Naslov
A Unified Approach for On-Road Visual Night-time Vehicle Light Detection

Autori
Jurić Darko ; Lončarić Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Advances in Visual Computing / Bebis George - Las Vegas (NV) : Springer, 2014, 730-740

Skup
10th International Symposium on Visual Computing

Mjesto i datum
Las Vegas (NV), Sjedinjene Američke Države, 08.12.2014. - 10.12.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
headlight-detection ; rear-light classification ; object detection ; nighttime-vehicle-detection

Sažetak
Traffic accidents are more frequent during night- time despite lower traffic volume. Driver assistance systems can increase car and road safety. Such systems are often visual based, where the base is vehicle light detection. A method for night-time vehicle light detection is presented which is capable to detect front and rear vehicle lights. The detection procedure operates on raw pixels, which does not need extensive image pre- processing such as image segmentation thus improving robustness and performance. Although two classes of vehicle lights are detected, a single binary classifier architecture is used to detect all categories of vehicles lights. The obtained detections are then labeled by using the same approach. The result is a simple yet effective architecture capable to detect vehicle lights in various night-time lighting conditions.

Izvorni jezik
Engleski

Znanstvena područja
Religijske znanosti (interdisciplinarno polje)

POVEZANOST RADA