id: 05781148
dt: j
an: 05781148
au: Oliveira, Luciano; Nunes, Urbano; Peixoto, Paulo; Silva, Marco; Moita,
    Fernando
ti: Semantic fusion of laser and vision in pedestrian detection.
so: Pattern Recognition 43, No. 10, 3648-3659 (2010).
py: 2010
pu: Elsevier Science Ltd. (Pergamon), Oxford
la: EN
cc: 
ut: semantic sensor fusion; pedestrian detection; Markov logic network
ci: 
li: doi:10.1016/j.patcog.2010.05.014
ab: Summary: Fusion of laser and vision in object detection has been
    accomplished by two main approaches: (1) independent integration of
    sensor-driven features or sensor-driven classifiers, or (2) a region of
    interest (ROI) is found by laser segmentation and an image classifier
    is used to name the projected ROI. Here, we propose a novel fusion
    approach based on semantic information, and embodied on many levels.
    Sensor fusion is based on spatial relationship of parts-based
    classifiers, being performed via a Markov logic network. The proposed
    system deals with partial segments, it is able to recover depth
    information even if the laser fails, and the integration is modeled
    through contextual information-characteristics not found on previous
    approaches. Experiments in pedestrian detection demonstrate the
    effectiveness of our method over data sets gathered in urban scenarios.
rv: