Avancerad sökning
Visar resultat 1 - 5 av 8 avhandlingar som matchar ovanstående sökkriterier.
1. Towards semi-automation of forestry cranes : automated trajectory planning and active vibration damping
Sammanfattning : Forests represent one of the biggest terrestrial ecosystems of Earth, that can produce important raw renewable materials such as wood with the help of sun, air and water. To efficiently extract these raw materials, the tree harvesting process is highly mechanized in developed countries, meaning that advanced forestry machines are continuously used to fell, to process and to transport the logs and biomass obtained from the forests. LÄS MER
2. Automated Driving Maneuvers - Trajectory Planning via Convex Optimization in the Model Predictive Control Framework
Sammanfattning : Highly automated vehicles have the potential to provide a variety of benefits e.g., decreasing traffic injuries and fatalities while offering people the freedom to choose how to spend their time in their vehicle without jeopardizing the safety of themselves or other traffic participants. LÄS MER
3. Semi-Automating Forestry Machines : Motion Planning, System Integration, and Human-Machine Interaction
Sammanfattning : The process of forest harvesting is highly mechanized in most industrialized countries, with felling and processing of trees performed by technologically advanced forestry machines. However, the maneuvering of the vehicles through the forest as well as the control of the on-board hydraulic boom crane is currently performed through continuous manual operation. LÄS MER
4. Motion Planning and Control of Automated Vehicles in Critical Situations
Sammanfattning : The road traffic environment is inherently uncertain and unpredictable. An automated vehicle (AV) deployed in such an environment will eventually experience unforeseen critical situations, i.e., situations in which the probability of having an accident is rapidly increased compared to a nominal driving situation. LÄS MER
5. Trajectory Planning for an Autonomous Vehicle in Multi-Vehicle Traffic Scenarios
Sammanfattning : Tremendous industrial and academic progress and investments have been made in au-tonomous driving, but still many aspects are unknown and require further investigation,development and testing. A key part of an autonomous driving system is an efficient plan-ning algorithm with potential to reduce accidents, or even unpleasant and stressful drivingexperience. LÄS MER