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Thèses sur le sujet « Autonomous Driving »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 26 juillet 2025

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1

Tirumaladasu, Sai Subhakar, and Shirdi Manjunath Adigarla. "Autonomous Driving: Traffic Sign Classification." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17783.

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Autonomous Driving and Advance Driver Assistance Systems (ADAS) are revolutionizing the way we drive and the future of mobility. Among ADAS, Traffic Sign Classification is an important technique which assists the driver to easily interpret traffic signs on the road. In this thesis, we used the powerful combination of Image Processing and Deep Learning to pre-process and classify the traffic signs. Recent studies in Deep Learning show us how good a Convolutional Neural Network (CNN) is for image classification and there are several state-of-the-art models with classification accuracies over 99

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Ávila, Emanuel da Silva. "Servo-pilot for autonomous driving." Master's thesis, Universidade de Aveiro, 2010. http://hdl.handle.net/10773/2537.

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Mestrado em Engenharia Mecânica<br>Foram simulados numericamente jogos de recursos públicos em redes usando algoritmo de Monte Carlo. Foram usadas redes regulares unidimensionais em anel, redes regulares bidimensionais (rede quadrada) e redes scale-free. São apresentados os métodos seguidos, a teoria e os algoritmos usados. Estes jogos apresentam uma transição de fase entre uma fase dominada por oportunistas de uma fase dominada por cooperadores em função de um parâmetro de rendimento das contribuições. Foi encontrado um intervalo, dependente do número médio de vizinhos, para o qual a fracção

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Hernández, Juárez Daniel. "Embedded 3D Reconstruction for Autonomous Driving." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/671166.

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L’objectiu d’aquesta tesi és estudiar algoritmes de reconstrucció 3D adequats per a la conducció autònoma. Per fer-ho, necessitem implementacions i representacions ràpides de l’entorn 3D que tinguin en compte la informació geomètrica i semàntica. L’ús de paral·lelització CUDA i GPU permet aprofitar maquinari flexible i programable d’alt rendiment per complir els requisits de temps exigents. La tesi presenta tres contribucions principals. En primer lloc, descrivim la paral·lelització del conegut algorisme d’estèreo basat en el Semi-Global Matching (SGM), que estima la profunditat a partir de

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Zivkovic, A. (Aleksandar). "Development of autonomous driving using ROS." Master's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201806062488.

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Autonomous driving, or self-driving, is the ability of a vehicle to drive itself without human input. To achieve this, the vehicle uses mechanical and electronic parts, sensors, actuators and an on-board computer. The on-board computer runs sophisticated software which allows the vehicle to perceive and understand its environment based on sensor input, localise itself in that environment and plan the optimal route from point A to point B. Autonomous driving is no longer a thing of the future, and to develop autonomous driving solutions is a highly valuable skill in today’s software engineering

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Liebenwein, Lucas. "Contract-based safety verification for autonomous driving." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120366.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 77-83).<br>The safe, successful deployment of autonomous systems under real-world conditions, in part, hinges upon providing rigorous performance and safety guarantees. This thesis considers the problem of establishing and veri

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Yin, Ji. "Trajectory Planning for Off-road Autonomous Driving." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233397.

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The thesis develops a trajectory planner which operates in a formula racing scenario. The proposed trajectory planner gives time-optimal off-road trajectory planning solutions and generates sequences of control signals for the vehicle to follow the trajectory. Outputs of the trajectory planner are time-optimal trajectory, steering angle, resultant force of brake and throttle. The trajectory planner is designed to have two modes, the Exploring mode which is based on Rapidly-exploring Random Tree (RRT), and the optimization mode which is built upon optimal Rapidly-exploring random tree (RRT*). T

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Jaritz, Maximilian. "2D-3D scene understanding for autonomous driving." Thesis, Université Paris sciences et lettres, 2020. https://pastel.archives-ouvertes.fr/tel-02921424.

