Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques
Advancements in data-acquisition technology have led to the increasing demand for high-precision road data for autonomous driving. Specifically, road boundaries and linear road markings, like edge and lane markings, provide fundamental guidance for various applications. Unfortunately, their extracti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/19/4656 |
| _version_ | 1797575208315387904 |
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| author | Seokchan Kang Jeongwon Lee Jiyeong Lee |
| author_facet | Seokchan Kang Jeongwon Lee Jiyeong Lee |
| author_sort | Seokchan Kang |
| collection | DOAJ |
| description | Advancements in data-acquisition technology have led to the increasing demand for high-precision road data for autonomous driving. Specifically, road boundaries and linear road markings, like edge and lane markings, provide fundamental guidance for various applications. Unfortunately, their extraction usually requires labor-intensive manual work, and the automatic extraction, which can be applied universally for diverse curved road types, presents a challenge. Given this context, this study proposes a method to automatically extract road boundaries and linear road markings by applying an oriented bounding box (OBB) collision-detection algorithm. The OBBs are generated from a reference line using the point cloud data’s position and intensity values. By applying the OBB collision-detection algorithm, road boundaries and linear road markings can be extracted efficiently and accurately in straight and curved roads by adjusting search length and width to detect OBB collision. This study assesses horizontal position accuracy using automatically extracted and manually digitized data to verify this method. The resulting RMSE for extracted road boundaries is +4.8 cm and +5.3 cm for linear road markings, indicating that high-accuracy road boundary and road marking extraction was possible. Therefore, our results demonstrate that the automatic extraction adjusting OBB detection parameters and integrating the OBB collision-detection algorithm enables efficient and precise extraction of road boundaries and linear road markings in various curving types of roads. Finally, this enhances its practicality and simplifies the implementation of the extraction process. |
| first_indexed | 2024-03-10T21:36:27Z |
| format | Article |
| id | doaj.art-16c1f04d8d0640adb0b5d70de0db9ad7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T21:36:27Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-16c1f04d8d0640adb0b5d70de0db9ad72023-11-19T14:58:07ZengMDPI AGRemote Sensing2072-42922023-09-011519465610.3390/rs15194656Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection TechniquesSeokchan Kang0Jeongwon Lee1Jiyeong Lee2Department of Geoinformatics (GSE), University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of KoreaDepartment of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of KoreaDepartment of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of KoreaAdvancements in data-acquisition technology have led to the increasing demand for high-precision road data for autonomous driving. Specifically, road boundaries and linear road markings, like edge and lane markings, provide fundamental guidance for various applications. Unfortunately, their extraction usually requires labor-intensive manual work, and the automatic extraction, which can be applied universally for diverse curved road types, presents a challenge. Given this context, this study proposes a method to automatically extract road boundaries and linear road markings by applying an oriented bounding box (OBB) collision-detection algorithm. The OBBs are generated from a reference line using the point cloud data’s position and intensity values. By applying the OBB collision-detection algorithm, road boundaries and linear road markings can be extracted efficiently and accurately in straight and curved roads by adjusting search length and width to detect OBB collision. This study assesses horizontal position accuracy using automatically extracted and manually digitized data to verify this method. The resulting RMSE for extracted road boundaries is +4.8 cm and +5.3 cm for linear road markings, indicating that high-accuracy road boundary and road marking extraction was possible. Therefore, our results demonstrate that the automatic extraction adjusting OBB detection parameters and integrating the OBB collision-detection algorithm enables efficient and precise extraction of road boundaries and linear road markings in various curving types of roads. Finally, this enhances its practicality and simplifies the implementation of the extraction process.https://www.mdpi.com/2072-4292/15/19/4656ground MMS surveypoint cloud dataautomatic extractionOBB collision-detection algorithmroad boundaryroad marking |
| spellingShingle | Seokchan Kang Jeongwon Lee Jiyeong Lee Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques Remote Sensing ground MMS survey point cloud data automatic extraction OBB collision-detection algorithm road boundary road marking |
| title | Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques |
| title_full | Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques |
| title_fullStr | Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques |
| title_full_unstemmed | Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques |
| title_short | Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques |
| title_sort | developing a method to automatically extract road boundary and linear road markings from a mobile mapping system point cloud using oriented bounding box collision detection techniques |
| topic | ground MMS survey point cloud data automatic extraction OBB collision-detection algorithm road boundary road marking |
| url | https://www.mdpi.com/2072-4292/15/19/4656 |
| work_keys_str_mv | AT seokchankang developingamethodtoautomaticallyextractroadboundaryandlinearroadmarkingsfromamobilemappingsystempointcloudusingorientedboundingboxcollisiondetectiontechniques AT jeongwonlee developingamethodtoautomaticallyextractroadboundaryandlinearroadmarkingsfromamobilemappingsystempointcloudusingorientedboundingboxcollisiondetectiontechniques AT jiyeonglee developingamethodtoautomaticallyextractroadboundaryandlinearroadmarkingsfromamobilemappingsystempointcloudusingorientedboundingboxcollisiondetectiontechniques |