Abstract: The foremost challenge that FSO come across is the transmitting media linking transmitters and receivers where many weather conditions can influence the capacity of the FSO link such as level of rain, haze, Fog, cloud bursting, scattering and turbulence resulting in fading of the transmitted signal and causing high bit error rate or signal loss at the receiver end. In this work, the impact of turbulence on OFDM-OTSB-FSO system is modeled and analyzed using the gamma-gamma distribution modeling at 10 Gbps over the FSO link. To achieve high speed FSO link under the sway of small and high scale turbulence variations, OFDM-OTSB treated data transmission is reported and demonstrated.

• Publication Date: 19-Apr-2015
• DOI: 10.15224/978-1-63248-044-6-22
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Abstract: Estimating its ego-motion is one of the most important capabilities for an autonomous mobile platform. Without reliable ego-motion estimation no long-term navigation is possible. Besides odometry, inertial sensors, DGPS, laser range finders and so on, vision based algorithms can contribute a lot of information. Stereo odometry is a vision based motion estimation algorithm that estimates the egomotion of a stereo camera through its environment by evaluatingthe captured images. In this paper, we want to give an integrated overview of stereo odometry and the accompanying literature. We want to emphasize the fact that stereo odometry is a chain of several single subprocesses where each relies on its predecessor’s results. A variety of exchangeable methods for each of these subprocesses is available.The key to a more accurate and efficient stereo odometry lies in an integrated analysis of its single subprocesses and the many algorithms available.

• Publication Date: 19-Apr-2015
• DOI: 10.15224/978-1-63248-044-6-23
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