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Dans cette thèse, nous abordons les défis de la rareté des annotations et la fusion de données hétérogènes tels que les nuages de points 3D et images 2D. D’abord, nous adoptons une stratégie de conduite de bout en bout où un réseau de neurones est entraîné pour directement traduire l'entrée capteur (image caméra) en contrôles-commandes, ce qui rend cette approche indépendante des annotations dans le domaine visuel. Nous utilisons l’apprentissage par renforcement profond où l'algorithme apprend de la récompense, obtenue par interaction avec un simulateur réaliste. Nous proposons de nouvelles st

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Oliveira, José Ricardo Marques de. "World representation for an autonomous driving robot." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/2121.

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Mestrado em Engenharia de Computadores e Telemática<br>Condução autónoma constitui a deslocação de um agente, robô ou veículo, de um qualquer ponto no espaço para um outro, sem qualquer intervenção humana, por forma a atingir objectivos pré-estabelecidos. Para conduzir de forma autónoma, usando planeamento de trajectória, é crucial que o agente consiga representar abstractamente tanto o conhecimento a priori acerca do mundo, como a informação que este vai adquirindo à medida que avança. Para alcançar este propósito, desenvolveu-se um sistema para ser usado na pista da Competição de Condução Au

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Sequeira, Miguel da Rosa Carvalhal. "Perception and intelligent localization for autonomous driving." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/2172.

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Mestrado em Engenharia de Computadores e Telemática<br>Visão por computador e fusão sensorial são temas relativamente recentes, no entanto largamente adoptados no desenvolvimento de robôs autónomos que exigem adaptabilidade ao seu ambiente envolvente. Esta dissertação foca-se numa abordagem a estes dois temas para alcançar percepção no contexto de condução autónoma. O uso de câmaras para atingir este fim é um processo bastante complexo. Ao contrário dos meios sensoriais clássicos que fornecem sempre o mesmo tipo de informação precisa e atingida de forma determinística, as sucessivas imagens a

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Wei, Junqing. "Autonomous Vehicle Social Behavior for Highway Driving." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/919.

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In recent years, autonomous driving has become an increasingly practical technology. With state-of-the-art computer and sensor engineering, autonomous vehicles may be produced and widely used for travel and logistics in the near future. They have great potential to reduce traffic accidents, improve transportation efficiency, and release people from driving tasks while commuting. Researchers have built autonomous vehicles that can drive on public roads and handle normal surrounding traffic and obstacles. However, in situations like lane changing and merging, the autonomous vehicle faces the cha

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Thilén, Emma. "Robust Model Predictive Control for Autonomous Driving." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211846.

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Autonomous driving is becoming popular nowadays. In order for autonomouscars to be fully accepted, high demands are placed on the safety side. Onesafety critical issue is the robustness to disturbances. In this work, a robustmodel predictive controller is designed for an autonomous vehicle. More specifically,robust output feedback model predictive control (ROFMPC) is used, androbustness is guaranteed through the use of robust invariant sets. The vehicleis modeled using a discretized, and linearized, version of a simple kinematicbicycle model, expressed in road-aligned coordinates. It is invest

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Langner, Tobias [Verfasser]. "Visual Perception for Autonomous Driving / Tobias Langner." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1205735518/34.

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Calem, Laura. "Action and trajectory prediction for Autonomous Driving." Electronic Thesis or Diss., Paris, HESAM, 2024. http://www.theses.fr/2024HESAC011.

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Cette thèse de doctorat, dans le contexte applicatif de la conduite autonome, se concentre sur l'exploration des mécanismes favorisant la diversité dans les modèles génératifs, qui produisent une distribution probabiliste des trajectoires futures étant donné les trajectoires passées. Les ensembles de données de prévision de trajectoire ne fournissant qu'une trajectoire future pour une trajectoire passée et une disposition spatiale de scène données, de nombreuses méthodes existantes se concentrent sur la précision de la meilleure trajectoire prédite par rapport à la trajectoire future (vérité t

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Olsson, Magnus. "Behavior Trees for decision-making in Autonomous Driving." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183060.

