Sökning: "safety-critical scenarios"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden safety-critical scenarios.
1. Parameter Estimation and Simulation of Driving Datasets
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : The development of autonomous driving in recent years has been in full swing and one of the aspects that Autonomous Vehicles (AVs) should always focus on is safety. Although the corresponding technology has gradually matured, and AVs have performed well in a large number of tests, people are still uncertain whether AVs can cope with all possible situations. LÄS MER
2. Combining proprietary real-time Ethernet protocols with Time-Sensitive Networking for avionics : A simulation study in OMNeT++ with INET 4.4
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robust real-time communication is crucial in many safety-critical systems, such as air-crafts. One example of real-time communication within an aircraft is the Ethernet-based protocol called Proprietary Real-Time Ethernet (PRTE), used for sensor data and other hard real-time information exchange. LÄS MER
3. Application of formal verification and validation on modern multi-functional signalling system
Master-uppsats, KTH/TransportplaneringSammanfattning : Demand for rail transport is increasing day by day. Rail is popular in public transport due to punctuality, regularity, and safety. However, we hear daily that rail traffic still has many problems to solve about incidents, near misses, and signal errors. LÄS MER
4. Dataset Generation in a Simulated Environment Using Real Flight Data for Reliable Runway Detection Capabilities
Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : Implementing object detection methods for runway detection during landing approaches is limited in the safety-critical aircraft domain. This limitation is due to the difficulty that comes with verification of the design and the ability to understand how the object detection behaves during operation. LÄS MER
5. Generate synthetic datasets and scenarios by learning from the real world
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The modern paradigms of machine learning algorithms and artificial intelligence base their success on processing a large quantity of data. Nevertheless, data does not come for free, and it can sometimes be practically unfeasible to collect enough data to train machine learning models successfully. LÄS MER