Abstract:
Detecting moving objects is a very important aspect of driver assistance systems (DAS). This paper
handles this issue by using a vision based system mounted within the vehicle. The pipeline for both a
stereoscopic and monocular approach are covered. Both approaches use image sequences and compare
moving feature points over time. This sparse information is then segmented using the optimal graph-cut
algorithm, by also incorporating the grey-scale images. This paper then evaluates and contrasts the two
approaches to identify the accuracy and robustness of each approach. The two methods both work in
real-time on normal PC hardware (Quad Core CPU).
Description:
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