Research Of Base On Light Distribution Curve Reconstruction Automotive Lighting Scene

Automobile headlamps is an important guarantee of the car driving safety at night,its safety and comfort are very important. Through auto lighting scenario, weintuitively feel lighting headlamps lighting effect. But in the process of the design andproduction of headlamps, we can’t see or taken to real lighting scene, but we canthrough the optical instruments for the light distribution curve of lamps and lanterns. Ifwe can pass light distribution curve reconstruction of lamps and lanterns lighting scene,to the design and production of lamps and lanterns has important guiding significance.In this thesis, commonly used in automotive headlamp detection methods areintroduced and discussed， Then introduced the HDR (High Dynamic Range)technology and the human visual characteristics. Through the HDR technology we cansolve the problem of photo records only partly lighting scene, based on the research ofthe human visual characteristics, we can get the method how to reconstruct lightingscene. In the third chapter, the paper highlights a very important influence on thehuman visual flux, surface brightness, lighting range, lighting uniformity, glareevaluation criteria to drive these factors and their calculation methods, as well as forhuman vision response and response formula brightness varies. And in the chapter fouron the basis of these algorithms are simulated, reconstructed the lighting scene by lightdistribution curve, and through the analysis of the performance of HDR images provethe accuracy of HDR photos lighting scene, finally will reshape the lighting scene andcompares the real vehicle lighting scenes, to verify the accuracy and feasibility of thesealgorithms, to prove the value of the refactoring lighting scene.