The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review
Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain causes serious accidents worldwide. Therefore, it is important to be aware of the impact of weather conditions on perception performance while driving on highways and urban traffic in all weather con...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/22/6532 |
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| author | Abdul Sajeed Mohammed Ali Amamou Follivi Kloutse Ayevide Sousso Kelouwani Kodjo Agbossou Nadjet Zioui |
| author_facet | Abdul Sajeed Mohammed Ali Amamou Follivi Kloutse Ayevide Sousso Kelouwani Kodjo Agbossou Nadjet Zioui |
| author_sort | Abdul Sajeed Mohammed |
| collection | DOAJ |
| description | Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain causes serious accidents worldwide. Therefore, it is important to be aware of the impact of weather conditions on perception performance while driving on highways and urban traffic in all weather conditions. The goal of this paper is to provide a survey of sensing technologies used to detect the surrounding environment and obstacles during driving maneuvers in different weather conditions. Firstly, some important historical milestones are presented. Secondly, the state-of-the-art automated driving applications (adaptive cruise control, pedestrian collision avoidance, etc.) are introduced with a focus on all-weather activity. Thirdly, the most involved sensor technologies (radar, lidar, ultrasonic, camera, and far-infrared) employed by automated driving applications are studied. Furthermore, the difference between the current and expected states of performance is determined by the use of spider charts. As a result, a fusion perspective is proposed that can fill gaps and increase the robustness of the perception system. |
| first_indexed | 2024-03-10T14:49:36Z |
| format | Article |
| id | doaj.art-38b8acc98b274623af3801da71de4c8e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:49:36Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-38b8acc98b274623af3801da71de4c8e2023-11-20T21:02:35ZengMDPI AGSensors1424-82202020-11-012022653210.3390/s20226532The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature ReviewAbdul Sajeed Mohammed0Ali Amamou1Follivi Kloutse Ayevide2Sousso Kelouwani3Kodjo Agbossou4Nadjet Zioui5Hydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, CanadaHydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, CanadaHydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, CanadaHydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, CanadaHydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, CanadaHydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, CanadaPerception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain causes serious accidents worldwide. Therefore, it is important to be aware of the impact of weather conditions on perception performance while driving on highways and urban traffic in all weather conditions. The goal of this paper is to provide a survey of sensing technologies used to detect the surrounding environment and obstacles during driving maneuvers in different weather conditions. Firstly, some important historical milestones are presented. Secondly, the state-of-the-art automated driving applications (adaptive cruise control, pedestrian collision avoidance, etc.) are introduced with a focus on all-weather activity. Thirdly, the most involved sensor technologies (radar, lidar, ultrasonic, camera, and far-infrared) employed by automated driving applications are studied. Furthermore, the difference between the current and expected states of performance is determined by the use of spider charts. As a result, a fusion perspective is proposed that can fill gaps and increase the robustness of the perception system.https://www.mdpi.com/1424-8220/20/22/6532autonomous vehiclesadvanced driver assistance systemsinfrared cameralidarroad safetyradar |
| spellingShingle | Abdul Sajeed Mohammed Ali Amamou Follivi Kloutse Ayevide Sousso Kelouwani Kodjo Agbossou Nadjet Zioui The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review Sensors autonomous vehicles advanced driver assistance systems infrared camera lidar road safety radar |
| title | The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review |
| title_full | The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review |
| title_fullStr | The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review |
| title_full_unstemmed | The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review |
| title_short | The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review |
| title_sort | perception system of intelligent ground vehicles in all weather conditions a systematic literature review |
| topic | autonomous vehicles advanced driver assistance systems infrared camera lidar road safety radar |
| url | https://www.mdpi.com/1424-8220/20/22/6532 |
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