Visually salient features for highway scene analysis

In applications involving autonomous vehicle or camera assisted driving it is important to have a generic prior understanding of the highway scene. We present a visually salient feature-based approach for road image understanding. We use salient features for object localization, near-far distinction and urban-rural scene classification; these tasks have such applications as in adjusting a vehicle´s speed. We empirically verify the efficacy and assess the performance of each task.