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This degree project investigates the suitability of using Behavior Trees (BT) as an architecture for the behavioral layer in autonomous driving. BTs originate from video game development but have received attention in robotics research the past couple of years. This project also includes implementation of a simulated traffic environment using the Unity3D engine, where the use of BTs is evaluated and compared to an implementation using ﬁnite-state machines (FSM). After the initial implementation, the simulation along with the control architectures were extended with additional behaviors in four

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Selvaggi, Kevin. "Synthetic-to-Real Domain Adaptation for Autonomous Driving." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Questa tesi rappresenta il risultato di un tirocinio svolto presso il reparto di test di Siemens Industry Software NV Leuven, in Belgio. Il primo obiettivo è stato quello di avere una visione generale sul settore della guida autonoma e delle relative tecnologie: si presenta quindi un'analisi della letteratura. Il campo è stato quindi ristretto ai riconoscitori di oggetti 2D che utilizzano sensori automotive come dispositivi di input. Dopo uno studio dello stato dell'arte di architetture di reti neurali e dei corrispondenti dataset usati per l'allenamento in questo settore, la domanda di

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Suresh, Kumar Swarun. "CarSpeak : a content-centric network for autonomous driving." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/75718.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 75-79).<br>We introduce CarSpeak, a communication system for autonomous driving. CarSpeak enables a car to query and access sensory information captured by other cars in a manner similar to how it accesses information from its local sensors. CarSpeak adopts a content-centric approach where information objects - i.e., regions along the road - are first class citizens. It names and accesses road regio

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Elhassan, Amro. "Autonomous driving system for reversing an articulated vehicle." Thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175373.

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Articulated vehicles are widely used in the economically vital cargo industry as they provide a greater maneuverability than their rigid counterparts. Hence, autonomous driving systems for articulated vehicles have become the subject of intense research in the robotic community. This thesis analyzes the reverse motion of an articulated vehicle, namely a tractor-trailer with one on-axle hitched semitrailer, and develops a full autonomous driving system that enables reverse parking in the presence of static obstacles. The motion controller used in the autonomous driving system is based on a two-

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Nordell, Benjamin. "Trajectory Planning for Autonomous Vehicles and Cooperative Driving." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194496.

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Autonomous vehicles have been the subject of intense research, resulting in many of the latest cars being at least partly self driving. Cooperative driving extends this to a group of vehicles called a platoon, relying on com-munication between the vehicles in order to increase safety and improve the ˛ow of tra°c. This thesis is partly done in context of Grand Cooperative Driving Challenge (GCDC) 2016 where KTH has participated with a Scania truck and the Research Concept Vehicle (RCV), an electric prototype car.Trajectory planning is investigated for the longitudinal control of both the truck

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Dsouza, Rodney Gracian. "Deep Learning Based Motion Forecasting for Autonomous Driving." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619139403696822.

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Don&#224, Riccardo. "Agent for Autonomous Driving based on Simulation Theories." Doctoral thesis, Università degli studi di Trento, 2004. http://hdl.handle.net/11572/300743.

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The field of automated vehicle demands outstanding reliability figures to be matched by the artificially driving agents. The software architectures commonly used originate from decades of automation engineering, when robots operated only in confined environments on predefined tasks. On the other hand, autonomous driving represents an “into the wild” application for robotics. The architectures embraced until now may not be sufficiently robust to comply with such an ambitious goal. This research activity proposes a bio-inspired sensorimotor architecture for cognitive robots that addresses the la

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VanValkenburg, MaryAnn E. "Alloy-Guided Verification of Cooperative Autonomous Driving Behavior." Digital WPI, 2020. https://digitalcommons.wpi.edu/etd-theses/1354.

