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Showing 1 to 17 of 17 for “"Semantic Mapping"”.
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Semantic Mapping of Road Scenes
… First, we propose a solution to generate a dense semantic map from multiple street-level images. This map can be imagined as the bird’s eye view of the region with associated semantic labels for ten’s of kilometres of street level data. We generate the overhead semantic view from street level …
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Semantic mapping of the bilingual lexicon : form-to-meaning mapping through computerized testing
In this study, form-to-meaning mapping of the bilingual mental lexicon is investigated. Sixty native speakers of Arabic, divided into intermediate and advanced ESL groups, served as the participants of the study. They performed a semantic relatedness rating task of sixty high frequency semantically …
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Effects of RAP Paraphrasing and Semantic-Mapping Strategies on the Reading Comprehension of English Learners and Fully- English-Proficient Students with Mild-to-Moderate Learning Disabilities
… instruction, the RAP Paraphrasing Strategy, the semantic-mapping strategy, and a combination of these strategies on the reading comprehension skills of 11 English learners (ELs) with learning disabilities and 8 fully English-proficient students (FEPs) with learning disabilities (LD) in two …
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Configural Displays: The effects of salience on multi-level data extraction
… with configural displays. To address this cost, semantic mapping has been used to map salience techniques to information needed by focus attention tasks to increase their saliency (Bennett & Walters, 2001; Bennett et al., 2000). Semantic mapping is the process of mapping the domain constrains to …
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Experimental Evaluation of Underwater Semantic SLAM
… navigation abilities, facilitated by processing semantic visual information and applying it to map generation and localization. To address the limited autonomy of current AUVs and enhance their capability for complex missions, this thesis presents the development and evaluation of a real-time, …
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Aural Mapping of STEM Concepts Using Literature Mining
… POS tagger, Information Retrieval algorithm, Semantic mapping of aural words, machine learning etc., to transform the science concept into a combination of atomic-sounds, thus forming an audeme. We present a rule based classification method for all STEM related concepts. This work also …
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Visual Simultaneous Localization and Mapping: From Geometry to Deep Learning
Visual Simultaneous Localization and Mapping (SLAM) is essential to achieve persistent autonomy for mobile robots in unknown environments, and is a key technique for enormous vision based applications, such as virtual and augmented reality. Researchers from the robotics and computer vision …
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Using 3D Visual Data to Build a Semantic Map for Autonomous Localization
… who normally rely on conceptual knowledge or semantic contents of the environment. Therefore, semantic maps become necessary for building an effective human-robot interface. Although researchers from both robotics and computer vision domains have designed some promising systems, mapping with …
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Deep learning for spoken dialogue systems : application to nutrition
… translate a user's natural language query into a semantic representation that the back-end can then use to retrieve information from relevant data sources. For example, answering a user's question about the number of calories in a food requires querying a database with nutrition facts for various …
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Robotic perception and manipulation in unstructured environments with partial observations
… data. The ROW-SLAM system demonstrates robust semantic mapping in outdoor agricultural environments, achieving sub-meter accuracy in corn stalk localization despite visual occlusions, lighting variations, and sensor noise. Overall, this dissertation explores approaches from pure data-driven to …
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Enabling human-multi-robot collaborative visual exploration in underwater environments
… and terrain types in the environment using semantic classes learned online, and send image queries to the supervisor to learn which of these classes are associated with the highest concentration of targets of interest. The robots do not require prior examples of these targets, and learn …
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Enabling Human-Multi-Robot Collaborative Visual Exploration in Underwater Environments
… and terrain types in the environment using semantic classes learned online, and send image queries to the supervisor to learn which of these classes are associated with the highest concentration of targets of interest. The robots do not require prior examples of these targets, and learn …
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BIO-INSPIRED DESIGN METHODOLOGY BASED ON A SEMANTIC MAP, USEABLE IN CAD ENVIRONMENT
… couples of analogies has been used to build a semantic mapping. This allows for enhanced integration with CAD and therefore in the complex product lifecycle management systems. In this way the information becomes more accessible, it can be modified, shared and used by all those involved in the …
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Learning semantic maps from natural language
… Current approaches to constructing such spatial-semantic representations rely solely on traditional sensors to acquire knowledge of the environment, which restricts robots to learning limited knowledge of their local surround. Furthermore, they can only reason over the limited portion of the …
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Robotic Contextual Awareness for Human-Robot Collaboration and Environmental Understanding
… to understand its environment geometrically and semantically. Geometric information is vital for motion planning and collision avoidance, while semantic knowledge provides the robot with a richer understanding for more advanced interaction. Both solutions are driven by the improvement of the …
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Coverage and exploration planning with semantically informed maps
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms