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.
Results
Showing 1 to 20 of 143 for “"self-driving"”.
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High resolution millimeter wave imaging for self-driving cars
… wave (mmWave) technology for imaging in self-driving cars. Specifically, the use of mmWave in 5G has led to the creation of compact phased arrays with hundreds of antenna elements that can be electronically steered. Such phased arrays can expand the use of mmWave beyond vehicular …
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Neuro-evolution search methodologies for collective self-driving vehicles
… 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 constructed and thus this …
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Towards self-driving navigation control systems for a rideable ballbot
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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A dynamic knowledge graph approach to self-driving chemical laboratories
The contemporary design of self-driving laboratories faces difficulties in scalability and interoperability when it comes to the vision of a globally connected research network. This is due to heterogeneous data formats and resources as an obstacle to holistic integration. This thesis investigates …
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The Ducklingbot : a self-driving robot on a Pi Zero
This paper describes a MEng thesis project conducted with the Duckietown group at MIT's CSAIL. During the duration of the project, the Duckietown software suite and ROS was made to run on the Raspberry Pi Zero (Or Raspberry Pi Zero W) hardware. The chassis and size of the bot is scaled down from …
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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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Accurate detection for self driving cars using multi-resolution MIMO radar
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms
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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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Sim-on-wheels: Physical world in the loop simulation for self-driving
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Safety of Self-driving Cars: A Case Study on Lane Keeping Systems
… learning is a powerful method to handle the self-driving problem. Researchers use machine learning to construct a neural network and train it to drive the car. A self-driving car is a safety-critical system. However, the neural network is not necessarily reliable. The output of a neural …
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Development of Real Time Self Driving Software for Wheeled Robot with UI based Navigation
Autonomous Vehicles are complex modular systems with various inter-dependent safety critical modules, the failure of which leads to failure of the overall system. The Localization system, which estimates the pose of the vehicle in the global coordinate frame with respect to a map, has a drift in …
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Design and implementation of a magnetic rotary wheel encoder for a self-driving robotic vehicle
… 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 (SLAM) algorithm, this magnetic wheel encoder was designed and implemented to …
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Developing a simulator to aid in the design of a safety interlock for self-driving cars
Self-driving cars have tremendous potential to be safer than human drivers, but are complex systems for which evaluating safety is challenging: using a statistical approach requires self-driving cars to have clocked on the order of billions of miles of driving to present convincing evidence. Thus …
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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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Towards a transparency-based, value-sensitive design solution for bias in self-driving cars: An ethical violation assessment and risk analysis framework on consumer-held values
… and artificial intelligence (AI), particularly, self-driving cars (SDCs), has attracted significant investments and can potentially contribute to humanity’s flourishing. However, before widespread adoption, it is important to address ethical violations such as bias in AI, highlighted by many …
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Affordable autonomous lightweight personal mobility
Self-driving cars and micro-mobility services are among the most important trends in the mobility landscape. While robo-taxi services are still in the pilot phase, residents in many cities today are adopting micro-mobility services as a more affordable and energy-efficient last-mile alternative to …
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An intelligent intrusion detection system for external communications in autonomous vehicles
… 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 communicate through open wireless channels. This thesis studies the design and implementation of a novel intelligent …
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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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Attacking Computer Vision Models Using Occlusion Analysis to Create Physically Robust Adversarial Images
<p>Self-driving cars rely on their sense of sight to function effectively in chaotic and uncontrolled environments. Thanks to recent developments in computer vision, specifically convolutional neural networks, autonomous vehicles have developed the ability to see at or above human-level …
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