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Alloy is a lightweight formal modeling tool that generates instances of a software specification to check properties of the design. This work demonstrates the use of Alloy for the rapid development of autonomous vehicle driving protocols. We contribute two driving protocols: a Normal protocol that represents the unpredictable yet safe driving behavior of typical human drivers, and a Connected protocol that employs connected technology for cooperative autonomous driving. Using five properties that define safe and productive driving actions, we analyze the performance of our protocols in mixed t

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Shao, Yunming. "Image-based Perceptual Learning Algorithm for Autonomous Driving." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503302777088283.

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Pradhan, Neil. "Deep Reinforcement Learning for Autonomous Highway Driving Scenario." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289444.

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We present an autonomous driving agent on a simulated highway driving scenario with vehicles such as cars and trucks moving with stochastically variable velocity profiles. The focus of the simulated environment is to test tactical decision making in highway driving scenarios. When an agent (vehicle) maintains an optimal range of velocity it is beneficial both in terms of energy efficiency and greener environment. In order to maintain an optimal range of velocity, in this thesis work I proposed two novel reward structures: (a) gaussian reward structure and (b) exponential rise and fall reward s

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Yi, Siqi. "Multi-sensor Geo-localisation for Urban Autonomous Driving." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/28003.

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Robust and persistent localisation is essential for ensuring the safe operation of autonomous vehicles. When operating in vast and diverse urban driving environments, autonomous vehicles are frequently exposed to operating situations that violate the assumptions of algorithms or lead to a loss of localisation. To guarantee driving safety, localisation systems must achieve a high level of accuracy all of the time and anywhere, without the need for human intervention. To satisfy these requirements, we propose a novel localisation framework that can coordinate a multiple sensor switching strat

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Yuan, Zhenxun. "Transformer-based 3D Object Detection for Autonomous Driving." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27302.

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Object detection is one of the most important directions in computer vision, where the task is to find out the targets of interest in an image and determine their location and class. With the development of deep learning in recent years, object detection has formed a wide range of applications in various fields, such as intelligent robotics and autonomous driving. And with the expansion of application scenarios, the object detection task has been extended for temporal and 3D spacial. In the temporal dimension, image data in most application scenarios are acquired as video streams, so video-bas

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Boroujeni, Zahra [Verfasser]. "Local Trajectory Planning for Autonomous Driving / Zahra Boroujeni." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1219904805/34.

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Al-Khoury, Fadi. "Safety of Machine Learning Systems in Autonomous Driving." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218020.

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Machine Learning, and in particular Deep Learning, are extremely capable tools for solving problems which are difficult, or intractable to tackle analytically. Application areas include pattern recognition, computer vision, speech and natural language processing. With the automotive industry aiming for increasing amount of automation in driving, the problems to solve become increasingly complex, which appeals to the use of supervised learning methods from Machine Learning and Deep Learning. With this approach, solutions to the problems are learned implicitly from training data, and inspecting

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Donà, Riccardo. "Agent for Autonomous Driving based on Simulation Theories." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/300743.

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The field of automated vehicle demands outstanding reliability figures to be matched by the artificially driving agents. The software architectures commonly used originate from decades of automation engineering, when robots operated only in confined environments on predefined tasks. On the other hand, autonomous driving represents an “into the wild” application for robotics. The architectures embraced until now may not be sufficiently robust to comply with such an ambitious goal. This research activity proposes a bio-inspired sensorimotor architecture for cognitive robots that addresses the la

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Donà, Riccardo. "Agent for Autonomous Driving based on Simulation Theories." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/300743.

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The field of automated vehicle demands outstanding reliability figures to be matched by the artificially driving agents. The software architectures commonly used originate from decades of automation engineering, when robots operated only in confined environments on predefined tasks. On the other hand, autonomous driving represents an “into the wild” application for robotics. The architectures embraced until now may not be sufficiently robust to comply with such an ambitious goal. This research activity proposes a bio-inspired sensorimotor architecture for cognitive robots that addresses the la

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Roldão, Jimenez Luis Guillermo. "3D Scene Reconstruction and Completion for Autonomous Driving." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS415.

