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A vision-based boundary following framework for aerial vehicles

Anqi Xu, G Dudek
2010 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Using an unified conceptual framework, we illustrate solutions for tracking coastlines and for following roads surrounded by forests.  ...  We present an integration of classical computer vision techniques to achieve real-time autonomous steering of an unmanned aircraft along the boundary of different regions.  ...  INTRODUCTION In this paper we describe the design and evaluation of a system for autonomous vision-based control of an unmanned aerial vehicle (UAV).  ... 
doi:10.1109/iros.2010.5652034 dblp:conf/iros/XuD10 fatcat:v6s7sy5za5czhatkejhwv5pt6i

Assessment of Possibilities to Use Thermal Imaging Cameras for Air Traffic Control

Jacek Zalewski, Stanisław Milewski, Michał Zabłotny
2017 Annual of Navigation  
This paper offers an account of an experiment and an attempt of assessing usefulness of thermal imaging cameras for controlling flights of aerial vehicles, mainly in areas of air-dromes and approach paths  ...  The character of missions and conditions in which they are carried out by military un-manned aerial vehicles are usually special and difficult.  ...  Fig. 5 . 5 The concept of organization and equipment for a ground-based station of vision flight control of aerial vehicles Fig. 7 . 7 Observation of a revolving propeller from different angles Fig  ... 
doi:10.1515/aon-2017-0014 fatcat:cu7k6pqlnvay7lmunlld7c3eey

Localization of a Ground Robot by Aerial Robots for GPS-Deprived Control with Temporal Logic Constraints [chapter]

Eric Cristofalo, Kevin Leahy, Cristian-Ioan Vasile, Eduardo Montijano, Mac Schwager, Calin Belta
2017 Springer Proceedings in Advanced Robotics  
In this work, we present a novel vision-based solution for operating a vehicle under Gaussian Distribution Temporal Logic (GDTL) constraints without global positioning infrastructure.  ...  We first present the mapping component that builds a high-resolution map of the environment by flying a team of two aerial vehicles in formation with sensor information provided by their onboard cameras  ...  We are grateful for this support.  ... 
doi:10.1007/978-3-319-50115-4_46 dblp:conf/iser/Cristofalo0VMSB16 fatcat:pynipkw2vjasrlfcdwkgf2tami

Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video

Mahdieh Poostchi, Hadi Aliakbarpour, Raphael Viguier, Filiz Bunyak, Kannappan Palaniappan, Guna Seetharaman
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Using a level-set based geodesic active contours framework, the coarse thresholded tall structures depth masks evolved and stopped at the actual building boundaries.  ...  from a network of ground-based sensors and instrumented vehicles.  ...  Ground-truth for the 200 frames of the ABQ dataset was provided by Arslan Basharat at Kitware.  ... 
doi:10.1109/cvprw.2016.196 dblp:conf/cvpr/PoostchiAVBPS16 fatcat:ze66xd5yqbe6nbcqyqjt7suwlm

Density Based Emergency Vehicle Detection and Traffic Signal Controlling using Image Processing

2020 International journal of recent technology and engineering  
The proposed system main intent is to acquire the images for the vehicle and control the traffic signal.  ...  In present day generation, the number of vehicles is increased because of increase in population.  ...  Before, the vehicle discovery, division and following frameworks are decided to charge the different vehicles for various activities and the toll demand framework. N. K. Kanhere, et and S. T.  ... 
doi:10.35940/ijrte.e6139.018520 fatcat:nkx6bwmxbvf6hc6ygg6tl2ve54

Author Index

2006 2006 14th Mediterranean Conference on Control and Automation  
A Simple Control Scheme for Mini Unmanned Aerial Vehicles TEA3-2 Ficola, A. Feature Matching Algorithms for Machine Vision Based Autonomous Aerial Refueling WEA1-3 Fidan, B.  ...  A Simple Control Scheme for Mini Unmanned Aerial Vehicles TEA3-2 Brunori, V. Feature Matching Algorithms for Machine Vision Based Autonomous Aerial Refueling WEA1-3 Bruzzone, G.  ... 
doi:10.1109/med.2006.328715 fatcat:rjjaot7sdzdsxe2ljxq56lfsdu

DAR-Net: Dense Attentional Residual Network for Vehicle Detection in Aerial Images

Kaifeng Li, Bin Wang, Sandhya Samarasinghe
2021 Computational Intelligence and Neuroscience  
With the rapid development of deep learning and the wide usage of Unmanned Aerial Vehicles (UAVs), CNN-based algorithms of vehicle detection in aerial images have been widely studied in the past several  ...  Based on the DW res-block and MRFA module, to protect the spatial information, the proposed framework adopts a new backbone that only downsamples the feature map 3 times; i.e., the total downsampling ratio  ...  Considering the difficulties illustrated above, a new onestage vehicle detection framework for aerial images is proposed in this paper. e main contributions of this paper are listed as follows: (1) A novel  ... 
doi:10.1155/2021/6340823 pmid:34868295 pmcid:PMC8642025 fatcat:7nje74s4kbh45jxwl24ldkhana

