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Dissertations / Theses on the topic 'Sensor fusion and obstacle detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Gálvez, del Postigo Fernández Carlos. "Grid-Based Multi-Sensor Fusion for On-Road Obstacle Detection: Application to Autonomous Driving." Thesis, KTH, Datorseende och robotik, CVAP, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173316.

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Self-driving cars have recently become a challenging research topic, with the aim of making transportation safer and more efficient. Current advanced driving assistance systems (ADAS) allow cars to drive autonomously by following lane markings, identifying road signs and detecting pedestrians and other vehicles. In this thesis work we improve the robustness of autonomous cars by designing an on-road obstacle detection system. The proposed solution consists on the low-level fusion of radar and lidar through the occupancy grid framework. Two inference theories are implemented and evaluated: Baye

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2

Luppi, Alessandro. "Park Assist Optimization by Sensor Fusion Strategy: Development and Model-in-the-loop Validation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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The Rear Park Assist feature is an ADAS (Advanced Driver Assistant System) function intended to provide warnings to the driver when an obstacle that can collide with the rear bumper of the vehicle is present near the back of a car moving in reverse. A Value Optimization project has been completed, with the support of Maserati S.p.A., to study the feasibility of a reconfiguration of the Rear Park Assist feature. Indeed, on current vehicles on the market, the Rear Park Assist function is based on ultrasonic sensors; but the availability of a rear-view camera and corner radars on some Maserati v

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3

Vandi, Damiano. "ADAS Value Optimization for Rear Park Assist: Improvement and Assessment of Sensor Fusion Strategy." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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The project for this thesis consists in an ADAS Value Optimization activity conducted during an internship in Maserati S.p.A. with the objective of removing the ultrasonic sensors used for the Rear Park Assist (RPA) ADAS feature, obtaining the same functionality and performance in the detection and signaling of obstacles behind the car through a new system based on a sensor fusion strategy between Rear View Camera (RVC) and Blind Spot Radars (BSD). To achieve this goal, a study of the current RPA feature has been conducted, and starting from a previous implementation of the sensor fusion stra

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4

Rosero, Luis Alberto Rosero. "Detecção de obstáculos usando fusão de dados de percepção 3D e radar em veículos automotivos." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17042017-145443/.

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Este projeto de mestrado visa a pesquisa e o desenvolvimento de métodos e algoritmos, relacionados ao uso de radares, visão computacional, calibração e fusão de sensores em veículos autônomos/inteligentes para fazer a detecção de obstáculos. O processo de detecção de obstáculos se divide em três etapas, a primeira é a leitura de sinais de Radar, do LiDAR e a captura de dados da câmera estéreo devidamente calibrados, a segunda etapa é a fusão de dados obtidos na etapa anterior (Radar+câmera, Radar+LIDAR 3D), a terceira etapa é a extração de características das informações obtidas, identificando

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5

Utino, Vítor Manha. "Fusão de informações obtidas a partir de múltiplas imagens visando à navegação autônoma de veículos inteligentes em abiente agrícola." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17102016-165459/.

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Este trabalho apresenta um sistema de auxilio à navegação autônoma para veículos terrestres com foco em ambientes estruturados em um cenário agrícola. É gerada a estimativa das posições dos obstáculos baseado na fusão das detecções provenientes do processamento dos dados de duas câmeras, uma estéreo e outra térmica. Foram desenvolvidos três módulos de detecção de obstáculos. O primeiro módulo utiliza imagens monoculares da câmera estéreo para detectar novidades no ambiente através da comparação do estado atual com o estado anterior. O segundo módulo utiliza a técnica Stixel para delimitar os o

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6

Doyle, Rory Stephen. "Neurofuzzy multi-sensor data fusion for helicopter obstacle avoidance." Thesis, University of Southampton, 1997. https://eprints.soton.ac.uk/250033/.

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Hazardous weather conditions significantly limit the operational capability of civil helicopters. This limitation arises from the crew's inability to determine the location of obstacles in the environment by sight. In order to assist the crew in these circumstances a range of equipment and sensors may be installed in the helicopter. However, with multiple sensors on board, the problem of efficiently assimilating the large amount of imagery and data available generates a significant workload. A reduction of the workload may be achieved by the automation of this assimilation (sensor fusion) and

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7

Yang, Fucheng. "Noncoherent fusion detection in wireless sensor networks." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/360402/.

