Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review
The recent advancements in Information and Communication Technology (ICT) as well as increasing demand for vehicular safety has led to significant progressions in Autonomous Vehicle (AV) technology. Perception and Localisation are major operations that determine the success of AV development and usa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/22/8943 |
| _version_ | 1797463990707683328 |
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| author | Jibril Abdullahi Bala Steve Adetunji Adeshina Abiodun Musa Aibinu |
| author_facet | Jibril Abdullahi Bala Steve Adetunji Adeshina Abiodun Musa Aibinu |
| author_sort | Jibril Abdullahi Bala |
| collection | DOAJ |
| description | The recent advancements in Information and Communication Technology (ICT) as well as increasing demand for vehicular safety has led to significant progressions in Autonomous Vehicle (AV) technology. Perception and Localisation are major operations that determine the success of AV development and usage. Therefore, significant research has been carried out to provide AVs with the capabilities to not only sense and understand their surroundings efficiently, but also provide detailed information of the environment in the form of 3D maps. Visual Simultaneous Localisation and Mapping (V-SLAM) has been utilised to enable a vehicle understand its surroundings, map the environment, and identify its position within the area. This paper presents a detailed review of V-SLAM techniques implemented for AV perception and localisation. An overview of SLAM techniques is presented. In addition, an in-depth review is conducted to highlight various V-SLAM schemes, their strengths, and limitations. Challenges associated with V-SLAM deployment and future research directions are also provided in this paper. |
| first_indexed | 2024-03-09T18:00:34Z |
| format | Article |
| id | doaj.art-f027b445b97845cdb4d90046c5f3fb7a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T18:00:34Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f027b445b97845cdb4d90046c5f3fb7a2023-11-24T09:58:27ZengMDPI AGSensors1424-82202022-11-012222894310.3390/s22228943Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A ReviewJibril Abdullahi Bala0Steve Adetunji Adeshina1Abiodun Musa Aibinu2Department of Mechatronics Engineering, Federal University of Technology, Minna 920211, NigeriaDepartment of Computer Engineering, Nile University of Nigeria, Abuja 900001, NigeriaDepartment of Mechatronics Engineering, Federal University of Technology, Minna 920211, NigeriaThe recent advancements in Information and Communication Technology (ICT) as well as increasing demand for vehicular safety has led to significant progressions in Autonomous Vehicle (AV) technology. Perception and Localisation are major operations that determine the success of AV development and usage. Therefore, significant research has been carried out to provide AVs with the capabilities to not only sense and understand their surroundings efficiently, but also provide detailed information of the environment in the form of 3D maps. Visual Simultaneous Localisation and Mapping (V-SLAM) has been utilised to enable a vehicle understand its surroundings, map the environment, and identify its position within the area. This paper presents a detailed review of V-SLAM techniques implemented for AV perception and localisation. An overview of SLAM techniques is presented. In addition, an in-depth review is conducted to highlight various V-SLAM schemes, their strengths, and limitations. Challenges associated with V-SLAM deployment and future research directions are also provided in this paper.https://www.mdpi.com/1424-8220/22/22/8943autonomous vehiclescomputer visionlocalisationmappingvisual SLAM |
| spellingShingle | Jibril Abdullahi Bala Steve Adetunji Adeshina Abiodun Musa Aibinu Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review Sensors autonomous vehicles computer vision localisation mapping visual SLAM |
| title | Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review |
| title_full | Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review |
| title_fullStr | Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review |
| title_full_unstemmed | Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review |
| title_short | Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review |
| title_sort | advances in visual simultaneous localisation and mapping techniques for autonomous vehicles a review |
| topic | autonomous vehicles computer vision localisation mapping visual SLAM |
| url | https://www.mdpi.com/1424-8220/22/22/8943 |
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