Essays about: "memory safety"
Showing result 16 - 20 of 61 essays containing the words memory safety.
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16. Evaluation of fitness to drive with cognitive failure
University essay from Örebro universitet/Institutionen för medicinska vetenskaperAbstract : Background: Having a driving license can make a significant difference in the quality of life for an individual, as it enables freedom and possibilities. However, not everyone is fit to drive as it requires many functions that need to work simultaneously to maintain safety while driving. READ MORE
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17. Comparing Conventional- and Modern Programming Languages for Developing a File System
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : Most of the software stack is built upon C today. C is a very flexible language, but the flexibility also brings some safety risks, particularly when handling memory through pointers. Rust is a new programming language which can guarantee memory safety without performance-heavy runtime services such as garbage collection. READ MORE
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18. Simulation and time-series analysis for Autonomous Emergency Braking systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One central challenge for Autonomous Driving (AD) systems is ensuring functional safety. This is affected by all parts of vehicle automation systems: environment perception, decision making, and actuation. READ MORE
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19. RTIC - A Zero-Cost Abstraction for Memory Safe Concurrency
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Embedded systems are commonplace, often with real-time requirements, limited resources and increasingly complex workloads with high demands on security and reliability. The complexity of these systems calls for extensive developer experience and many tools has been created to aid in the development of the software running on such devices. READ MORE
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20. Artificial Intelligence applications for railway signalling
University essay from KTH/TransportplaneringAbstract : The main purpose of this Master Thesis is to investigate how front-facing, train-mounted cameras and Computer Vision, a type of Artificial Intelligence (AI), can be used to compensate for GPS inaccuracies. By using footage from track-recording cameras, Computer Vision can be utilized to determine the number of tracks and the track occupancy of the train, which would compensate GPS inaccuracies in the lateral positioning. READ MORE