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The main motivation of this thesis is to design low-complexity high efficiency noncoherent fusion rules for the parallel triple-layer wireless sensor networks (WSNs) based on frequency-hopping Mary frequency shift keying (FH/MFSK) techniques, which are hence referred to as the FH/MFSK WSNs. The FH/MFSKWSNs may be employed to monitor single or multiple source events (SEs)with each SE having multiple states. In the FH/MFSKWSNs, local decisions made by local sensor nodes (LSNs) are transmitted to a fusion center (FC) with the aid of FH/MFSK techniques. At the FC, various noncoherent fusion rules

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8

Abyarjoo, Fatemeh. "Sensor Fusion for Effective Hand Motion Detection." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2215.

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9

Höjer, Vidar, and Alexander Sundberg. "Active Dampening : Servo controlled suspension with infrared sensor obstacle detection." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264455.

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The purpose of this project was to create an active dampening suspension for a small prototype that was able to detect obstacles using infrared sensors. The suspension system consisted of servomotors that controlled the angle of a leg upon which a wheel was attached. The infrared distance sensor measured the height of obstacles and the necessary raising of the suspension was calculated on a microcomputer of type Arduino Uno. It was concluded that the constructed system of suspension and obstacle detection was inadequate. Most subsystems worked but not as a whole.<br>Syftet med detta projekt va

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10

Rouhani, Shahin. "Radar and Thermopile Sensor Fusion for Pedestrian Detection." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-115.

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<p>During the last decades, great steps have been taken to decrease passenger fatality in cars. Systems such as ABS and airbags have been developed for this purpose alone. But not much effort has been put into pedestrian safety. In traffic today, pedestrians are one of the most endangered participants and in recent years, there has been an increased demand for pedestrian safety from the European Enhanced Vehicle safety Committee and the European New Car Assessment Programme has thereby developed tests where pedestrian safety is rated. With this, detection of pedestrians has arised as a part in

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11

Gnanapandithan, Nithya. "Data detection and fusion in decentralized sensor networks." Thesis, Manhattan, Kan. : Kansas State University, 2005. http://hdl.handle.net/2097/132.

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12

Besbes, Bassem. "Intégration de méthodes de représentation et de classification pour la détection et la reconnaissance d'obstacles dans des scènes routières." Phd thesis, INSA de Rouen, 2011. http://tel.archives-ouvertes.fr/tel-00633109.

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Cette thèse s'inscrit dans le contexte de la vision embarquée pour la détection et la reconnaissance d'obstacles routiers, en vue d'application d'assistance à la conduite automobile.A l'issue d'une étude bibliographique, nous avons constaté que la problématique de détection d'obstacles routiers, notamment des piétons, à l'aide d'une caméra embarquée, ne peut être résolue convenablement sans recourir aux techniques de reconnaissance de catégories d'objets dans les images. Ainsi, une étude complète du processus de la reconnaissance est réalisée, couvrant les techniques de représentation,de class

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13

Lin, Erwei Kam Moshe. "Detection in distributed sensor networks /." Philadelphia, Pa. : Drexel University, 2005. http://hdl.handle.net/1860/1303.

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14

Kiepert, Joshua. "A wireless sensor data fusion framework for contaminant detection." [Boise, Idaho] : Boise State University, 2009. http://scholarworks.boisestate.edu/td/61/.

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15

Sikdar, Ankita. "Depth based Sensor Fusion in Object Detection and Tracking." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1515075130647622.

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Fallah, Haghmohammadi Hamidreza. "Fever Detection for Dynamic Human Environment Using Sensor Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37332.

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The objective of this thesis is to present an algorithm for processing infrared images and accomplishing automatic detection and path tracking of moving subjects with fever. The detection is based on two main features: the distinction between the geometry of a human face and other objects in the field of view of the camera and the temperature of the radiating object. These features are used for tracking the identified person with fever. The position of camera with respect to direction of motion the walkers appeared to be critical in this process. Infrared thermography is a remote sensing techn

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17

Wei, Zhaoyi. "Real-Time Optical Flow Sensor Design and its Application on Obstacle Detection." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2916.pdf.

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18

Azevedo, Rui Filipe Cabral de. "Sensor fusion of laser and vision in active pedestrian detection." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14414.