Lidar Based Intelligent Obstacle Avoidance System for Autonomous Ground Vehicles

2020 International journal of recent technology and engineering  
As a first step towards this, researchers have developed a vast number of camera vision-based efficient neural network algorithms for detecting and avoiding obstacles.  ...  Camera vision and lidar vision together is suitable for AGVs to operate in all conditions like day, night, and fog.  ...  Obstacle detection and avoidance features are also mandatory for Unmanned Aerial Vehicles (UAVs). In [8] , a fluid mechanics-based obstacle avoidance method was proposed for UAVs.  ... 
doi:10.35940/ijrte.f8029.038620 fatcat:hbvtr47ztfddxdoo3khlzqv4k4

Dynamic kinesthetic boundary for haptic teleoperation of aerial robotic vehicles

Xiaolei Hou, Robert Mahony
2013 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems  
This paper introduces a novel dynamic kinesthetic boundary to aid a pilot to navigate an aerial robotic vehicle through a cluttered environment.  ...  Classical haptic teleoperation interfaces for aerial vehicles utilize force feedback to provide the pilot with a haptic feel of the robot's interaction with an environment.  ...  CONCLUSIONS In this paper, we propose a novel approach for obstacle avoidance and haptic teleoperation of aerial robots based on a novel concept of dynamic kinesthetic boundary.  ... 
doi:10.1109/iros.2013.6697070 dblp:conf/iros/HouM13 fatcat:3rrlsggbc5eztbl6eqezvsxauq

Multi-source Multi-modal Activity Recognition in Aerial Video Surveillance

Riad I. Hammoud, Cem S. Sahin, Erik P. Blasch, Bradley J. Rhodes
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
boundaries.  ...  Finally, we describe a multi-intelligence user interface for querying an index of activities of interest (AOIs) by movement type and geo-location, and for playing-back a summary of associated text (ACO  ...  The authors would like to thank Adnan Bubalo (AFRL), Robert Biehl, Brad Galego, Helen Webb and Michael Schneider (BAE Systems) for their support.  ... 
doi:10.1109/cvprw.2014.44 dblp:conf/cvpr/HammoudSBR14 fatcat:p7pqnfbzefdplpm5eztcgk2lge

High-Definition Map Generation Technologies For Autonomous Driving [article]

Zhibin Bao, Sabir Hossain, Haoxiang Lang, Xianke Lin
2022 arXiv   pre-print
This review introduces the concept of HD maps and their usefulness in autonomous driving and gives a detailed overview of HD map generation techniques.  ...  From big organizations like Baidu Apollo, NVIDIA, and TomTom to individual researchers, researchers have created HD maps for different scenes and purposes for autonomous driving.  ...  The road boundary extraction from the raw point clouds using the curb-based method. 2. Road boundary completion by applying a U-shaped encoder-decoder model and a CNN-based completion model. 3.  ... 
arXiv:2206.05400v2 fatcat:yj6tq4pl5vbotbckyatlaq7eee

The Oxford Road Boundaries Dataset [article]

Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
2021 arXiv   pre-print
In this paper we present the Oxford Road Boundaries Dataset, designed for training and testing machine-learning-based road-boundary detection and inference approaches.  ...  To boost the number of training samples in this way, we used a vision-based localiser to project labels from the annotated datasets to other traversals at different times and weather conditions.  ...  ACKNOWLEDGMENTS This work was presented at the workshop "3D-DLAD: 3D-Deep Learning for Autonomous Driving" (WS15), IV2021.  ... 
arXiv:2106.08983v1 fatcat:hilzvpz65fhvjm7intpkxy4kzm

Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network

Lichao Mou, Xiao Xiang Zhu
2018 IEEE Transactions on Geoscience and Remote Sensing  
pixel with a physical instance of a vehicle.  ...  boundaries.  ...  ACKNOWLEDGMENT The authors would like to thank the ISPRS for making the Potsdam data set available.  ... 
doi:10.1109/tgrs.2018.2841808 fatcat:qrk42qlhsrglriju33enxtefum

Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance

Riad Hammoud, Cem Sahin, Erik Blasch, Bradley Rhodes, Tao Wang
2014 Sensors  
VIVA and MINER examples are demonstrated for wide aerial/overhead imagery over common data sets affording an improvement in tracking from video data alone, leading to 84% detection with modest misdetection  ...  We also present an activity pattern learning framework that uses the multi-source associated data as training to index a large archive of full-motion videos (FMV).  ...  The authors would like to thank Adnan Bubalo (AFRL), Robert Biehl, Brad Galego, Helen Webb and Michael Schneider (BAE Systems) for their support.  ... 
doi:10.3390/s141019843 pmid:25340453 pmcid:PMC4239870 fatcat:ony3ylej4nhzxbnap2zide3kwi

A BIM-based framework for outdoor circulation rule checking

Sherif M. Abdelmohsen
2014 Revista de Arquitectura  
This paper introduces a BIM-based framework for outdoor circulation rule checking from a geometric modeling perspective.  ...  Mechanisms of integration between high-level operators and low-level operations are defined for different domains of rule checking, based on three types of datasets: 1) BIM objects in outdoor settings,  ...  This paper introduces a BIM-based framework for outdoor circulation rule checking from a geometric modeling standpoint.  ... 
doi:10.5354/0719-5427.2012.32537 fatcat:bzehploeojbozojjwgddiq4wby
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