Context-based driver support system development: Methodology and case study
In modem world count of vehicle in the roads grown every year that causes increasing traffic accidents. In this case a system that can recognize a dangerous situation caused by a driver drowsiness and / or distraction and can help avoid part of these accidents. ADAS systems that use different sensor...
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Format: | Article |
Language: | English |
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FRUCT
2017-11-01
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Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
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Online Access: | https://fruct.org/publications/fruct21/files/Kas.pdf
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author | Alexey Kashevnik Igor Lashkov Vladimir Parfenov Nikolay Mustafin Olesya Baraniuc |
author_facet | Alexey Kashevnik Igor Lashkov Vladimir Parfenov Nikolay Mustafin Olesya Baraniuc |
author_sort | Alexey Kashevnik |
collection | DOAJ |
description | In modem world count of vehicle in the roads grown every year that causes increasing traffic accidents. In this case a system that can recognize a dangerous situation caused by a driver drowsiness and / or distraction and can help avoid part of these accidents. ADAS systems that use different sensors and integrated to vehicles are popular for luxury segment and, therefore, less accessible for end mass consumer. This paper aims at methodology development for vehicle incidents alerting based on mobile measurements of a driver behavior in the cabin using the personal smartphone mounted in the vehicle windshield. Methodology includes the reference model for the driver support system, dangerous situation recognition method, and context- based models aimed at recommendation generation for the driver based on recognized dangerous situation and current situation around the vehicle. |
first_indexed | 2024-04-12T21:19:48Z |
format | Article |
id | doaj.art-e698a66b447a46f39bc65f45c28bad60 |
institution | Directory Open Access Journal |
issn | 2305-7254 2343-0737 |
language | English |
last_indexed | 2024-04-12T21:19:48Z |
publishDate | 2017-11-01 |
publisher | FRUCT |
record_format | Article |
series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
spelling | doaj.art-e698a66b447a46f39bc65f45c28bad602022-12-22T03:16:20ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372017-11-015622116217110.23919/FRUCT.2017.8250179Context-based driver support system development: Methodology and case studyAlexey Kashevnik0Igor Lashkov1Vladimir Parfenov2Nikolay Mustafin3Olesya Baraniuc4SPIIRAS, St. Petersburg, RussiaSPIIRAS, St. Petersburg, RussiaITMO University, St. Petersburg, RussiaSPIIRAS, St. Petersburg, RussiaITMO University, St. Petersburg, RussiaIn modem world count of vehicle in the roads grown every year that causes increasing traffic accidents. In this case a system that can recognize a dangerous situation caused by a driver drowsiness and / or distraction and can help avoid part of these accidents. ADAS systems that use different sensors and integrated to vehicles are popular for luxury segment and, therefore, less accessible for end mass consumer. This paper aims at methodology development for vehicle incidents alerting based on mobile measurements of a driver behavior in the cabin using the personal smartphone mounted in the vehicle windshield. Methodology includes the reference model for the driver support system, dangerous situation recognition method, and context- based models aimed at recommendation generation for the driver based on recognized dangerous situation and current situation around the vehicle.https://fruct.org/publications/fruct21/files/Kas.pdf Driver Support SystemContextSmartphoneDangerous Situation |
spellingShingle | Alexey Kashevnik Igor Lashkov Vladimir Parfenov Nikolay Mustafin Olesya Baraniuc Context-based driver support system development: Methodology and case study Proceedings of the XXth Conference of Open Innovations Association FRUCT Driver Support System Context Smartphone Dangerous Situation |
title | Context-based driver support system development: Methodology and case study |
title_full | Context-based driver support system development: Methodology and case study |
title_fullStr | Context-based driver support system development: Methodology and case study |
title_full_unstemmed | Context-based driver support system development: Methodology and case study |
title_short | Context-based driver support system development: Methodology and case study |
title_sort | context based driver support system development methodology and case study |
topic | Driver Support System Context Smartphone Dangerous Situation |
url | https://fruct.org/publications/fruct21/files/Kas.pdf
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work_keys_str_mv | AT alexeykashevnik contextbaseddriversupportsystemdevelopmentmethodologyandcasestudy AT igorlashkov contextbaseddriversupportsystemdevelopmentmethodologyandcasestudy AT vladimirparfenov contextbaseddriversupportsystemdevelopmentmethodologyandcasestudy AT nikolaymustafin contextbaseddriversupportsystemdevelopmentmethodologyandcasestudy AT olesyabaraniuc contextbaseddriversupportsystemdevelopmentmethodologyandcasestudy |