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Dans cette thèse, nous nous intéressons à des problèmes liés à la reconstruction et la complétion des scènes 3D à partir de nuages de points de densité hétérogène. Nous étudions l'utilisation de grilles d'occupation tridimensionnelles pour la reconstruction d'une scène 3D à partir de plusieurs observations. Nous proposons d'exploiter les informations de trajet des rayons pour résoudre des ambiguïtés dans les cellules partiellement occupées. Notre approche permet de réduire les imprécisions dues à la discrétisation et d'effectuer des mises à jour d'occupation des cellules dans des scénarios dyn

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Agha, Jafari Wolde Bahareh. "A systematic Mapping study of ADAS and Autonomous Driving." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-42754.

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Nowadays, autonomous driving revolution is getting closer to reality. To achieve the Autonomous driving the first step is to develop the Advanced Driver Assistance System (ADAS). Driver-assistance systems are one of the fastest-growing segments in automotive electronics since already there are many forms of ADAS available. To investigate state of art of development of ADAS towards Autonomous Driving, we develop Systematic Mapping Study (SMS). SMS methodology is used to collect, classify, and analyze the relevant publications. A classification is introduced based on the developments carried out

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Burgei, David. "Autonomous Edge Cities:Revitalizing Suburban Commercial Centers with Autonomous Vehicle Technology and New (sub)Urbanist Principles." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504798936197976.

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Franke, Cameron. "Autonomous Driving with a Simulation Trained Convolutional Neural Network." Scholarly Commons, 2017. https://scholarlycommons.pacific.edu/uop_etds/2971.

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Autonomous vehicles will help society if they can easily support a broad range of driving environments, conditions, and vehicles. Achieving this requires reducing the complexity of the algorithmic system, easing the collection of training data, and verifying operation using real-world experiments. Our work addresses these issues by utilizing a reflexive neural network that translates images into steering and throttle commands. This network is trained using simulation data from Grand Theft Auto V~\cite{gtav}, which we augment to reduce the number of simulation hours driven. We then validate our

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Azmat, Muhammad. "Impact of autonomous vehicles on urban mobility." Institut für Transportwirtschaft und Logistik, WU Wien, 2015. http://epub.wu.ac.at/4633/1/WU_MSc_SCM_Master_Thesis.pdf.

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The urban population is growing at an exponential rate throughout the world leading to the problems related to swift and speedy mobility or issues caused by convectional mobility options. This study illustrates and explores the new ways to transport people specially taking into account the self-driving cars concept and discusses the concept of mobility 4.0 (smart / intelligent mobility) and briefly highlights the technological aspects of autonomous vehicles, adaptation advantages and progress in laws and legislations of autonomous vehicle. The study is primarily qualitative and relies on the w

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Isaksson, Palmqvist Mia. "Model Predictive Control for Autonomous Driving of a Truck." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187668.

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Platooning and cooperative driving can decrease the emissions of greenhouse gases and increase the traﬃc capacity of the roads. The Grand Cooperative Driving Challenge, GCDC, is a competition that will be held in May 2016 focusing on cooperative driving. A cornerstone in the cooperative driving is autonomous driving. The main objective of this thesis is to design a Model Predictive Control for a truck so it autonomously can perform the following tasks: follow a straight road, make a lane change and make a turn. Constraints are added to the vehicle states and the control signals. Additionally,

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Villalonga, Pineda Gabriel. "Leveraging Synthetic Data to Create Autonomous Driving Perception Systems." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/671739.

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L’anotació manual d’imatges per desenvolupar sistemes basats en visió per computador ha estat un dels punts més problemàtics des que s’utilitza aprenentatge automàtic per a això. Aquesta tesi es centra en aprofitar les dades sintètiques per alleujar el cost de les anotacions manuals en tres tasques de percepció relacionades amb l’assistència a la conducció i la conducció autònoma. En tot moment assumim l’ús de xarxes neuronals convolucionals per al desenvolupament dels nostres models profunds de percepció. La primera tasca planteja el reconeixement de senyals de trànsit, un problema de classif

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Sharma, Devendra. "Evaluation and Analysis of Perception Systems for Autonomous Driving." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291423.

