Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Driver Safety Alert System. An Alternative to Vehicle-to-Vehicle Communication
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Leigh Anthony Weston and Javier Marrero Reyes
ISBN: 9783330080126
Год издания: 2017
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 84
Издательство: LAP LAMBERT Academic Publishing
Цена: 22125 тг
Положить в корзину
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: Automotive transport unavoidably raises safety concerns for drivers, passengers, and indeed, all road users alike. Advancements in vehicle safety technologies have come a long way, and have had a major impact on the reduction of road-related accidents and fatalities. However, as the push towards autonomous vehicle systems gains momentum, assumptions must be avoided about the global application of such technologies. Worldwide, the vast majority of existing vehicles on the road do not even meet basic safety requirements, and the transition to a fully autonomous driving reality is still years away for developed countries, and at best, decades away for the rest. This paper proposes an idea for a driver safety alert system, which is realized in the form of a small-scale prototype. Using readily sourced components, this project aims to show how the system could theoretically provide drivers with more information in hazardous situations, thereby allowing them to make better decisions regardless of the year, make or model of the vehicle they currently drive. The overall goal is to foster further discussion regarding other effective, but financially viable, road safety measures.
Ключевые слова: Automotive, autonomous, IoT, Safety, V2V, Self-driving, arduino, AGENT, Sensor, semi-autonomous