Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 26 for “"Self Driving Vehicles"”.
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Neuro-evolution search methodologies for collective self-driving vehicles
… an increasing amount of research into autonomous vehicles for real-world driving. Much progress has been made in the past decade with many automotive manufacturers demonstrating real-world prototypes. Current predictions indicate that roads designed exclusively for autonomous vehicles will be …
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Agent-based ethical decision-making control optimization framework for self-driving vehicles
When driving, humans balance values like safety, legality, and mobility. When sharing the road with humans, an autonomous vehicle will likely use the same values. Incorporating human values into algorithm design is tough for self-driving vehicle engineers. To address this problem, a decision-making …
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Development of Sustainable Traffic Control Principles for Self-Driving Vehicles: A Paradigm Shift Within the Framework of Social Justice
Developments of commercial self-driving vehicle (SDV) technology has a potential for a paradigm shift in traffic control technology. Contrary to some previous research approaches, this research argues that, as any other technology, traffic control technology for SDVs should be developed having in …
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Procedural synthetic data for self-driving cars using 3D graphics
… for procedurally generating synthetic data for self-driving vehicles. To address the problem of data hungry vision-based learning algorithms used in self-driving vehicles, we develop a system that generates synthetic images, including class level annotations, of street scenes. To give …
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An intelligent intrusion detection system for external communications in autonomous vehicles
… have resulted in the creation of a new class of vehicles called autonomous vehicles. These vehicles function using sensory input with an on-board computation system. Self-driving vehicles use an ad hoc vehicular network called VANET. The network has ad hoc infrastructure with mobile vehicles that …
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Efficient reinforcement learning through variance reduction and trajectory synthesis
… important AI applications, such as robotics, self-driving vehicles. However, current reinforcement learning algorithms suffer from large variance and sampling inefficiency, which leads to slow convergent rate as well as unstable performance. In this thesis, we manage to alleviate these two …
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Driverless dreams : technological narratives and the shape of the automated car
… cars, popularly rendered as "driverless" or "self-driving" cars, are a major sector of technological development in artificial intelligence and present a variety of questions for design, policy, and the culture at large. This work addresses the dominant narratives and ideologies around …
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Design and implementation of a magnetic rotary wheel encoder for a self-driving robotic vehicle
… wheel encoder for a fleet of autonomous electric vehicles that will provide shuttle service across MIT's campus. Currently no self-driving vehicles exist for such a function, especially for mobility on a college campus. In an effort to assist the system's simultaneous localization and mapping …
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Robot designed for socially acceptable navigation
Autonomous (self-driving) vehicles are increasingly being tested on highways and city streets. But there is also a need for robots that can navigate through environments like sidewalks, buildings, and hallways. In these situations, the robots must interact and cooperate with pedestrians in a …
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Design and development of a context-aware collaborative autonomous real-time vehicle systems framework
… systems, with applications extending from self-driving vehicles to home-based robots, has emerged as a critical area of focus in modern research. Yet, to acknowledge the full potential of these systems, numerous challenges must be addressed. This thesis encapsulates rigorous research …
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Resilient Object Perception for Robotics
… applications, ranging from search and rescue to self-driving vehicles, requires robots to perceive and understand the geometry of objects in the environment. Object perception needs to reliably work in a variety of scenarios and preserve a desired level of performance in the face of outliers and …
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Context-aware pedestrian intent prediction for connected and automated vehicles
… safety. Advanced safety features in assisted and self-driving vehicles have the potential to augment situational awareness and improve the safety of road users. Detecting pedestrian intention is a key element in providing safer urban environments to automated vehicles. However, the complexity …
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Multi-agent Spatiotemporal Simulation of Autonomous Vehicle Fleet Operation
Autonomous vehicle fleets, consisting of self-driving vehicles, are at the forefront of transportation innovation. The appearance of autonomous vehicles (AVs) provides a new solution for traffic problems and a new market for transportation network companies such as DiDi and Uber. Conducting …
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A system theoretic approach to cybersecurity risks analysis of passenger autonomous vehicles
… ride services, as well as connected and self-driving vehicles. Technological advancements often lead to new hazards and changing nature in how accidents can happen. Coupled with increased levels of automation and connectivity in the new generation of autonomous vehicles, cybersecurity is …
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Automatic Co-Synthesis of Hardware and Software Safety Monitors for Embedded Systems
… especially in modern applications such as self-driving vehicles, where safety requires both accurate functionality and real-time guarantees. However, the complexity and the integration of artificial intelligence and machine learning algorithms in autonomous systems challenge conventional …
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Estimation of Driver Behavior for Autonomous Vehicle Applications
… One CPS application area is in autonomous vehicles. Autonomous (or self-driving) vehicles are likely to be an upcoming revolution in personal and commercial transportation. While there are many outstanding public policy questions, this technology promises to improve our quality of life by …
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System Design and Analysis for Creating a 3D Virtual Street Scene for Autonomous Vehicles Using Geometric Proxies from a Single Video Camera
<p>Self-driving vehicles use a variety of sensors to understand the environment they are in. In order to do so, they must accurately measure the distances and positions of the objects around them. A common representation of the environment around the vehicle is a 3D point cloud, or a set of 3D data …
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Collision and Avoidance Modelling of Autonomous Vehicles using Genetic Algorithm and Neural Network
… to study the optimisation problems in autonomous vehicles, especially the modelling and optimisation of collision avoidance, and to develop some optimisation algorithms based on genetic algorithms and neural networks to operate autonomous vehicles without any collision. Autonomous vehicles, also …
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Homo prospectus to robo prospectus : towards predictive algorithms for advanced autonomous vehicle perception
… are key factors in the autonomy stack of self-driving vehicles. They help to avoid potential collisions and plan safe paths.This thesis presents a comprehensive investigation into the enhancement of intention and trajectory prediction in Autonomous Vehicles (AV) through a multi-faceted …
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A Practical Deep Learning Approach to Detect Aggressive Driving Behaviour
Accidents while driving might result in minor injuries. Alternatively, it might result in a loss of life, which is highly detrimental to society. The loss of an expert due to fatalities can have a tremendous influence on humanity's scientific growth. Three factors can lead to accidents on the road: …
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