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For safe mobility, an autonomous vehicle must perceive the surroundings accurately. There are many perception tasks associated with understanding the local environment such as object detection, localization, and lane analysis. Object detection, in particular, plays a vital role in determining an object’s location and classifying it correctly and is one of the challenging tasks in the self-driving research area. Before employing an object detection module in autonomous vehicle testing, an organization needs to have a precise analysis of the module. Hence, it becomes crucial for a company to hav

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Hagström, Jesper. "Conditional Imitation Learning for Autonomous Driving : Comparing two approaches." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292200.

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Syftet med denna studie var att bygga, träna och testa two olika självkörande agenter med hjälp av maskininlärningstekniker, specifikt neurala nätverk. För att träna agenterna användes en teknik kallad Imitationsinlärning. Imitationsinlärning är en teknik för att lära agenter sekventiell beslutsfattning genom demostrering från en expert (vanligtvis en människa). Två något olika nätverksarkitekturer jämfördes. Skillnaden mellan dessa var att den kontrollmodul för en specifik intention (vilket här betecknar t.ex. åt vilket håll man ska köra i en korsning) var placerad antingen tidigt eller sent

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Xia, Wanru. "High-definition map creation and update for autonomous driving." Thesis, KTH, Geoinformatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298491.

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Autonomous driving technology is now evolving at an unprecedented speed. HD maps, which are embedded with highly precise and detailed road spatial and object information, play an important role in supporting autonomous vehicles. This thesis presents the development of a semi-automated HD map creation and updating method that is capable of extracting basic road feature information to HD maps by employing raw MLS point cloud data. The proposed HD map creation method consists of four steps: Road edge extraction, road surface extraction, road marking extraction and driving line generation. First,

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Marques, Patrick Ferreira. "Concurrent architecture for control of an autonomous driving vehicle." Master's thesis, Universidade de Aveiro, 2010. http://hdl.handle.net/10773/3706.

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Mestrado em Engenharia de Computadores e Telemática<br>Os robôs autónomos e os veículos não tripulados são vertentes da robótica de forte investigação durante os últimos anos, especialmente para o desenvolvimento de veículos autónomos destinados à exploração de lugares inóspitos. Um robô autónomo é uma máquina que consegue ser independente e regida pelas suas próprias leis, um sistema que consegue sobreviver num ambiente natural sem intervenção humana. Hoje em dia são muitos os sistemas disponíveis (como por exemplo GPS e visão computorizada) que ajudam os robôs a sobreviver, sendo o gra

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Tazir, Mohamed Lamine. "Precise localization in 3D prior map for autonomous driving." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC047/document.

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Les véhicules autonomes, qualifiés aussi de véhicules sans conducteur, deviennent dans certains contextes une réalité tangible et partageront très bientôt nos routes avec d’autres véhicules classiques. Pour qu’un véhicule autonome se déplace de manière sécurisée, il doit savoir où il se trouve et ce qui l’entoure dans l’environnement. Pour la première tâche, pour déterminer sa position dans l’environnement, il doit se localiser selon six degrés de liberté (position et angles de rotation). Alors que pour la deuxième tâche, une bonne connaissance de cet environnement « proche » est nécessaire, c

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Yevdokymenkova, Kateryna, and Катерина Андріївна Євдокименкова. "Autonomous transport of the future." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50582.

