Sökning: "Occupancy Grid Map"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Occupancy Grid Map.

1. 1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Victor Sanchez; [2023]
   Nyckelord :Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

   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

3. 2. Map generation using a smartphone’s built in localisation and mapping algorithms

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Emil Harvig; [2023]
   Nyckelord :Point Cloud; SLAM; vSLAM; Pose; Occupancy Grid Map; OGM; ARcore; Technology and Engineering;

   Sammanfattning : 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

4. 3. Obstacle Detection and Avoidance for an Automated Guided Vehicle

   Master-uppsats, Linköpings universitet/Fordonssystem

   Författare :Filip Berlin; Sebastian Granath; [2021]
   Nyckelord :AGV; Occupancy Grid; Path planning; Automated Guided Vehicle;

   Sammanfattning : 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

5. 4. Long-Term Exploration in Unknown Dynamic Environments

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Rodrigue Bonnevie; [2020]
   Nyckelord :;

   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

7. 5. Parking Map Generation and Tracking Using Radar : Adaptive Inverse Sensor Model

   Master-uppsats, Linköpings universitet/Fluida och mekatroniska system

   Författare :Mohamed Mahmoud; [2020]
   Nyckelord :Vehicle; Parking; Radar; 2D Mapping; SLAM; Occupancy Grid Map; Binary Bayes Filter; Inverse Sensor Model; Noise Analysis;

   Sammanfattning : 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