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Mestrado em Engenharia Mecânica<br>This work explores a technique of sensor fusion that aims to equip vehicles with pedestrian fast detection mechanisms in exterior environments. This method restricts image areas of search based on indicators obtained by another sensor (LIDAR). This technique is based on the idea that when having a registration among the involved sensors, one "fast" sensor, but inaccurate, that can indicate regions where potential pedestrian are located on the image, and another sensor, "slower" but more robust that is used to confirm detection more accurately. So, an a

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Svanström, Fredrik. "Drone Detection and Classification using Machine Learning and Sensor Fusion." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42141.

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This thesis explores the process of designing an automatic multisensordrone detection system using machine learning and sensorfusion. Besides the more common video and audio sensors, the systemalso includes a thermal infrared camera. The results show thatutilizing an infrared sensor is a feasible solution to the drone detectiontask, and even with slightly lower resolution, the performance isjust as good as a video sensor. The detector performance as a functionof the sensor-to-target distance is also investigated. Using sensor fusion, the system is made more robust than the individualsensors. I

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Le, Xuqing. "Fire Detection Robot using Type-2 Fuzzy Logic Sensor Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32471.

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In this research work, an approach for fire detection and estimation robots is presented. The approach is based on type-2 fuzzy logic system that utilizes measured temperature and light intensity to detect fires of various intensities at different distances. Type-2 fuzzy logic system (T2 FLS) is known for not needing exact mathematic model and for its capability to handle more complicated uncertain situations compared with Type-1 fuzzy logic system (T1 FLS). Due to lack of expertise for new facilities, a new approach for training experts’ expertise and setting up T2 FLS parameters from pure da

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21

Jia, Huamin. "Data fusion methodologies for multisensor aircraft navigation systems." Thesis, Cranfield University, 2004. http://hdl.handle.net/1826/781.

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The thesis covers data fusion for aircraft navigation systems in distributed sensor systems. Data fusion methodologies are developed for the design, development, analysis and simulation of multisensor aircraft navigation systems. The problems of sensor failure detection and isolation (FDI), distributed data fusion algorithms and inertial state integrity monitoring in inertial network systems are studied. Various existing integrated navigation systems and Kalman filter architectures are reviewed and a new generalised multisensor data fusion model is presented for the design and development of m

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Holmberg, Per. "Sensor Fusion with Coordinated Mobile Robots." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1717.

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<p>Robust localization is a prerequisite for mobile robot autonomy. In many situations the GPS signal is not available and thus an additional localization system is required. A simple approach is to apply localization based on dead reckoning by use of wheel encoders but it results in large estimation errors. With exteroceptive sensors such as a laser range finder natural landmarks in the environment of the robot can be extracted from raw range data. Landmarks are extracted with the Hough transform and a recursive line segment algorithm. By applying data association and Kalman filtering along w

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23

Westberg, Daniel. "A sensor fusion method for detection of surface laid land mines." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10479.

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<p>Landminor är ett stort problem både under och efter krigstid. De metoder som används för att detektera minor har inte ändrats mycket sedan 1940-talet. Forskning med mål att utvärdera olika elektro-optiska sensorer och metoder som skulle kunna användas för att skapa mer effektiv min-detektion genomförs på FOI. Försök som har gjorts med data från bland annat laser-radar och IR-sensorer har gett intressanta resultat.</p><p>I det här examensarbetet utvärderades olika fenomen och egenskaper i laser-radar- och IR-data. De testade egenskaperna var intensitet, IR, ytlikhet och höjd.</p><p>En metod

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Lee, Brielle. "Development of Intelligent Exoskeleton Grasping Through Sensor Fusion and Slip Detection." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83924.

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This thesis explores the field of hand exoskeleton robotic systems with slip detection and its applications. It presents the design and control of the intelligent sensing and force- feedback exoskeleton robotic (iSAFER) glove to create a system capable of intelligent object grasping initiated by detection of the user’s intentions through motion amplification. Using a combination of sensory feedback streams from the glove, the system has the ability to identify and prevent object slippage, as well as adapting grip geometry to the object properties. The slip detection algorithm provides updated

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25

Kim, Jung Rack. "The detection and reconstruction of landscape objects using multi-sensor fusion." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444833/.

