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A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System

Sarra Smaiah, Rabah Sadoun, Abdelhafid Elouardi, Bruno Larnaudie, Samir Bouaziz, Abderahmane Boubezoul, Bastien Vincke, Stéphane Espié
2018 Sensors  
Data required for the reconstruction are acquired using a motorcycle that has been fully instrumented (in VIROLO++ Project) with several redundant sensors (reference sensors and low-cost sensors) which  ...  During this investigation, a system based on an instrumented multi-sensor platform and an algorithmic study was developed to accurately reconstruct motorcycle trajectories achieved when negotiating bends  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s18072282 pmid:30011924 pmcid:PMC6069380 fatcat:mp7mjm5p5rhqzkp2stottfwvm4

Virtualized Traffic: Reconstructing Traffic Flows from Discrete Spatiotemporal Data

Jason Sewall, Jur van den Berg, Ming C Lin, Dinesh Manocha
2011 IEEE Transactions on Visualization and Computer Graphics  
Given the positions of each car at two recorded locations on a highway and the corresponding time instances, our approach can reconstruct the traffic flows (i.e. the dynamic motions of multiple cars over  ...  We present a novel concept, Virtualized Traffic, to reconstruct and visualize continuous traffic flows from discrete spatiotemporal data provided by traffic sensors or generated artificially to enhance  ...  Alexandre Bayen and Ryan Herring from the Institute of Transportation Studies at the University of California at Berkeley for their assistance in obtaining real-world trajectory data.  ... 
doi:10.1109/tvcg.2010.27 pmid:21071785 fatcat:7i3mdqdltbgmxly4546jrajxmi

A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application

Mariana Campos, Antonio Tommaselli, Eija Honkavaara, Fabricio Prol, Harri Kaartinen, Aimad El Issaoui, Teemu Hakala
2018 Sensors  
To contribute to the development of light, low-cost PMTS and potential applications of these off-the-shelf sensors for forest mapping, this paper presents a low-cost PMTS approach comprising an omnidirectional  ...  However, most of these sensors have not been developed for high-accuracy metric purposes and therefore require rigorous methods of data acquisition and data processing to obtain satisfactory results for  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2018, 18, 827  ... 
doi:10.3390/s18030827 pmid:29522467 pmcid:PMC5876751 fatcat:df25npx6tjdi7lkcam7nfyqqjq

Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles

Gustavo Gil, Giovanni Savino, Simone Piantini, Marco Pierini
2018 Sensors  
Our promising results support the application of this type of sensors for advanced motorcycle safety applications.  ...  Our aim was to study a camera-based sensor for the application of preventive safety in tilting vehicles.  ...  Acknowledgments: This work has been funded for European Community's Seventh Framework Program through the international consortium MOTORIST (Motorcycle Rider Integrated Safety) agreement No. 608092.  ... 
doi:10.3390/s18010295 pmid:29351267 pmcid:PMC5795592 fatcat:lwn47lgl2rflnlmxbailmlvhoa

DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes

Berta Bescos, Jose M. Facil, Javier Civera, Jose Neira
2018 IEEE Robotics and Automation Letters  
Such a strong assumption limits the use of most visual SLAM systems in populated real-world environments, which are the target of several relevant applications like service robotics or autonomous vehicles  ...  And it also estimates a map of the static parts of the scene, which is a must for long-term applications in real-world environments.  ...  In the RGB-D case (black dashed line) a second approach based on multi-view geometry is added for a more accurate motion segmentation, for which we need a low-cost tracking algorithm.  ... 
doi:10.1109/lra.2018.2860039 dblp:journals/ral/BescosFCN18 fatcat:st5vvy2b2ve77ahaf7is4mafmy

THE MAIN IMAGING ISSUES IN THE REALM OF MMS

João Fernando Custodio da Silva
2013 Revista Brasileira de Cartografia  
The mobile devices, the growing image sensor resolution, the low cost inertial sensors, and the computer performance of the 64-bit processors indicate that this methodology has potential for new applications  ...  Mobile mapping is a method of acquisition of geo-referenced images that uses a moving platform in which sensors and other devices are set on board.  ...  These auxiliary devices are low cost sensors that may complete a MMS for the purpose of helping trajectory control and analysis.  ... 
doaj:8ffcd558b1cd4dbeadb8811ae248e3c7 fatcat:3xhjjxx3sjad7lzzicxufq33mi

Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making [article]

Rogerio Bonatti and Wenshan Wang and Cherie Ho and Aayush Ahuja and Mirko Gschwindt and Efe Camci and Erdal Kayacan and Sanjiban Choudhury and Sebastian Scherer
2019 arXiv   pre-print
Existing approaches do not address all aspects of this problem; they either require high-precision motion-capture systems or GPS tags to localize targets, rely on prior maps of the environment, plan for  ...  However, safely piloting a drone while filming a moving target in the presence of obstacles is immensely taxing, often requiring multiple expert human operators.  ...  Acknowledgments We thank Xiangwei Wang and Greg Armstrong for the assistance in field experiments and robot construction.  ... 
arXiv:1910.06988v1 fatcat:cpyemzfkzvbtxd3psl2c554jje

Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor

Chang Xu, Yingguan Wang, Xinghe Bao, Fengrong Li
2018 Sensors  
Classification is made through utilizing a single anisotropic magnetoresistive sensor, with the models of vehicles involved being classified into hatchbacks, sedans, buses, and multi-purpose vehicles (  ...  Using time domain and frequency domain features in combination with three common classification algorithms in pattern recognition, we develop a novel feature extraction method for vehicle classification  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s18061690 pmid:29794974 pmcid:PMC6022199 fatcat:cbl2fghdqzh4llextakicrqwji

Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art [article]

Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger
2021 arXiv   pre-print
This book attempts to narrow this gap by providing a survey on the state-of-the-art datasets and techniques.  ...  Our survey includes both the historically most relevant literature as well as the current state of the art on several specific topics, including recognition, reconstruction, motion estimation, tracking  ...  Coarse-to-fine approaches are used to handle large disparities by going from a low to a high resolution solution of the matching problem.  ... 
arXiv:1704.05519v3 fatcat:xiintiarqjbfldheeg2hsydyra

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  ., +, TIM July 2020 4314-4323 Low-Cost System of Direct Measurement of Dissipation Factor for High-Voltage Electrical Machine.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

A comparison of two Monte Carlo algorithms for 3D vehicle trajectory reconstruction in roundabouts

Andrea Romanoni, Lorenzo Mussone, Davide Rizzi, Matteo Matteucci
2015 Pattern Recognition Letters  
Available online xxx Keywords: Vehicular trajectory 3D visual tracking Monte Carlo smoothing Model-based tracking a b s t r a c t Visual vehicular trajectory analysis and reconstruction represent two relevant  ...  Especially in the presence of roundabouts, the perspective effects on vehicles projection on the image plane can be overcome by reconstructing their 3D positions with a 3D tracking algorithm.  ...  Both algorithms use a set of 30 class-scale samples, that is, 10 samples for each of the three classes: car, truck and motorcycle.  ... 
doi:10.1016/j.patrec.2014.09.003 fatcat:vndcvgdv7ve6fncpycinhfdxwu

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review [article]

Abolfazl Razi, Xiwen Chen, Huayu Li, Brendan Russo, Yan Chen, Hongbin Yu
2022 arXiv   pre-print
Finally, we review commercial implementations of traffic monitoring systems, their future outlook, and open problems and remaining challenges for widespread use of such systems.  ...  a comparative analysis of the most successful conventional and DL-based algorithms proposed for each step.  ...  Special thanks go to Greg Leeming from Intel for his insightful comments and continued support of this project. We are grateful to Arizona Commerce  ... 
arXiv:2203.10939v1 fatcat:h4o5zghhhfezncn7luy56yjusm

TelosCAM: Identifying Burglar through Networked Sensor-Camera Mates with Privacy Protection

Shaojie Tang, Xiang-Yang Li, Haitao Zhang, Jiankang Han, Guojun Dai, Cheng Wang, Xingfa Shen
2011 2011 IEEE 32nd Real-Time Systems Symposium  
In our system, a property owner will have a wireless module node (called secondary module) for each of the properties that s/he wants to protect.  ...  Using the trajectory information provided by the secondary wireless module node, and the images captured by the surveillance cameras, our system will then automatically pinpoint the target burglar (e.g  ...  However, the available authentication algorithms based on public key systems have been too complex for implementation in very low cost systems.  ... 
doi:10.1109/rtss.2011.37 dblp:conf/rtss/TangLZHDWS11 fatcat:saj64myyubbpdejwpaoeivranu

State-of-the-Art Mobile Radiation Detection Systems for Different Scenarios

Luís Marques, Alberto Vale, Pedro Vaz
2021 Sensors  
The work presented in this paper aims to: compile and review information on the radiation detection systems, contextual sensors and platforms used for each scenario; assess their advantages and limitations  ...  Examples of improvements are: the use of silicon photomultiplier-based scintillators, new scintillating crystals, compact dual-mode detectors (gamma/neutron), data fusion, mobile sensor networks, cooperative  ...  For the urgent detection of nuclear radiation, a multi-UAV system has several advantages compared to a single UAV system, mainly related to the use of low-cost, small, and lightweight platforms, which  ... 
doi:10.3390/s21041051 pmid:33557104 pmcid:PMC7913838 fatcat:b2bw2jhqifaadbwq5qkwkdgkjm

Response-based methods to measure road surface irregularity: a state-of-the-art review

Teron Nguyen, Bernhard Lechner, Yiik Diew Wong
2019 European Transport Research Review  
A holistic review of studies into modern response-based techniques for road pavement applications is found to be lacking.  ...  However, a novel and comprehensive system that is comparable to existing International Roughness Index and conventional Pavement Management System is still lacking.  ...  Acknowledgements This work is part of the PhD study of the first author and is financially supported by the National Research Foundation Singapore under its Campus for Research Excellence and Technological  ... 
doi:10.1186/s12544-019-0380-6 fatcat:dr2mgoy2vvg4nalpcttcgktpkm
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