Sökning: "Euclidean distance fields"
Hittade 5 uppsatser innehållade orden Euclidean distance fields.
1. Machine Learning-based MIMO Indoor Positioning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER
2. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. LÄS MER
3. Effect of distance measures and feature representations on distance-based accessibility measures
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Distance-based accessibility measures are often built using vector representations of origin and destination features, and Euclidean or network-based distances. There are few comparisons of how the choice of feature representations and distance types affects results. Existing comparisons often use Spearman’s rank correlation coefficients. LÄS MER
4. An extended BIRCH-based clustering algorithm for large time-series datasets
Master-uppsats, Mittuniversitetet/Avdelningen för informations- och kommunikationssystemSammanfattning : Temporal data analysis and mining has attracted substantial interest due to theproliferation and ubiquity of time series in many fields. Time series clustering isone of the most popular mining methods, and many time series clustering algorithmsprimarily focus on detecting the clusters in a batch fashion that will use alot of memory space and thus limit the scalability and capability for large timeseries. LÄS MER
5. Comparison of A*, Euclidean and Manhattan distance using Influence map in MS. Pac-Man
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikSammanfattning : Context An influence map and potential fields are used for finding path in domain of Robotics and Gaming in AI. Various distance measures can be used to find influence maps and potential fields. However, these distance measures have not been compared yet. LÄS MER