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This study aims to achieve superior localization and mapping performance in point cloud degradation scenarios through the effective removal of dynamic obstacles. With the continuous development of various technologies for autonomous vehicles, the LIDAR-based Simultaneous localization and mapping (SLAM) system is becoming increasingly important. However, in SLAM systems, effectively addressing the challenges of point cloud degradation scenarios is essential for accurate localization and mapping, with dynamic obstacle removal being a key component.

This paper proposes a method that combines adaptive feature extraction and loop closure detection algorithms to address this challenge. In the SLAM system, the ground point cloud and non-ground point cloud are separated to reduce the impact of noise. And based on the cylindrical projection image of the point cloud, the intensity features are adaptively extracted, the degradation direction is determined by the degradation factor and the intensity features are matched with the map to correct the degraded pose. Moreover, through the difference in raster distribution of the point clouds before and after two frames in the loop process, the dynamic point clouds are identified and removed, and the map is updated.

Experimental results show that the method has good performance. The absolute displacement accuracy of the laser odometer is improved by 27.1%, the relative displacement accuracy is improved by 33.5% and the relative angle accuracy is improved by 23.8% after using the adaptive intensity feature extraction method. The position error is reduced by 30% after removing the dynamic target.

Compared with LiDAR odometry and mapping algorithm, the method has greater robustness and accuracy in mapping and localization.

Our study aims to focus on the application of knowledge mapping to provide pedagogically-structured learners' competences.

We conducted an experiment examined the associations between the pedagogical quality of students’ pedagogically-informed knowledge (PIK) maps, class assignment scores and perceptions of PIK mapping’s uses.

The results showed that higher assignment scores were significantly predicted by higher quality PIK maps, ratings for PIK mapping were significantly higher than other mappings, and the learners’ experience of PIK mapping led to a significant change of attitude towards mapping as a learning activity and to a positive opinion of the value of PIK mapping in particular. Interestingly, there was no significant relation between learners’ opinion ratings of the uses of PIK mapping in learning and their assignment scores.

Questions remain on the generalizability of the findings, and on the features of a PIK map which are particularly useful to a learner. This study investigated the value of PIK mapping in the context of a practical class on the building of simple DIY (do-it-yourself) holographic projectors; it may be thought that the applied nature of the topic was more suited to the PIK mapping of learner competences and intended learning outcomes than a more theoretic classroom topic on holography. A future study is planned to address this issue.

Autonomous mobile robots (AMRs) play a crucial role in industrial and service fields. The paper aims to build a LiDAR-based simultaneous localization and mapping (SLAM) system used by AMRs to overcome challenges in dynamic and changing environments.

This research introduces SLAM-RAMU, a lifelong SLAM system that addresses these challenges by providing precise and consistent relocalization and autonomous map updating (RAMU). During the mapping process, local odometry is obtained using iterative error state Kalman filtering, while back-end loop detection and global pose graph optimization are used for accurate trajectory correction. In addition, a fast point cloud segmentation module is incorporated to robustly distinguish between floor, walls and roof in the environment. The segmented point clouds are then used to generate a 2.5D grid map, with particular emphasis on floor detection to filter the prior map and eliminate dynamic artifacts. In the positioning process, an initial pose alignment method is designed, which combines 2D branch-and-bound search with 3D iterative closest point registration. This method ensures high accuracy even in scenes with similar characteristics. Subsequently, scan-to-map registration is performed using the segmented point cloud on the prior map. The system also includes a map updating module that takes into account historical point cloud segmentation results. It selectively incorporates or excludes new point cloud data to ensure consistent reflection of the real environment in the map.

The performance of the SLAM-RAMU system was evaluated in real-world environments and compared against state-of-the-art (SOTA) methods. The results demonstrate that SLAM-RAMU achieves higher mapping quality and relocalization accuracy and exhibits robustness against dynamic obstacles and environmental changes.

Compared to other SOTA methods in simulation and real environments, SLAM-RAMU showed higher mapping quality, faster initial aligning speed and higher repeated localization accuracy.

The purpose of the research was to, first, investigate if the use of maps as instructional resources will boost scholarly performance and, second, examine if gender can moderate the effect of map usage on scholarly performance.

The study was a quasi-experimental pre-test and post-test. A sample of 260 JSS II Students from 8 schools were selected through the purposive sampling technique. A Social Studies Scholarly Performance Test (SSSPT) with a reliability index of 0.79 was the instrument for data collection. The students were assigned into two groups: control and experimental. Both groups were pre-tested taught for a timeline of six weeks and thereafter post-tested.

The study reported a significant increase in the scholarly performance of students taught with maps; a significant difference occurred in the scholarly performance of both groups and gender did not moderate the effect of maps.

The social studies teachers used for the study did not have previous knowledge or map skills; this could have affected the outcome. Secondly, the treatment took place for just six weeks, and the time allotted for social studies in the school timetable was used. This may not have given the students enough time to master map interpretation.

A major implication of the study is that results will show that maps can promote the scholarly performance of students in social studies. Secondly, the fact that gender did not moderate the effect of maps suggests that maps are gender-friendly.

The results of the study, if implemented, would make social studies teachers to become inventive and resourceful in the use of maps as instructional resources for junior secondary students' scholarly performance in social studies without taking gender into consideration.

This study is a product of the researcher’s doctoral thesis; therefore, it is original and has value. The results are the product of a painstaking study carried out by the author for a period of three years on the effect of instructional resources on social studies students’ scholarly performance. Maps were one of the instructional resources studied for the award of a Ph.D. degree.