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Automatic object detection and reconstruction has been one of the main objectives of remote sensing applications. The primary goal of this research work is to develop techniques for the automated production of dense landscape object models by combining various optical imagery with 3D information. It seeks to focus object- identification ratio updating to an applicable level through multi source data fusion with a two fold application building detection and tree detection in urban areas, and impact crater detection on planetary surfaces. The system for urban-area object detection involves focus

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Andersson, Anton. "Offline Sensor Fusion for Multitarget Tracking using Radar and Camera Detection." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208344.

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Autonomous driving systems are rapidly improving and may have the ability to change society in the coming decade. One important part of these systems is the interpretation of sensor information into trajectories of objects. In this master’s thesis, we study an energy minimisation method with radar and camera measurements as inputs. An energy is associated with the trajectories; this takes the measurements, the objects’ dynamics and more factors into consideration. The trajectories are chosen to minimise this energy, using a gradient descent method. The lower the energy, the better the trajecto

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Carlsson, Tor. "Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion." Thesis, KTH, Skolan för teknik och hälsa (STH), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171088.

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Among the elderly, falling represents a major threat to the individual health, and is considered as a major source of morbidity and mortality. In Sweden alone, three elderly are lost each day in accidents related to falling. The elderly who survive the fall are likely to be suffering from decreased quality of life. As the percentage of elderly increase in the population worldwide, the need for preventive methods and tools will grow drastically in order to deal with the increasing health-care costs. This report is the result of a conceptual study where an algorithm for individualized motion mon

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Hosseinioun, Seyed Vahid. "Employing Sensor and Service Fusion to Assess Driving Performance." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32824.

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The remarkable increase in the use of sensors in our daily lives has provided an increasing number of opportunities for decision-making and automation of events. Opportunities for decision-making have further risen with the advent of smart technology and the omnipresence of sensors. Various methods have been devised to detect different events in a driving environment using smart-phones as they provide two main advantages: they remove the need to have dedicated hardware in vehicles and they are widely accessible. Rewarding safe driving has always been an important issue for insurance companie

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Edullakanti, Mohan Reddy Srikaran R. "Single channel on/off transmission in sensor-to-fusion links for decentralized detection in sensor networks /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1400965431&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Depoy, Randy S. Jr. "UHF-SAR and LIDAR Complementary Sensor Fusion for Unexploded Buried Munitions Detection." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1357843204.

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31

Jaradat, Mohammad Abdel Kareem Rasheed. "A hybrid system for fault detection and sensor fusion based on fuzzy clustering and artificial immune systems." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4780.

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In this study, an efficient new hybrid approach for multiple sensors data fusion and fault detection is presented, addressing the problem with possible multiple faults, which is based on conventional fuzzy soft clustering and artificial immune system (AIS). The proposed hybrid system approach consists of three main phases. In the first phase signal separation is performed using the Fuzzy C-Means (FCM) algorithm. Subsequently a single (fused) signal based on the information provided from the sensor signals is generated by the fusion engine. The information provided from the previous two phases

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Hu, Xi. "Network and sensor management for mulitiple sensor emitter location system." Diss., Online access via UMI:, 2008.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Electrical and Computer Engineering, 2008.<br>Includes bibliographical references.

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Habermann, Danilo. "Detecção e rastreamento de obstáculos com uso de sensor laser de varredura." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-20102010-150541/.

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Este trabalho apresenta um sistema de rastreamento de obstáculos, utilizando sensor laser 2D e filtro de Kalman. Este filtro não é muito eficiente em situações em que ocorrem severas perturbações na posição medida do obstáculo, como, por exemplo, um objeto rastreado passando por trás de uma barreira, interrompendo o feixe de laser por alguns instantes, tornando impossível receber do sensor as informações sobre sua posição. Este trabalho sugere um método de minimizar esse problema com o uso de um algoritmo denominado Corretor de Discrepâncias.<br>An obstacle detection and tracking system using

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Heideklang, René. "Data Fusion for Multi-Sensor Nondestructive Detection of Surface Cracks in Ferromagnetic Materials." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19586.

