Sökning: "Autonomous Systems"
Visar resultat 1 - 5 av 598 uppsatser innehållade orden Autonomous Systems.
1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER
2. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. LÄS MER
3. Ensuring safe docking maneuvers on floating platform using Nonlinear Model Predictive Control (NMPC)
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Docking maneuvers are a relevant part of the modern space mission, requiring precision and safety to ensure the success of the overall mission. This thesis proposes using a non-linear Model Predictive Control (MPC) as a controller with various constraints to ensure safe docking maneuvers for a satellite. LÄS MER
4. Early-Stage Validation of Autonomous Vehicles in Ambiguous Environments : A Systems-Theoretic Process Analysis (STPA) of an Autonomous Military Defense Industry Vehicle
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : This report delves into the early developmental phase of an autonomous vehicle designed for defense applications. Navigating diverse terrains, this unmanned ground vehicle (UGV) poses unique challenges, particularly in the absence of clearly defined directives found in typical traffic scenarios. LÄS MER
5. Challenges in Specifying Safety-Critical Systems with AI-Components
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER