Labelling Road Scenes Using Machine Learning and Stereo Vision
Thomas Osgood
Broschiertes Buch

Labelling Road Scenes Using Machine Learning and Stereo Vision

Semantic labelling of road scenes using supervised and unsupervised machine learning with LIDAR-stereo sensor fusion

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Vehicles capable of sensing their surroundings are not only of interest to car manufactures for safety systems, but the underlying systems are also applicable to autonomous space exploration, military applications e.g. the DARPA challenge and fully autonomous passenger cars. The ability to autonomously detect and avoid pedestrians, for example, would be the next step in the suite of existing vision based driver assistance technologies such as road sign detection and lane departure warning systems. The main goal of this work is to explore all the tasks involved in the processing of raw sensor d...