Fast 3D Semantic Mapping in Road Scenes
نویسندگان
چکیده
منابع مشابه
Semantic mapping of road scenes
The problem of understanding road scenes has been on the fore-front in the computer vision community for the last couple of years. This enables autonomous systems to navigate and understand the surroundings in which it operates. It involves reconstructing the scene and estimating the objects present in it, such as ‘vehicles’, ‘road’, ‘pavements’ and ‘buildings’. This thesis focusses on these as...
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This paper presents an approach for the automatic pixelwise labeling of road scenes using a Probabilistic Graphical Model (PGM). The learning stage is based upon Conditional Random Fields (CRFs) and the inference of the semantic classes is relies on Tree-Reweighted Belief Propagation (TRW). The employment of miniaturized images based on superpixels is proposed and validated to achieve real time...
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Exploiting synthetic data to learn deep models has attracted increasing attention in recent years. However, the intrinsic domain difference between synthetic and real images usually causes a significant performance drop when applying the learned model to real world scenarios. This is mainly due to two reasons: 1) the model overfits to synthetic images, making the convolutional filters incompete...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9040631