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 17 of 17 for “"automotive safety"”.
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Knowledge management practices in automotive safety attribute development
… Product development organizations within automotive enterprises are not different in this regard. Most reengineering efforts seem to concentrate on tasks and schedule. Detailed schedules are cascaded while the identification of enablers on delivering to the new schedule is left to …
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Safety Assurance for Automated Vehicles Beyond Collision Avoidance
Each year, automotive crashes cause thousands of deaths and injuries. Autonomous safety systems have the potential to greatly reduce this tragic loss of life and improve safety, but such systems must meet existing requirements for automotive certification. Particularly, active safety systems must …
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Safety of a multi-vehicle system in mixed communication environments
… to provide advance warnings to enhance automotive safety is therefore being actively discussed in the research community. In this thesis, we investigate scenarios wherein only a subset of the vehicles in a multi-vehicle stream, are equipped with such advance warning capabilities. These …
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Runtime verification for stochastic systems
We desire a capability for the safety monitoring of complex, mixed hardware/software systems, such as a semi-autonomous car. The field of runtime verification has developed many tools for monitoring the safety of software systems in real time. However, these tools do not allow for uncertainty in …
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OTMS: A Novel Radar-Based Mapping System For Automotive Applications
Current automotive radar systems are designed to detect objects within an area around the vehicle and provide alerts or other assistive driving features to the driver. The main goal of these driving assistance systems is to increase safety of not only the driver but also increase safety for …
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Radar-Based Multi-Target Classification Using Deep Learning
… home surveillance, pedestrian recognition for automotive safety and fall detection for assisted living. This dissertation sought to improve the speed and accuracy of a previously developed model classifying human activity and targets using radar data for outdoor surveillance purposes. An …
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Functional Safety Assessment in Autonomous Vehicles
Autonomous vehicles (AVs) are a class of safety-critical systems that are capable of decision-making and operate with little or no human intervention. For such complex systems designed to function in diverse operational domains such as rain, snow, freeway, urban roads, etc., system safety is …
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Essays on the Role of Metrics in Innovation
… of innovation. I study the setting of US automotive safety, finding that the introduction of the side impact dummy as a metric reduced overall fatalities but also led to disproportionate benefits for occupants similar to the metric itself. Moreover, firms responded heterogeneously, …
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Development of a Deflection Measurement System for the Hybrid III Six-Year Old Biofidelic Abdomen
Despite advancements in automotive safety, motor vehicle collisions remain the leading cause of unintentional death for children ages 5 to 14. Enhancement of child occupant protection depends on the ability to accurately assess the effectiveness of restraint systems. Booster seat design and proper …
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Scenario-Based Methodology for Predicting the Safety Benefits of Emerging Advanced Rider Assistance Systems (ARAS)
… States (U.S.). Despite decades of progress in automotive safety, motorcyclists continue to experience disproportionately high rates of serious and fatal injuries. The combination of inherent vulnerability, limited physical protection, and exposure to complex traffic environments led the …
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Managing design changes using safety-guided design for a safety critical automotive system
The use of software to control automotive safety critical functions, such as throttle, braking and steering has been increasing. The automotive industry has a need for safety analysis methods and design processes to ensure these systems function safely. Many current recommendations still focus on …
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Channel Propagation Model for Train to Vehicle Alert System at 5.9 GHz using Dedicated Short Range Communication
… projects such as Operation Lifesaver to install safety features at grade crossings, up to 80% of the United States railroad grade crossings are classified as 'unprotected' with no lights, warnings, or crossing gates [2]. Further, from January to September 2012, nearly 10% of all reported vehicle …
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Development of Resource-Constrained Computer Vision Algorithms: From Conventional Machine Learning to Deep Learning
… computer vision algorithms for automotive safety and consumer electronics applications between 2010 and 2020.<br/><br/>The first project develops novel feature extraction methods for pedestrian detection in low-light conditions. The work introduces four methods, namely Weighted …
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Test-driven development of embedded control systems: application in an automotive collision prevention system
… development of embedded control systems using an automotive safety system for preventing collisions as an example. The basic prerequisite for test-driven development is the availability of an automated testing framework as tests are executed very often. Such testing frameworks have been developed …
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Cervical Spine Tolerance And Response In Compressive Loading Modes Including Combined Compression And Lateral Bending
… to be a serious and costly societal problem. Automotive safety researchers have observed noticeable lateral bending of the anthropomorphic test device (ATD) neck prior to or in conjunction with head impact with the vehicle roof in rollover crash tests. Since there is scant data available about …
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Radar-based Environment Perception for Pre-Crash Safety Systems
… environment perception from the vehicle safety point of view are presented. The proposed methods comprise advanced topics of radar-based target detection and tracking in dynamic pre-crash scenarios, as well as ghost object identification. The problem of a wandering dominant scatter point …