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Ermüdungsrissbildung ist ein gefährliches und kostenintensives Phänomen, welches frühzeitig erkannt werden muss. Weil kleine Fehlstellen jedoch hohe Testempfindlichkeit erfordern, wird die Prüfzuverlässigkeit durch Falschanzeigen vermindert. Diese Arbeit macht sich deshalb die Diversität unterschiedlicher zerstörungsfreier Oberflächenprüfmethoden zu Nutze, um mittels Datenfusion die Zuverlässigkeit der Fehlererkennung zu erhöhen. Der erste Beitrag dieser Arbeit in neuartigen Ansätzen zur Fusion von Prüfbildern. Diese werden durch Oberflächenabtastung mittels Wirbelstromprüfung, thermischer Pr

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Shakmak, B. H. "Condition monitoring of water leakage detection in buried pipes using sensor fusion systems." Thesis, Nottingham Trent University, 2016. http://irep.ntu.ac.uk/id/eprint/31336/.

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Water is significantly lost within water networks in most countries with an estimates of 30% would be lost due to leaks in water pipelines. Water leaks are one of the major factors facing the world, from waste water for no appropriate reason other than a lack of sustainable management programmes. This research work will investigates several sensor techniques and image/signal processing methods to detect water leaks within buried pipeline system. A sensor fusion method for the detection of water leakage in pipes, which consists of two or more sensory systems, is proposed in this research work.

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Barreto, Guerra Jean Paul. "Design of a mobile robot’s control system for obstacle identification and avoidance using sensor fusion and model predictive control." Master's thesis, Pontificia Universidad Católica del Perú, 2017. http://tesis.pucp.edu.pe/repositorio/handle/123456789/9507.

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The aim of this master thesis is to design a control system based on model predictive control (MPC) with sensor data fusion for obstacle avoidance. Since the amount of obtained data is larger due to multiple sensors, the required sampling time has to be larger enough in comparison with the calculation time of the optimal problem. Then it is proposed a simplification of the mobile robot model in order to reduce this optimization time. The sensor data fusion technique uses the range information of a laser scanner and the data of a mono-camera acquired from image processing techniques. In

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Novick, David Keith. "Implementation of a sensor fusion-based object-detection component for an autonomous outdoor vehicle." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000148.

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Thesis (Ph. D.)--University of Florida, 2002.<br>Title from title page of source document. Document formatted into pages; contains xi, 147 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Chavez, Garcia Ricardo Omar. "Multiple sensor fusion for detection, classification and tracking of moving objects in driving environments." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM034/document.

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Les systèmes avancés d'assistance au conducteur (ADAS) aident les conducteurs à effectuer des tâches de conduite complexes et à éviter ou atténuer les situations dangereuses. Le véhicule détecte le monde extérieur au moyen de capteurs, et ensuite construit et met à jour un modèle interne de la configuration de l'environnement. La perception de véhicule consiste à établir des relations spatiales et temporelles entre le véhicule et les obstacles statiques et mobiles dans l'environnement. Cette perception se compose de deux tâches principales : la localisation et cartographie simultanées (SLAM) t

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Egger, Sean Robert. "A Turbo Approach to Distributed Acoustic Detection and Estimation." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35866.

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Networked, multi-sensor array systems have proven to be advantageous in the sensor world. A large amount of research has been conducted with these systems, with a main interest in data fusion. Intelligently processing the large amounts of data collected by these systems is required in order to fully utilize the benefits of a multi-sensor array system. A robust but flexible simulation environment would provide a platform for accurately comparing current and future data fusion theories. This thesis proposes a simulator model for testing fusion theories for these acoustic multi-sensor networks.

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Nilsson, Albin. "Sensor fusion and fault diagnosticsin non-linear dynamical systems." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428958.

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Sensors are highly essential components in most modern control systems and are used in increasingly complex ways to improve system precision and reliability. Since they are generally susceptible to faults it is common to perform on-line fault diagnostics on sensor data to verify nominal behavior. This is especially important for safety critical systems where it can be imperative to identify, and react to, a fault before it increases in severity. An example of such a safety critical system is the propulsion control of a vehicle. In this thesis, three different model-based methods for Fault Dete

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Nurellari, Edmond. "Distributed detection and estimation in wireless sensor networks : resource allocation, fusion rules, and network security." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/17669/.

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This thesis addresses the problem of detection of an unknown binary event. In particular, we consider centralized detection, distributed detection, and network security in wireless sensor networks (WSNs). The communication links among SNs are subject to limited SN transmit power, limited bandwidth (BW), and are modeled as orthogonal channels with path loss, flat fading and additive white Gaussian noise (AWGN). We propose algorithms for resource allocations, fusion rules, and network security. In the first part of this thesis, we consider the centralized detection and calculate the optimal tran

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Cacciola, Stephen J. "Fusion of Laser Range-Finding and Computer Vision Data for Traffic Detection by Autonomous Vehicles." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/36126.

