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 16 of 16 for “"Autonomous Driving Systems"”.
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Framework for Optimally Constrained Autonomous Driving Systems
The development of Automated Driving Systems (ADS) has been ongoing for decades in varying levels of sophistication. Levels of automation are defined by Society of American Engineers (SAE) as 0 through 5, with 0 being full human control and 5 being full automation control. Another way to describe …
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A two-level path planning and monitoring architecture for real-world autonomous driving systems
In the past two decades, the safety of autonomous vehicles has drawn in-creasing attention from both academic researchers and industrial experts.This work presents a novel two-level path planning and monitoring architecture to promote safety in autonomous driving. We implemented a HybridA* offline …
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Disruptiver Wandel der Automobilindustrie durch autonome Fahrsysteme - Reaktionsstrategien für etablierte Automobilhersteller
… are facing a disruptive change initiated by autonomous driving systems. Autonomous vehicles promise to bring great benefits to society, a promising business opportunity for mobility providers, but at the same time facing the incumbent automotive industry with the greatest technological …
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A distributed multi-vehicle architecture for autonomous driving simulation with an application to autonomous valet parking
… are essential for developing and validating autonomous driving systems before real-world deployment. However, most existing simulators are designed for single-vehicle scenarios and provide limited support for distributed multi-vehicle experimentation across multiple computing hosts. This …
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AI-driven methods for resiliency and security assessment: the case for autonomous driving system and HPC storage system
Nowadays, computing systems are used extensively in mission-critical exploration, transportation, scientific study, and manufacturing. With the advances in computation technologies, computing systems have become ever more complex. Due to the system’s complexity, it is increasingly hard for humans …
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Autonomous Navigation without HD Prior Maps
Most fielded autonomous driving systems currently rely on High Definition (HD) prior maps both to localize, and to retrieve detailed geometric and semantic information about the environment. This information is necessary to enable safe operation of many downstream driving components including, …
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Development and analysis of a small-scale controlled dataset with various weather conditions, lighting, and route types for autonomous driving
This study addresses the limitations of existing autonomous vehicle datasets, particularly the need for greater specificity of weather conditions and road types. We utilized X-CAR to highlight the challenges of extreme weather and non-urban road conditions on autonomous driving systems. Our dataset …
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Development of a Data Collection System for Tightly Integrated GNSS, IMU, Radar, and LiDAR Navigation
There is a growing interest in autonomous driving systems that can safely rely on multiple sensors including GNSS, IMU, Radar and LiDAR to navigate with high accuracy, integrity, continuity, and availability in complex urban environments. Many existing data sets, collected with multi-sensor …
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Collision and Avoidance Modelling of Autonomous Vehicles using Genetic Algorithm and Neural Network
… thesis is 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 …
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AI-assisted Anomalous Event Detection for Connected Vehicles
Connected vehicle networks and future autonomous driving systems call for characterization of risky driving events to improve safety applications and autonomous driving features. Precision of driving event characterization (\gls{dec}) systems in connected vehicles has become increasingly important …
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Semi-autonomous driving control of multi-trailer articulated heavy vehicles for increasing highway traffic safety
This PhD research introduces innovative semi-autonomous driving strategies for Multitrailer Articulated Heavy Vehicles (MTAHVs) to enhance highway safety and transportation efficiency. While autonomous driving has progressed, concerns about safety, reliability, and ethical issues remain, making the …
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SMALL AND LARGE PERCEPTION MODELS FOR ROBOTIC NAVIGATION
… fundamental to advancing robotic navigation and autonomous driving systems, enabling machines to interpret visual data critical for interaction with complex and diverse real-world environments. We address many critical challenges in these domains by developing advanced vision methods. Our …
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Are Vision Large Language Models Road-Ready? Benchmarking and Adapting VLLMs for Safety-Critical Driving Video Understanding
… in specialized, safety-critical domains like autonomous driving remains largely unclear. Autonomous Driving Systems (ADS) must reason reliably about complex, dynamic environments and rare but high-risk events (e.g., crashes and near-crashes), whereas existing multimodal benchmarks are …
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Protection of Rear Seat Occupants Using Finite Element Analysis
… injured or killed each year. With the rise in autonomous driving systems, the amount of occupants sitting in the rear seats, and therefore sustaining injury, could increase dramatically. In this dissertation, rear seats of a range of current vehicles were reconstructed to examine injury risk …
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Congestion Control for V2V Communication in VANET
… are vital for ensuring traffic safety in autonomous driving systems and intelligent transportation networks, where timely exchange of safety information is crucial. However, VANETs face significant challenges related to congestion control due to the high mobility of vehicles, dynamic …
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Efficiently Searching for Objects Within Large Collections of Images and Video
… a key part of robotic perception, including selfdriving cars, which use cameras as key sensors. Social media is increasingly image and video based. Video from these applications often makes its way to cloud storage, either for archival or for more complex uses, such as building datasets for …