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An integrated algorithm for ego-vehicle and obstacles state estimation for autonomous driving

Mattia Bersani, Simone Mentasti, Pragyan Dahal, Stefano Arrigoni, Michele Vignati, Federico Cheli, Matteo Matteucci
2020 Robotics and Autonomous Systems  
correspondence of the center of gravity.  ...  Related works 87 As stated in the previous section, DATMO can provide the estimate for each 88 obstacle close to a vehicle even in uncertain conditions.  ...  Scenarios with a large 138 number of sensors usually employ multilayers based solution [26, 27], where each 139 171 Global 171 Nearest Neighbour (GNN) filters, Joint Probabilistic Data Association 172  ... 
doi:10.1016/j.robot.2020.103662 fatcat:sp53k7wjs5ginofz53kejtmrn4

Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey

Tiago Simões, Daniel Lopes, Sérgio Dias, Francisco Fernandes, João Pereira, Joaquim Jorge, Chandrajit Bajaj, Abel Gomes
2017 Computer graphics forum (Print)  
Furthermore, these surveys agree on a simplified classification of cavity detection algorithms into the following classes: sphere-based, grid-based, and Voronoi-based.  ...  Using the three-dimensional structure of a given protein (i.e., atom types and their locations in 3D) as retrieved from a PDB (Protein Data Bank) file, it is now computationally viable to determine a description  ...  A smaller distance from an atom to protein's gravity center means that the atom is located at a deeper site in the protein.  ... 
doi:10.1111/cgf.13158 pmid:29520122 pmcid:PMC5839519 fatcat:5t4rhndtunhvtmkm32niknst7i

AMZ Driverless: The Full Autonomous Racing System [article]

Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits (+7 others)
2019 arXiv   pre-print
This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and extensibility.  ...  In order to autonomously race around a previously unknown track, the proposed solution combines state of the art techniques from different fields of robotics.  ...  Acknowledgments In the name of AMZ Driverless, we would like to thank all our sponsors as we could not have realized this project without their support.  ... 
arXiv:1905.05150v1 fatcat:jztfwaowyzftlgzrlwy3khidnu

Spatiotemporal enabled Content-based Image Retrieval

Mariana Belgiu, Martin Sudmanns, Tiede Dirk, Andrea Baraldi, Stefan Lang
2016 International Conference on GIScience Short Paper Proceedings  
In this paper, we propose a probabilistic method for estimation of the coverage of a sensor network based on 3D vector representation of the environment.  ...  For efficient deployment of sensors in a WSN the coverage estimation is a critical issue. Probabilistic methods are among the most accurate models proposed for sensor coverage estimation.  ...  We acknowledge the USGS Center for Excellence in Geospatial Information Science (CEGIS) for analytic advice.  ... 
doi:10.21433/b311729295dw fatcat:fulw4pw3kfh5nmfzcsy3pkisvm

Recent advances in mechatronics

Okyay Kaynak
1996 Robotics and Autonomous Systems  
The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or  ...  Typesetting: Camera-ready by Contributors SPIN 10717447 543210 (Robotics Society of Japan) and SICE (Society of Instr. and Control Engineers of Japan).  ...  Acknowledgements The authors would like to thank Mr. K. Tonegawa for his help with the experiments.  ... 
doi:10.1016/s0921-8890(96)00039-5 fatcat:l5fd4hwa2rbu3l6f2jucyj2fxy

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
Precise diagnosis of these diseases on time is very significant for maintaining a healthy life.  ...  A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper.  ...  The region-based segmentation will segment the data dependent on the taken-out features using GLCM algorithm.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe

Evolution of novel activation functions in neural network training for astronomy data: habitability classification of exoplanets

Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida, Sneha H R
2020 The European Physical Journal Special Topics  
Classification of exoplanets, on the other hand, is a different approach and depends on quality of training data available in habitable exoplanet catalogs.  ...  Classification is the task of predicting labels of newly discovered planets based on available class labels in the catalog.  ...  Hausdorff distance between two distribution A and B is defined as following, d H (A, B) = max ∀aA min ∀b∈B |a − b|. (23) For every point a in A, we find the distance of the nearest point in B, store this  ... 
doi:10.1140/epjst/e2020-000098-9 pmid:33194093 pmcid:PMC7651829 fatcat:ea3rnndkpvffbhigw3s7yfkyjm

Patient-generated evidence in Epidermolysis Bullosa (EB): Development of a questionnaire to assess the Quality of Life [chapter]

Laura Benedan, May El Hachem, Carlotta Galeone, Paolo Mariani, Cinzia Pilo, Gianluca Tadini
2021 Proceedings e report  
This tool will be a valid aid for clinicians to understand patients better and identify the areas that need more attention; moreover, it will allow them to follow the patients over time and evaluate the  ...  Nevertheless, the assessment of the quality of life of these patients is scanty. This project aims to develop a patient-centered questionnaire to assess the QoL of EB patients.  ...  She is the author and co-author of numerous scientific papers published in national and international journals, and she has been a member of research projects and scientific committees for several national  ... 
doi:10.36253/978-88-5518-461-8.38 fatcat:2yp72egbhrcvxng7avqoskbpse

