A fast and optimal pathfinder using airborne LiDAR data

Yermo, Miguel; Rivera, Francisco F.; Dominguez, Jessica A.; Vilariño, D.L.; Pena, Tomás F.

doi:10.1016/j.isprsjprs.2021.11.014

Cited by 4 publications

(1 citation statement)

References 39 publications

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“…Previous research has established robust pathfinding algorithms. Yermo et al's paper "A fast and optimal pathfinder using airborne LiDAR data" [14] provides a detailed description of a pathfinding method based on LiDAR data. Although this paper focuses more on aerial pathfinding, the described method generates pathfinding results relatively quickly based on LiDAR data and can be adjusted according to project requirements.…”

Section: Conclusion and Future Improvementsmentioning

confidence: 99%

A search and rescue robot design based on LiDAR technology

Ding,

2024

ACE

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For a long time, search and rescue operations during natural disasters and man-made catastrophes have been a major challenge. Due to the rapidly changing environment in disasters, deploying rescue teams for search missions entails significant risks. With advancements in technology, the latest innovations can be applied to search and rescue tasks to reduce these risks. LiDAR (Light Detection and Ranging) sensors can be installed on unmanned search and rescue vehicles to explore the space. This article utilizes solid-state LiDAR technology, along with various algorithms like SLAM (Simultaneous Localization and Mapping) and EKF (Extended Kalman Filter), to design a remotely controlled unmanned exploration vehicle. By capturing point cloud data, it enables modelling and recording of indoor or outdoor spaces, allowing for space exploration and the identification of trapped individuals and other important rescue-related information before rescue personnel enter the premises. This significantly reduces the risks and time involved in search and rescue operations. The prototype vehicle designed in this paper possesses the advantages of low cost and high flexibility, making it feasible for direct deployment after minor optimization. Finally, the author provides a summary and outlook for this research.

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Section: Conclusion and Future Improvementsmentioning

confidence: 99%

A search and rescue robot design based on LiDAR technology

Ding,

2024

ACE

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Autonomous Equipment Handling Vehicle for Warehouse

et al. 2023

2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)

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A Novel Ground Filtering Method for Point Clouds in a Forestry Area Based on Local Minimum Value and Machine Learning

Sang

Wang

2022

Applied Sciences

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Lidar point cloud filtering is the process of separating ground points from non-ground points and is a particularly important part of point cloud data processing. Forest filtering has always been a difficult topic in point cloud filtering research. Given that vegetation cannot be completely summarized according to the structure of ground objects, and given the diversity and complexity of the terrain in woodland areas, filtering in the forest area is a particularly difficult task. However, only few studies have tested the application of the point cloud filtering method for forest areas, the parameter setting of filtering methods is highly complex, and their terrain adaptability is weak. This paper proposes a new filtering method for forest areas that effectively combines iterative minima with machine learning, thereby greatly reducing the degree of manual participation. Through filtering tests on three types of woodlands, the filtering results were evaluated based on the filtering error definition proposed by ISPRS and were compared with the filtering results of other classical methods. Experimental results highlight the advantages of the proposed method, including its high accuracy, strong terrain universality, and limited number of parameters.

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A fast and optimal pathfinder using airborne LiDAR data

Cited by 4 publications

References 39 publications

A search and rescue robot design based on LiDAR technology

A search and rescue robot design based on LiDAR technology

Autonomous Equipment Handling Vehicle for Warehouse

A Novel Ground Filtering Method for Point Clouds in a Forestry Area Based on Local Minimum Value and Machine Learning

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