Aims to provide an overview of methods for digitizing maps, the creation and preservation of a digital collection, interoperable database construction, and an examination of the real costs associated with maintaining a digital collection.

This paper is an examination of the tools, metadata choices, work with Open Archives Initiative (OAI) research projects, and sustainability costs, associated with a digital project of 946 dynamic historic cartographic images.

The Early Washington Maps project demonstrates how multiple tools may be integrated and interoperability between databases achieved. Realistic costs associated with digital collections and practical reference techniques are described.

This is an extremely common‐sense discussion of digital library issues for library professionals planning or enhancing digital collections.

The paper describes ideas for enhancing access to digital collections during and after a grant award.

Today’s business world is facing a plethora of managerial and technological changes which are beyond the capacity of any firm to control or absorb. Customer satisfaction, development of new products, and introduction of new technologies are well‐known driving forces, but their fast mutation and turmoil are making them unpredictable. Companies have to radically alter their strategic and process goals to keep up with this volatile market. In this turbulent environment, business process reengineering (BPR) has evolved as the most promising approach for designing organizations. It is extremely important for reengineers to understand the “driving” forces in this environment. One of the most important and fundamental drivers is understanding the goals (goal mapping) of the organization. Typically the goals of organizations are derived from the “voice of the customer”. In this paper we address a procedure by which optimum level of goal mapping can be considered in the preliminary stages of BPR. A cost optimization model for goal mapping is proposed using an example from the Space Shuttle Testing Facility at the SSC‐National Aeronautics and Space Administration.

Process mapping is an essential tool for business process re‐engineering. During the initial steps of business process re‐engineering process mapping is used to evaluate the existing processes and to identify their non‐value added activities. Presents a method for determining the most economical way to determine the levels of process mapping for the purpose of re‐designing. Using this approach, the process designer can determine how many levels of process mapping are required for a given process and how much it is likely to cost. Accordingly, this approach is a more realistic tool for budgeting for process mapping costs and for determining the cost‐effective level of mapping. This approach is based on balancing the usefulness against the cost of collecting the information through process mapping. The main benefit from this approach is an overall reduction in the cost of business process re‐engineering. Therefore this approach may be referred to as the least cost process mapping. This is because this method can be used to determine the optimum level of process mapping and the least cost of process mapping.

The purpose of this paper is to show how the use of Strategy Maps substantially improves the implementation success of balanced scorecards (BSC). The BSC is supposed to translate strategy into action. Strategy maps support this by showing cause-and-effect chains. But what does this mean for strategy execution in practice? To achieve better BSC implementations, the author uncovers pitfalls and names the remedies.

The author summarizes the most important findings from initially over 1,000 studies that have dealt with the BSC from 1992 to 2012.

BSC implementations that use a sophisticated Strategy Map appear to be successful. Strategy maps foster a better understanding of the BSC among employees, create greater commitment and less resistance and are superior to the BSC itself in communicating how to achieve strategic goals. Also, strategy maps facilitate managers’ evaluation of the relevant environment. Nevertheless, the common measure bias is a usual pitfall: top managers have a tendency to use their own strategic targets as a yardstick for lower-level employees.

This paper helps managers understand the most recent developments on strategy maps. In particular, the author highlights that causalities do not exist in organizations in the same way as there are “laws” in physics. Instead, organizations need to customize their BSC to their way of doing business.

The purpose of this paper is to provide an overview of the Africa image and map portal (AIMP) project’s origins and development, along with its applications to date. This paper includes methods and a step-by-step appendix so that the project can be reproduced at other institutions.

AIMP was created with a suite of free and open source software, including QGIS, Mapbox.js and GitHub. Built around the concept of an interactive index map, AIMP allows for geographic searching of maps, posters and images from Indiana University’s (IU) African Studies collections. This paper presents a case study for the use of this geographic discovery tool at an academic library.

AIMP has allowed comparison of collection strengths with research interests of IU African Studies affiliates and to make strategic collection development decisions that will best serve the authors’ patrons. The instruction applications of AIMP are also full of potential. To date, the Librarian for African Studies has used the portal to familiarize faculty, as well as undergraduate and graduate students, with the range of image and map resources available to them, in a variety of settings.

AIMP allows researchers around the world to discover materials through a geographic search, dramatically connecting and increasing access to and discoverability of these important collections. The use of free and open source geospatial software (foss4g) means that the interface does not rely on an institution’s proprietary software-licensing agreements, making it replicable for other institutions. This use of foss4g widens access to maps, spatial data, images and posters of Africa held by IUL to a global audience.

While interactive index maps are popular among map libraries, AIMP uniquely acts as a discovery portal for a variety of media, including images and posters. In this way, AIMP works to overcome institutional silos and increase discoverability of these important collections to a global audience.

Time‐saving procedures and avoidance of material replacements due to damage and loss are the problems which must be appreciated in an academic department administering a collection of maps. The system adopted by this Geography Department, after much preparatory thought on issues of policy and administration, has proved that such problems can be obviated efficiently. Backlog of work inevitably builds up periodically, but opportunities to cancel this regularly occur during vacations. The capital expenditure is a long‐term investment, but the outlay per cabinet is a reasonable amount for a thousand maps, which will not depreciate appreciably for many years. This would not be so with maps kept in drawer units of wood or steel, where one would also need more floor‐space. The criterion is, therefore, to file vertically all maps and atlases possible, in the same way as a book library. This short paper deals with the various operations in administering such a collection.