Temporal sensorfusion for the classification of bioacoustic time series [article]

Christian R. Dietrich, Universität Ulm, Universität Ulm
2016
In this thesis a system for the classification of Orthoptera species by their sounds is described and the behaviour of this approach is demonstrated on a large data set containing sounds of 53 different  ...  The system consists of multiple classifiers, since in previous studies it has been shown that for many applications the classification performance of a single classifier system can be improved by combining  ...  Acknowledgements This thesis was supported by the help and the assistance of many people whose efforts I hereby would like to gratefully acknowledge.  ... 
doi:10.18725/oparu-312 fatcat:hu3l72tjtrcsxcirch22azbgz4

Extraction of spatio-temporal primitives of emotional body expressions

Lars Omlor, Martin A. Giese
2007 Neurocomputing  
The same columnar circuit is re-used all over the cortex, applying a generic algorithm to varying sensory data.  ...  Furthermore, input activity is summed from nearest neighbours and multiplied by corresponding node in the input layer.  ... 
doi:10.1016/j.neucom.2006.10.100 fatcat:esivhljzsbcihdl5qbp756josu

Applications of the Free Energy Principle to Machine Learning and Neuroscience [article]

Beren Millidge
2021 arXiv   pre-print
Finally, we investigate biologically plausible methods of credit assignment in the brain. We first demonstrate a close link between predictive coding and the backpropagation of error algorithm.  ...  We go on to propose novel and simpler algorithms which allow for backprop to be implemented in purely local, biologically plausible computations.  ...  ) := {w (i) k } K k=1 for action sequence k = 1...K do w (i+1) k ← W (a) k ·q (i) (a) k ;θ ∑ K j=1 W (a) j ·q (i) (a) j ;θ θ (i+1) ← refit W (i+1 end end Extract µ t:T from q(a; θ) return µ t Related  ... 
arXiv:2107.00140v1 fatcat:c6phd65xwfc2rcyq7pnth5a3pq

Computational Creativity

Rania A. Hodhod, Brian S. Magerko
2014 International Journal of Cognitive Informatics and Natural Intelligence  
As the field has continued to grow, the time has come for the creation of a more formal, even archival, forum for work in computational creativity and this year we took the leap.  ...  We are grateful for the thoughtful and thorough reviews provided by the programme committee (without whose hard work, this conference would not have been possible), and, based on these, we accepted 33  ...  Acknowledgements This research was funded by a grant from the Canada Council for the Arts and the Natural Sciences and Engineering Research Council of Canada.  ... 
doi:10.4018/ijcini.2014040101 fatcat:t75r5mrudzckfm3cjskssgadma

Environmental Tectonics [article]

Isak Worre Foged
2015 Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet  
The value at each site evolves deterministically with time according to a set of definite rules involving the values of its nearest neighbours.  ...  The field of computational generative processes based on biological mechanisms is itself growing with numerous sub-categories such as 'physical algorithms', 'probabilistic algorithms', 'immune algorithms  ... 
doi:10.5278/vbn.phd.engsci.00010 fatcat:u4jzkpzoyvfbrbiqy2eqzjiyqm

Shaping and policy search for nearest-neighbour control policies with applications to vehicle steering [article]

Ken Alton
2004
Direct policy search is applied to a nearest-neighbour control policy, which uses a Voronoi cell discretization of the observable state space, as induced by a set of control nodes located in this space  ...  We examine these motion control results critically and discuss the limitations of the nearest-neighbour policy representation and our policy search method.  ...  She has shown that a similar policy search method can be used to learn policies for planar biped walking, which I find very exciting. Much of this work has been supported by a NSERC PGS-A scholarship.  ... 
doi:10.14288/1.0051749 fatcat:j57cydzxnrd6pe72wmbsrbrm5q

Science, society and biosafety of a field trial with transgenic biofuel poplars

Rebecca Van Acker, Véronique Storme, Geert Goeminne, Bart Ivens, René Custers, Dirk Aerts, Wim Soetaert, John Ralph, Nicholas Santoro, Jean-Charles Leplé, Gilles Pilate, Wout Boerjan
2011 BMC Proceedings  
A long history of quantitative genetic experimentation has established the genetic basis for many traits, which are likely adaptive since many of them are also correlated with environmental heterogeneity  ...  The black box surrounds the sampling area for Douglas-fir, while the entire range for loblolly pine was sampled.  ...  The availability of the QMI to rapidly assess the potential risk generated by transgenic plants in characterized ecosystems, is a useful tool to assess the releasing or not of the permission of cultivation  ... 
doi:10.1186/1753-6561-5-s7-i23 fatcat:ulkxqgdupfdktkhsx2kba7pcn4
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