On the Role of Thermal Imaging in Automotive Applications: A Critical Review
For decades, the number of automobiles in urban areas around the world has been increasing. It causes serious challenges such as traffic congestion, accidents, and pollution, which have a social, economic, and environmental impact on widespread urban cities. To overcome these challenges, we need to...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10064306/ |
| _version_ | 1827986637647249408 |
|---|---|
| author | Muhammad Ali Farooq Waseem Shariff David O'callaghan Arcangelo Merla Peter Corcoran |
| author_facet | Muhammad Ali Farooq Waseem Shariff David O'callaghan Arcangelo Merla Peter Corcoran |
| author_sort | Muhammad Ali Farooq |
| collection | DOAJ |
| description | For decades, the number of automobiles in urban areas around the world has been increasing. It causes serious challenges such as traffic congestion, accidents, and pollution, which have a social, economic, and environmental impact on widespread urban cities. To overcome these challenges, we need to explore smart AI-based perception systems for vehicular applications. Such types of systems can provide improved situational awareness to the driver and generate early alarm about upcoming obstacles and road incidents. In this study, we have presented the effective use of uncooled thermal IR sensors for designing smart thermal perception systems as an alternative to CMOS visible imaging by presenting state-of-the-art studies for in-cabin and out-cabin vehicular applications with potential long-term benefits for the automotive industry. The key rationale for selecting thermal IR sensors over conventional image sensors is that visible cameras are highly dependent on lighting conditions and performance is degraded significantly in low-lighting scenarios and harsh weather conditions. Contrary to this, thermal sensors remain largely unaffected by external lighting conditions or most environmental conditions, making them a perfect optical sensor choice for all-weather and harsh environmental conditions. This study presents a review of the current state of the art for automotive thermal imaging with a focus on the contributions and advances achieved by the EU-funded project ‘HELIAUS’ in the domain of AI-based thermal imaging pipelines for safer and reliable road journeys. |
| first_indexed | 2024-04-09T23:33:33Z |
| format | Article |
| id | doaj.art-fb7ad0d08be34df5ab002afd14130315 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-09T23:33:33Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-fb7ad0d08be34df5ab002afd141303152023-03-20T23:00:34ZengIEEEIEEE Access2169-35362023-01-0111251522517310.1109/ACCESS.2023.325511010064306On the Role of Thermal Imaging in Automotive Applications: A Critical ReviewMuhammad Ali Farooq0https://orcid.org/0000-0003-4116-8021Waseem Shariff1https://orcid.org/0000-0001-7298-9389David O'callaghan2https://orcid.org/0000-0001-6709-1128Arcangelo Merla3Peter Corcoran4https://orcid.org/0000-0003-1670-4793School of Engineering, University of Galway, Galway, IrelandSchool of Engineering, University of Galway, Galway, IrelandXperi Inc., Galway, IrelandDepartment of Engineering and Geology, G. d’Annunzio University of Chieti–Pescara, Chieti, ItalySchool of Engineering, University of Galway, Galway, IrelandFor decades, the number of automobiles in urban areas around the world has been increasing. It causes serious challenges such as traffic congestion, accidents, and pollution, which have a social, economic, and environmental impact on widespread urban cities. To overcome these challenges, we need to explore smart AI-based perception systems for vehicular applications. Such types of systems can provide improved situational awareness to the driver and generate early alarm about upcoming obstacles and road incidents. In this study, we have presented the effective use of uncooled thermal IR sensors for designing smart thermal perception systems as an alternative to CMOS visible imaging by presenting state-of-the-art studies for in-cabin and out-cabin vehicular applications with potential long-term benefits for the automotive industry. The key rationale for selecting thermal IR sensors over conventional image sensors is that visible cameras are highly dependent on lighting conditions and performance is degraded significantly in low-lighting scenarios and harsh weather conditions. Contrary to this, thermal sensors remain largely unaffected by external lighting conditions or most environmental conditions, making them a perfect optical sensor choice for all-weather and harsh environmental conditions. This study presents a review of the current state of the art for automotive thermal imaging with a focus on the contributions and advances achieved by the EU-funded project ‘HELIAUS’ in the domain of AI-based thermal imaging pipelines for safer and reliable road journeys.https://ieeexplore.ieee.org/document/10064306/Thermal-infraredAIin-cabinout-cabin monitoringadvanced driver-assistance system (ADAS)deep learning |
| spellingShingle | Muhammad Ali Farooq Waseem Shariff David O'callaghan Arcangelo Merla Peter Corcoran On the Role of Thermal Imaging in Automotive Applications: A Critical Review IEEE Access Thermal-infrared AI in-cabin out-cabin monitoring advanced driver-assistance system (ADAS) deep learning |
| title | On the Role of Thermal Imaging in Automotive Applications: A Critical Review |
| title_full | On the Role of Thermal Imaging in Automotive Applications: A Critical Review |
| title_fullStr | On the Role of Thermal Imaging in Automotive Applications: A Critical Review |
| title_full_unstemmed | On the Role of Thermal Imaging in Automotive Applications: A Critical Review |
| title_short | On the Role of Thermal Imaging in Automotive Applications: A Critical Review |
| title_sort | on the role of thermal imaging in automotive applications a critical review |
| topic | Thermal-infrared AI in-cabin out-cabin monitoring advanced driver-assistance system (ADAS) deep learning |
| url | https://ieeexplore.ieee.org/document/10064306/ |
| work_keys_str_mv | AT muhammadalifarooq ontheroleofthermalimaginginautomotiveapplicationsacriticalreview AT waseemshariff ontheroleofthermalimaginginautomotiveapplicationsacriticalreview AT davidocallaghan ontheroleofthermalimaginginautomotiveapplicationsacriticalreview AT arcangelomerla ontheroleofthermalimaginginautomotiveapplicationsacriticalreview AT petercorcoran ontheroleofthermalimaginginautomotiveapplicationsacriticalreview |