Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Map building."”.
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Map-Building and Position Estimation in Mobile Robots Using Self-Organizing Maps
… allows for a common description of biological map building behavior. The motivation came from the assumption that self organizing systems could be used to reduce the amount of predefinition put in by a human operator and the ability to address noisy, inconsistent or no meaningful information …
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Possibilistic sonar modeling and localization for mobile robots
… mobile robots applications such as navigation, map building, and localization. The performance of these sensors is affected by the environmental phenomena, sensor design, and target characteristics. Therefore, the readings obtained from these sensors are uncertain. This uncertainty is often …
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Low-latency trajectory planning for high-speed navigation in unknown environments
… are computationally intensive and rely on building a dense map of the environment. Computational complexity and map building are the main sources of latency in autonomous systems and ultimately limit the top speed of the vehicle. This thesis presents an integrated perception, planning, and …
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Crowdsourcing Mobile Data for Indoor Positioning
… indoor positioning, conventionally builds radio maps that can be used to position a user indoors by manual surveying. Surveying is typically very costly in terms of human effort. This thesis is about crowdsourcing fingerprints so that traditional surveying tasks can be distributed to individual …
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Multiple Mobile Robot SLAM for collaborative mapping and exploration
… (AMRs) have been an active research field. Maps of high accuracy are required for AMRs to operate successfully. In addition to this, AMRs needs to localise themselves reliably relative to the map. Simultaneous Localisation and Mapping (SLAM) address the problem of both map building and robot …
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Representations for intelligent navigation in unfamiliar environments
… exploration of unknown environments, we enable map-building of unfamiliar environments from monocular images suitable for high-level planning with topological constraints.
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Navigation with Local Sensors in Surgical Robotics
… systems employ almost exclusively static global maps -- if any -- for navigation and planning purposes. Additional information -- intra-process, spatial, current, and persistent sensor data -- is useful to cope with uncertainty, measurement errors, and incompleteness of data. Between global …
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The residential energy map : catalyzing energy efficiency through remote energy assessments and improved data access
… access to data and the growing prevalence of mapping technologies provide new avenues for introducing energy performance information in ways that could encourage increased energy efficiency implementation. Renters and homebuyers are increasingly using online interactive maps to inform their …
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Minimalist multi-agent filtering and guidance
… do not require system identification, geometric map building, or state estimation. Instead, we follow a minimalist approach that takes advantage of the wild motions of bodies in their environment. The bodies move within regions connected by gates that enforce specific flows or provide simple …
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Task-driven navigation and mapping with resource constraints
… systems is the ability to simultaneously map the environment and localize within, especially when there is no global reference. This problem is often referred to as Simultaneous Localization and Mapping (SLAM). This thesis particularly studies three related key technologies in SLAM, sparse …
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Development and Implementation of a Self-Building Global Map for Autonomous Navigation
… algorithm must be coupled with a global map. This work presents a simple algorithm for developing a quasi-free space global map. The algorithm is based on the premise that the robot will be given multiple attempts at a particular goal. During early attempts, Navigator explores using …
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Mapping with mobile robots
Today, mapping is largely considered the most difficult perceptual <br>problem in robotics. Different problems like the statistical <br>dependence, the correspondence problem, or dynamic elements makes <br>mapping so hard. The basic technique for mapping is incremental scan <br>matching. We present …
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Indoor place classification for intelligent mobile systems
Place classification is an emerging theme in the study of human-robot interaction which requires common understanding of human-defined concepts between the humans and machines. The requirement posts a significant challenge to the current intelligent mobile systems which are more likely to be …
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Map-Based Localization for Unmanned Aerial Vehicle Navigation
… localization approaches were investigated. Map-based localization methods were shown to be the most efficient because they close loops using a pre-existing map, thus the amount of data and the amount of time spent collecting data are reduced as there is no need to re-observe the same areas …