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The DARPA Challenges were created in response to a Congressional and Department of Defense (DoD) mandate that one-third of US operational ground combat vehicles be unmanned by the year 2015. The Urban Challenge is the latest competition that tasks industry, academia, and inventors with designing an autonomous vehicle that can safely operate in an urban environment. A basic and important capability needed in a successful competition vehicle is the ability to detect and classify objects. The most important objects to classify are other vehicles on the road. Navigating traffic, which includes

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Siraj, Ambareen. "A unified alert fusion model for intelligent analysis of sensor data in an intrusion detection environment." Diss., Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Bui, Manh-Tuan. "Vision-based multi-sensor people detection system for heavy machines." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2156/document.

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Ce travail de thèse a été réalisé dans le cadre de la coopération entre l’Université de Technologie de Compiègne (UTC) et le Centre Technique des Industries Mécaniques (CETIM). Nous présentons un système de détection de personnes pour l’aide à la conduite dans les engins de chantier. Une partie du travail a été dédiée à l’analyse du contexte de l’application, ce qui a permis de proposer un système de perception composé d’une caméra monoculaire fisheye et d’un Lidar. L’utilisation des caméras fisheye donne l’avantage d’un champ de vision très large avec en contrepartie, la nécessité de gérer le

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Komarabathuni, Ravi V. "Performance Assessment of a 77 GHz Automotive Radar for Various Obstacle Avoidance Application." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1304083389.

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Xiao, Xiangyu. "A Multiple Sensors Approach to Wood Defect Detection." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/11145.

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In the forest products manufacturing industry, recent price increases in the cost of high-quality lumber together with the reduced availability of this resource have forced manufacturers to utilize lower grade hardwood lumber in their manufacturing operations. This use of low quality lumber means that the labor involved in converting this lumber to usable parts is also increased because it takes more time to remove the additional defects that occur in the lower grade material. Simultaneously, labor costs have gone up and availability of skilled workers capable of getting a high yield of usab

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Zimmermann, Lars [Verfasser], Georg [Akademischer Betreuer] Fischer, and Georg [Gutachter] Fischer. "Sensor Fusion in Human Activity Recognition and Occupancy Detection / Lars Zimmermann ; Gutachter: Georg Fischer ; Betreuer: Georg Fischer." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2020. http://d-nb.info/1213979102/34.

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Stone, David L. "The Application of Index Based, Region Segmentation, and Deep Learning Approaches to Sensor Fusion for Vegetation Detection." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5708.

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This thesis investigates the application of index based, region segmentation, and deep learning methods to the sensor fusion of omnidirectional (O-D) Infrared (IR) sensors, Kinnect sensors, and O-D vision sensors to increase the level of intelligent perception for unmanned robotic platforms. The goals of this work is first to provide a more robust calibration approach and improve the calibration of low resolution and noisy IR O-D cameras. Then our goal was to explore the best approach to sensor fusion for vegetation detection. We looked at index based, region segmentation, and deep learning me

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Prodromos-Vasileios, Mekikis. "Design and Implementation of a Wireless Sensor Network for Smart Home Applications." Thesis, KTH, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104021.

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In smart homes devices take partial control of the house and make decisions that increase its safety and functionality. Due to the high cost of cable installation, wireless sensor networks are considered to be a good choice for smart home systems. In smart homes, to reliably detect events such as intrusions, gas leakages, or accidents, is an essential functionality. A correct control action, such as alarming or shutting gas pipes relies entirely on reliable event detection. Given that reliability is the major concern in these devices, detection solutions should be found that make decisions wit

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Rehman, Adeel ur. "Autonomous Fire Detection Robot Using Modified Voting Logic." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32008.

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Recent developments at Fukushima Nuclear Power Plant in Japan have created urgency in the scientist community to come up with solutions for hostile industrial environment in case of a breakdown or natural disaster. There are many hazardous scenarios in an indoor industrial environment such as risk of fire, failure of high speed rotary machines, chemical leaks, etc. Fire is one of the leading causes for workplace injuries and fatalities. The current fire protection systems available in the market mainly consist of a sprinkler systems and personnel on duty. In the case of a sprinkler system ther

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