- Tytuł:
- Moving object detection in car traffic with implementation of optical sensors
- Autorzy:
-
Szablata, Piotr
Łąkowski, Paweł
Pochmara, Janusz - Powiązania:
- https://bibliotekanauki.pl/articles/1841238.pdf
- Data publikacji:
- 2020
- Wydawca:
- Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
- Tematy:
-
infrared sensors
linearization algorithm
collision detection
blind data algorithm
tracking objects
Intel R200
czujniki podczerwieni
algorytm linearyzacji
wykrywanie kolizji
algorytmy ślepe
śledzenie obiektów - Opis:
- In this investigation, the problem of moving object detection - without any knowledge - is classified. It describes a technique that will allow real-time localization with usage of IR sensors. The proposed algorithm is simplistic, and in the future, it might be implemented into any vehicle, premium or entry level. It is guided by AI that must calculate its next moves in the blink of an eye without user noticing any delays. The main problem of moving object recognition was extraction of proper features, description of the events, and choice of only the crucial ones. The presented novel approach does not follow any standard algorithms. It is a practical hardware implementation of custom solution, based on processing system, which can be well situated in the safety modules of future cars.
- Źródło:
-
Transport Problems; 2020, 15, 4, cz. 1; 105-116
1896-0596
2300-861X - Pojawia się w:
- Transport Problems
- Dostawca treści:
- Biblioteka Nauki
Artykuł