U prošlosti je regionalna geografija imala veću važnost u sveučilišnim nastavnim programima geografije nego danas. Na nekim je slovenskim sveučilištima regionalna geografija Azije samo izborni ...predmet. To smatramo slabom točkom jer je Azija (a unatrag desetak godina osobito jugoistočna Azija) jedna od vodećih gospodarskih sila i najnastanjeniji kontinent, te bi geografi trebali biti upoznati s pojedinim njezinim regijama. Naš je cilj bio analizirati nastavni program geografije jugoistočne Azije i steći uvid u njegovu strukturu i metodogiju obrazovanja. U tu smo svrhu analizirali nastavne programe geografije i 27 materijala za učenje geografije jugoistočne Azije. Dodatni nam je cilj bio otkriti zahtijeva li regionalna geografija jugoistočne Azije inovativnije obrazovne pristupe s obzirom na to da mnogo geografa traži posao u tom dijelu svijeta. Otkrili smo da unatoč svakodnevnim vezama s jugoistočnom Azijom zbog mnoštva proizvoda i izvora energije iz toga dijela svijeta mi i dalje taj dio Azije ne uključujemo posve u poučavanje regionalne geografije.
There has been a significant change in trends in the automotive industry over the last ten years. Vehicles equipped with different Advanced Driver Assistance Systems (ADAS) are increasingly present ...on the roads, whereas the level of their autonomy increases over time. For autonomous vehicles to work properly, it is necessary to have reliable ADAS that process different input signals from distinct sensors. One of the most important ADAS algorithms is that intended for lane detection (LD) and lane departure warning (LDW). In this paper, a new algorithm for LD on the road and LDW, which processes only images obtained from the camera located at the front end of the vehicle, is proposed. The algorithm provides information on the number of detected lane lines in the image and their position on the image while marking the current driving lane and the first two adjacent lanes if they exist. If the vehicle is departing from the lane, a corresponding warning message is shown to the driver. The algorithm was tested on a set of 12 video sequences (17552 frames in total) recorded during day and night in different weather conditions. The results showed that the algorithm achieves high performance in most cases, while for some challenging cases there is room for further improvement.