Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916195139059712 |
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| author | Cañas, Paola Natalia García, Mikel Aranjuelo, Nerea Nieto, Marcos Iglesias, Aitor Rodríguez, Igor |
| author_facet | Cañas, Paola Natalia García, Mikel Aranjuelo, Nerea Nieto, Marcos Iglesias, Aitor Rodríguez, Igor |
| contents | This paper describes the methodology for building a dynamic risk assessment for ADAS (Advanced Driving Assistance Systems) algorithms in parking scenarios, fusing exterior and interior perception for a better understanding of the scene and a more comprehensive risk estimation. This includes the definition of a dynamic risk methodology that depends on the situation from inside and outside the vehicle, the creation of a multi-sensor dataset of risk assessment for ADAS benchmarking purposes, and a Local Dynamic Map (LDM) that fuses data from the exterior and interior of the car to build an LDM-based Dynamic Risk Assessment System (DRAS). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_04040 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios Cañas, Paola Natalia García, Mikel Aranjuelo, Nerea Nieto, Marcos Iglesias, Aitor Rodríguez, Igor Computer Vision and Pattern Recognition Systems and Control This paper describes the methodology for building a dynamic risk assessment for ADAS (Advanced Driving Assistance Systems) algorithms in parking scenarios, fusing exterior and interior perception for a better understanding of the scene and a more comprehensive risk estimation. This includes the definition of a dynamic risk methodology that depends on the situation from inside and outside the vehicle, the creation of a multi-sensor dataset of risk assessment for ADAS benchmarking purposes, and a Local Dynamic Map (LDM) that fuses data from the exterior and interior of the car to build an LDM-based Dynamic Risk Assessment System (DRAS). |
| title | Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios |
| topic | Computer Vision and Pattern Recognition Systems and Control |
| url | https://arxiv.org/abs/2404.04040 |