. Persello, J. Skaloud
2022 ISPRS journal of photogrammetry and remote sensing (Print)  
The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions  ...  However, the development of best practices for high quality of UAV mapping are often overlooked representing a drawback for their wider adoption.  ...  Value Networks and Enabling Meaningful Experiences (UNITE) (decision no 337127) and the Finnish UAV Ecosystem (decision no 337018).  ... 
doi:10.1016/j.isprsjprs.2021.12.006 fatcat:2fes3xk5wrafxklh6y4skshqla

Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving

Guillaume Bresson, Zayed Alsayed, Li Yu, Sebastien Glaser
2017 IEEE Transactions on Intelligent Vehicles  
We first present the limits of classical approaches for autonomous driving and discuss the criteria that are essential for this kind of application.  ...  In this article, we propose a survey of the Simultaneous Localization And Mapping field when considering the recent evolution of autonomous driving.  ...  In [277] , a conceptual space representation is proposed based on three different maps: metric (from a SLAM system), navigation (free space) and topological (connections between door-separated areas).  ... 
doi:10.1109/tiv.2017.2749181 fatcat:ohjoahw24zakrmrleg6vogzg3q

Underground Utilities Imaging and Diagnosis [chapter]

Wallace Wai-Lok Lai
2021 The Urban Book Series  
First, it involves sending and retrieving mechanical robots to survey the internal confined spaces of utilities using careful system control and seamless communication electronics.  ...  In short, the very challenging nature and large demand for utility imaging and diagnostics have been gradually evolving from the traditional visual inspection to a new era of multi-disciplinary surveying  ...  For full-field utility imaging and diagnosis, the underground's confined space and its large volume of captured data require robots carrying sensors and electronics for seamless positionings, like an inertia  ... 
doi:10.1007/978-981-15-8983-6_24 fatcat:zfol7fgfvngybnlkwr2tkx2m34

FutureMapping: The Computational Structure of Spatial AI Systems [article]

Andrew J. Davison
2018 arXiv   pre-print
We discuss and predict the evolution of Simultaneous Localisation and Mapping (SLAM) into a general geometric and semantic 'Spatial AI' perception capability for intelligent embodied devices.  ...  Co-design of algorithms, processors and sensors will be needed.  ...  Acknowledgements This paper represents my personal opinions and musings, but has benefitted greatly from many discussions and collaborations over recent years.  ... 
arXiv:1803.11288v1 fatcat:7o2oqthloredtauxwvwkwtcj6e

Perception, Planning, Control, and Coordination for Autonomous Vehicles

Scott Pendleton, Hans Andersen, Xinxin Du, Xiaotong Shen, Malika Meghjani, You Eng, Daniela Rus, Marcelo Ang
2017 Machines  
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road  ...  efficiency, and positive impact on the environment.  ...  ., X.S. and H.A. contributed to the perception content; X.S. contributed to the vehicle cooperation content; All authors had input when writing other sections of the paper, including the introduction and  ... 
doi:10.3390/machines5010006 fatcat:24h5nl5quve6fpt2wtdyf4qafe

Awareness of Road Scene Participants for Autonomous Driving [chapter]

Anna Petrovskaya, Mathias Perrollaz, Luciano Oliveira, Luciano Spinello, Rudolph Triebel, Alexandros Makris, John-David Yoder, Christian Laugier, Urbano Nunes, Pierre Bessiere
2012 Handbook of Intelligent Vehicles  
This approach utilizes geometric object models and relies on non-parametric filters for inference. Finally, the third class is the grid based approach, which starts by constructing a low level grid  ...  This chapter describes detection and tracking of moving objects (DATMO) for purposes of autonomous driving.  ...  Fig. 5 shows an example of a virtual sensor, where a 3D scan is converted to a 2D scan.  ... 
doi:10.1007/978-0-85729-085-4_54 fatcat:lrnbnr4q5vbzrd3pausguhbhom

Autonomous Exploration of Urban Environments using Unmanned Aerial Vehicles

Benjamin Adler, Junhao Xiao, Jianwei Zhang
2014 Journal of Field Robotics  
Although being designed for application on airborne platforms in urban environments, it works directly on raw point clouds and thus can be used with any sensor generating spatial occupancy information  ...  It consists of a multicopter, an inertial navigation system and two 2D laser range finders.  ...  Still, for many real-world applications in the field, mapping an outdoor environment by simply defining a region of interest in 3D space and leaving the details of the procedure to an autonomous robot  ... 
doi:10.1002/rob.21526 fatcat:yinitlzrsbd3jgbigg6ump2xju

IPIN 2018 Ninth International Conference on Indoor Positioning and Indoor Navigation

2018 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
, Convex hull, Proper seeding, Guided iterative inflation With a view of robotic path planning inside any cluttered and confined indoor environment, a-priori generation of convex free-spaces offers additional  ...  For this, a long narrow hall was equipped with iBeacon infrastructure, an \indoors Navigation instance, and a few cheap Raspberry Pi based sensor stations.  ...  Especially in device-free localization systems, recording of reference measurements for fingerprinting is a tedious, costly, and error-prone task.  ... 
doi:10.1109/ipin.2018.8533737 fatcat:rv5zjhjytjaijcqgvvvpmbfjfa

Autonomous Advanced Aerial Mobility – An End-to-end Autonomy Framework for UAVs and Beyond [article]

Sakshi Mishra, Praveen Palanisamy
2023 arXiv   pre-print
Thereby, Autonomous Advanced Aerial Mobility is still a vague term and its consequences for researchers and professionals are ambiguous.  ...  that guides the research, design, and development efforts in the aerial autonomy space.  ...  We have proposed a customizable, modular, and extensible design paradigm that allows for building autonomy stack for different levels of autonomy and different types of aerial vehicles.  ... 
arXiv:2311.04472v2 fatcat:xz5jd4gkargojnwwnktmhwpbdy

Field Work's Optimization for the Digital Capture of Large University Campuses, Combining Various Techniques of Massive Point Capture

José Javier Pérez, María Senderos, Amaia Casado, Iñigo Leon
2022 Buildings  
The digitalization of the campuses is based on the analysis, evolution and optimization of LiDAR ALS points clouds captured by government bodies, which are open access and free.  ...  The research design is based on the Design Science Research (DSR) concept as a methodological approach to design the solutions generated by means of 3D models.  ...  It features a GrandSLAM sensor fusion of LiDAR, radar, cameras and GNSS for full scan coverage, plus optimized flight paths. It also has advanced obstacle avoidance for greater flight safety.  ... 
doi:10.3390/buildings12030380 fatcat:v67hh3jdgvbe5mztjsnprkm6yq
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