Driver Assistance Technologies
Topic: Driver Assistance Technology is emerging as new driving technology popularly known as ADAS. It is supported with Adaptive Cruise Control, Automatic Emergency Brake, blind spot monitoring, lane change assistance, and forward collision warnings etc. It is an important platform to integrate thes...
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2020
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/73821 |
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| _version_ | 1879164721832132608 |
|---|---|
| author | Sarkar, Pradip Kumar |
| author_browse | Sarkar, Pradip Kumar |
| author_facet | Sarkar, Pradip Kumar |
| author_sort | Sarkar, Pradip Kumar |
| building | IntechOpen |
| collection | Acceso abierto |
| description | Topic: Driver Assistance Technology is emerging as new driving technology popularly known as ADAS. It is supported with Adaptive Cruise Control, Automatic Emergency Brake, blind spot monitoring, lane change assistance, and forward collision warnings etc. It is an important platform to integrate these multiple applications by using data from multifunction sensors, cameras, radars, lidars etc. and send command to plural actuators, engine, brake, steering etc. ADAS technology can detect some objects, do basic classification, alert the driver of hazardous road conditions, and in some cases, slow or stop the vehicle. The architecture of the electronic control units (ECUs) is responsible for executing advanced driver assistance systems (ADAS) in vehicle which is changing as per its response during the process of driving. Automotive system architecture integrates multiple applications into ADAS ECUs that serve multiple sensors for their functions. Hardware architecture of ADAS and autonomous driving, includes automotive Ethernet, TSN, Ethernet switch and gateway, and domain controller while Software architecture of ADAS and autonomous driving, including AUTOSAR Classic and Adaptive, ROS 2.0 and QNX. This chapter explains the functioning of Assistance Driving Technology with the help of its architecture and various types of sensors. |
| doi_str_mv | 10.5772/intechopen.94354 |
| first_indexed | 2026-10-15T21:38:50Z |
| format | Book Chapter |
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<dc:title>Driver Assistance Technologies</dc:title>
<dc:creator>Pradip Kumar Sarkar</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>Topic: Driver Assistance Technology is emerging as new driving technology popularly known as ADAS. It is supported with Adaptive Cruise Control, Automatic Emergency Brake, blind spot monitoring, lane change assistance, and forward collision warnings etc. It is an important platform to integrate these multiple applications by using data from multifunction sensors, cameras, radars, lidars etc. and send command to plural actuators, engine, brake, steering etc. ADAS technology can detect some objects, do basic classification, alert the driver of hazardous road conditions, and in some cases, slow or stop the vehicle. The architecture of the electronic control units (ECUs) is responsible for executing advanced driver assistance systems (ADAS) in vehicle which is changing as per its response during the process of driving. Automotive system architecture integrates multiple applications into ADAS ECUs that serve multiple sensors for their functions. Hardware architecture of ADAS and autonomous driving, includes automotive Ethernet, TSN, Ethernet switch and gateway, and domain controller while Software architecture of ADAS and autonomous driving, including AUTOSAR Classic and Adaptive, ROS 2.0 and QNX. This chapter explains the functioning of Assistance Driving Technology with the help of its architecture and various types of sensors.</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2020-10-30</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/73821</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.94354</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-83880-802-0</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/9872 ; Models and Technologies for Smart, Sustainable and Safe Transportation Systems</dc:source>
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| id | intech-73821 |
| institution | IntechOpen |
| isbn | 978-1-83880-802-0 |
| language | English |
| last_indexed | 2026-10-15T21:38:50Z |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-738212020-10-30 Driver Assistance Technologies Pradip Kumar Sarkar Physical Sciences, Engineering and Technology Topic: Driver Assistance Technology is emerging as new driving technology popularly known as ADAS. It is supported with Adaptive Cruise Control, Automatic Emergency Brake, blind spot monitoring, lane change assistance, and forward collision warnings etc. It is an important platform to integrate these multiple applications by using data from multifunction sensors, cameras, radars, lidars etc. and send command to plural actuators, engine, brake, steering etc. ADAS technology can detect some objects, do basic classification, alert the driver of hazardous road conditions, and in some cases, slow or stop the vehicle. The architecture of the electronic control units (ECUs) is responsible for executing advanced driver assistance systems (ADAS) in vehicle which is changing as per its response during the process of driving. Automotive system architecture integrates multiple applications into ADAS ECUs that serve multiple sensors for their functions. Hardware architecture of ADAS and autonomous driving, includes automotive Ethernet, TSN, Ethernet switch and gateway, and domain controller while Software architecture of ADAS and autonomous driving, including AUTOSAR Classic and Adaptive, ROS 2.0 and QNX. This chapter explains the functioning of Assistance Driving Technology with the help of its architecture and various types of sensors. IntechOpen 2020-10-30 Chapter, Part Of Book https://www.intechopen.com/chapters/73821 doi:10.5772/intechopen.94354 en ISBN:978-1-83880-802-0 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/9872 ; Models and Technologies for Smart, Sustainable and Safe Transportation Systems |
| spellingShingle | Physical Sciences, Engineering and Technology Sarkar, Pradip Kumar Driver Assistance Technologies |
| title | Driver Assistance Technologies |
| title_full | Driver Assistance Technologies |
| title_fullStr | Driver Assistance Technologies |
| title_full_unstemmed | Driver Assistance Technologies |
| title_short | Driver Assistance Technologies |
| title_sort | driver assistance technologies |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/73821 |
| work_keys_str_mv | AT sarkarpradipkumar driverassistancetechnologies |