Sökning: "Path Predictive"
Visar resultat 1 - 5 av 63 uppsatser innehållade orden Path Predictive.
1. Lateral Control of Heavy Vehicles
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : The automotive industry has been involved in making vehicles autonomous to different levels in the past decade rapidly. Particularly in the commercial vehicle market, there is a significant necessity to make trucks have a certain level of automation to help reduce dependence on human efforts to drive. LÄS MER
2. Optimization of Path and Trajectory for Underground Mining Machines
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Underground mining machines play a critical role in the mining industry, enablingexcavation of valuable minerals from subterranean deposits. The efficiency of mining op-erations relies heavily on the effectiveness of these machines. LÄS MER
3. Adaptive system for landingapproach trajectory of JAS 39Gripen
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : The landing procedure of an aircraft is a safety critical procedure requiring high precisioncontrol and feasible trajectories to follow from the current state. This thesis implementsand studies a complete system with trajectory planning, trajectory following, and steeringcommand generation. LÄS MER
4. Data-Driven Adaptive Control of Unmanned Surface Vehicles Using Learning-Based Model Predictive Control
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : In this thesis, the subject of data-driven control of Unmanned Surface Vehicles (USVs) is explored. The control task is formulated through Nonlinear Model Predictive Path Following Control (NMPFC). System identification (SYSID) and Reinforcement Learning (RL) are employed to improve performance in a data-driven manner. LÄS MER
5. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. LÄS MER