![]() The estimation of multiple illuminants of unusual color settings, such as blue or red of high chroma, has not been studied yet. However, existing color estimations mainly focus on the single illuminant of normal color ranges. #Color lines download full#Recent lighting environments enhance colorfulness due to the spread of light-emitting diode (LED) lightings whose colors are flexibly controlled in a full visible spectrum. The colors of objects in natural images are affected by the color of lighting, and accurately estimating an illuminant's color is indispensable in analyzing scenes lit by colored lightings. Furthermore, we proposed new methods to improve 3D scene understanding for autonomous vehicles. In this thesis, we studied the pertinence of including hyperspectral images in the creation of new virtual environments. However, they are not as realistic as the real world is. An alternative is to simulate virtual environments where all possible configurations can be set up beforehand. Due to the huge number of possible scenarios, it is not feasible to perform it in real life. A very important bottleneck nowadays for the autonomous vehicle is the evaluation of the proposed algorithms. One of them is the autonomous vehicle where many efforts have been made in the last century to make it real. More recently, thanks to the development of low-cost sensors and the publication of some opensource libraries, they have become very popular and have been applied to a wider range of applications. Initially, they were mostly used for remote sensing applications. Point clouds have attracted the interest of the research community over the last years. ![]()
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