Dalga önü modülasyonu kullanılarak lidar ve makine vizyonu için 3 boyutlu görüntüleme

Autonomous vehicles have proven to be very efficient in daily routine jobs and their impact will continue to increase given the recent developments in artificial intelligence, boosted by increased computation capacity. These vehicles are generally equipped with 2D imaging sensors and asked to accomplish tasks in a 3D world, which hamper their functionalities. In this study, we experimentally investigate and develop 3D imaging technologies. We first demonstrate colorful 3D imaging via time of flight measurements in order to map the target scene to a 3D point cloud data and secondly perform triangulation method. For time of flight measurements, we employ a digital micro-mirror device with a resolution of 1920x1080 and a range finder in order to scan the target. We scan the target with a resolution of 8x2, 16x2, and 8x4 using our first method. Second, we employ structured light method to scan the target in 3D using again the digital micro-mirror device in conjunction with a white light source. Using triangulation, we were able to scan the target with a resolution 1920x1080. Our results indicate that in terms of resolution triangulation method gives better results. We can foresee that triangulation and time of flight measurement methods are combined a robust and high-resolution 3D vision can be developed which will increase vision capabilities of autonomous vehicles that shape our future.