Sökning: "Occupancy grid map"
Visar resultat 1 - 5 av 14 uppsatser innehållade orden Occupancy grid map.
1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER
2. Map generation using a smartphone’s built in localisation and mapping algorithms
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Localisation and mapping algorithms for smartphones have in recent years seen a renewed interest due to their technological advancements. Using these systems to generate an indoor blueprint where none is available or incomplete is useful in tracking applications. LÄS MER
3. Obstacle Detection and Avoidance for an Automated Guided Vehicle
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : The need for faster and more reliable logistics solutions is rapidly increasing. This is due to higher demands on the logistical services to improve quality, quantity, speed and reduce the error tolerance. An arising solution to these increased demands is automated solutions in warehouses, i.e. LÄS MER
4. Long-Term Exploration in Unknown Dynamic Environments
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order for autonomous robots to perform tasks and safely navigate environments they need to have a reliable and detailed map. These maps are generally created by the robot itself since maps with the required level of detail rarely exist beforehand. In order to create that map the robot has to explore an unknown environment. LÄS MER
5. Parking Map Generation and Tracking Using Radar : Adaptive Inverse Sensor Model
Master-uppsats, Linköpings universitet/Fluida och mekatroniska systemSammanfattning : Radar map generation using binary Bayes filter or what is commonly known as Inverse Sensor Model; which translates the sensor measurements into grid cells occupancy estimation, is a classical problem in different fields. In this work, the focus will be on development of Inverse Sensor Model for parking space using 77 GHz FMCW (Frequency Modulated Continuous Wave) automotive radar, that can handle different environment geometrical complexity in a parking space. LÄS MER