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1. GEAR 2030 and Strategy 2018-2020 – Comparative analysis of the competitive position of the EU automotive industry and the impact of the introduction of autonomous vehicles [Electronic resource] // Publications Office of the EU. – 2020. – Access mode: https://cutt.ly/QcoLTmU. 2. Unmanned multi-purpose vehicles: modern technologies / O. Ya. Nikonov, L. E. Kulakova, T. O. Polosukhina, V. O. Chernyshov. // Automotive and Electronics. Modern technology.. – 2017. – №11. – С. 46–49. Scientific adviser - doctor of Economics, professor Yanchuk M.B.<br>The idea of autonomous car control has exist

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Behere, Sagar. "Reference Architectures for Highly Automated Driving." Doctoral thesis, KTH, Inbyggda styrsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-179306.

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Highly automated driving systems promise increased road traffic safety, as well as positive impacts on sustainable transportation by means of increased traffic efficiency and environmental friendliness. The design and development of such systems require scientific advances in a number of areas. One area is the vehicle's electrical/electronic (E/E) architecture. The E/E architecture can be presented using a number of views, of which an important one is the functional view. The functional view describes the decomposition of the system into its main logical components, along with the hierarchical

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AL, Matouq Salman M. "Investigating the Impact of Buffer Time on Driving Behavior in Autonomous Intersections." Youngstown State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588786374908375.

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Vaquero, Gómez Víctor. "Lidar-based scene understanding for autonomous driving using deep learning." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2020. http://hdl.handle.net/10803/671062.

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With over 1.35 million fatalities related to traffic accidents worldwide, autonomous driving was foreseen at the beginning of this century as a feasible solution to improve security in our roads. Nevertheless, it is meant to disrupt our transportation paradigm, allowing to reduce congestion, pollution, and costs, while increasing the accessibility, efficiency, and reliability of the transportation for both people and goods. Although some advances have gradually been transferred into commercial vehicles in the way of Advanced Driving Assistance Systems (ADAS) such as adaptive cruise control, bl

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Behere, Sagar. "Architecting Autonomous Automotive Systems : With an emphasis on Cooperative Driving." Licentiate thesis, KTH, Inbyggda styrsystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-120595.

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The increasing usage of electronics and software in a modern automobile enables realization of many advanced features. One such feature is autonomous driving. Autonomous driving means that a human driver’s intervention is not required to drive the automobile; rather, theautomobile is capable of driving itself. Achieving automobile autonomyrequires research in several areas, one of which is the area of automotive electrical/electronics (E/E) architectures. These architectures deal with the design of the computer hardware and software present inside various subsystems of the vehicle, with partic

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Wong, Joanne (Joanne Sharon). "Driving toward monopoly : regulating autonomous mobility platforms as public utilities." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118227.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 95-101).<br>Autonomous vehicles (AV) have captured the collective imagination of everyone from traditional auto manufacturers to computer software startups, from government administrators to urban planners. This thesis articulates a likely future for the deployment of AVs. Through stakeholder interviews and industry case studies, I show that there is general optimism about the progress of AV technology and

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Deyo, Matthew Quinn. "Online risk-aware conditional planning with qualitative autonomous driving applications." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115679.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 89-91).<br>Driving is often stressful and dangerous due to uncertainty in the actions of nearby vehicles. Having the ability to model driving maneuvers qualitatively and guarantee safety bounds in uncertain traffic scenarios are two steps towards building trust in vehicle autonomy. In this thesis, we present an approach to the problem of Qualitative Autonomous Driving (QAD) using risk-bounded conditional pl

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García, López Javier. "Geometric computer vision meets deep learning for autonomous driving applications." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2021. http://hdl.handle.net/10803/672708.

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This dissertation intends to provide theoretical and practical contributions on the development of deep learning algorithms for autonomous driving applications. The research is motivated by the need of deep neural networks (DNNs) to get a full understanding of the surrounding area and to be executed on real driving scenarios with real vehicles equipped with specific hardware, such as memory constrained (DSP or GPU platforms) or multiple optical sensors, which constraints the algorithm's development forcing the designed deep networks to be accurate, with minimum number of operations and low

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Qiu, Yesiliang. "Autonomous Tick Collection Robot: Platform Development and Driving System Control." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613752543210849.

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