دورية أكاديمية

LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines

التفاصيل البيبلوغرافية
العنوان: LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines
المؤلفون: Yuanjian Jiang, Pingan Peng, Liguan Wang, Jiaheng Wang, Jiaxi Wu, Yongchun Liu
المصدر: Remote Sensing, Vol 15, Iss 2, p 309 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Science
مصطلحات موضوعية: local path planning, 2D LiDAR, reactive navigation, underground mines, thinning algorithm, Science
الوصف: Reactive navigation is the most researched navigation technique for underground vehicles. Local path planning is one of the main research difficulties in reactive navigation. At present, no technique can perfectly solve the problem of local path planning for the reactive navigation of underground vehicles. Aiming to address this problem, this paper proposes a new method for local path planning based on 2D LiDAR. First, we convert the LiDAR data into a binary image, and we then extract the skeleton of the binary image through a thinning algorithm. Finally, we extract the centerline of the current laneway from these skeletons and smooth the obtained roadway centerline as the current planned local path. Experiments show that the proposed method has high robustness and good performance. Additionally, the method can also be used for the global path planning of underground maps.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2072-4292
Relation: https://www.mdpi.com/2072-4292/15/2/309; https://doaj.org/toc/2072-4292
DOI: 10.3390/rs15020309
URL الوصول: https://doaj.org/article/dc0eb5da6f6d478986d4206e5031be7e
رقم الأكسشن: edsdoj.0eb5da6f6d478986d4206e5031be7e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20724292
DOI:10.3390/rs15020309