Advance Driver Assistance Systems (ADAS), once limited to high end luxury automobiles are fast becoming popular with Mid and entry level segments driven in part by legislation coming in to effect in the latter part of this decade. These systems require support for a wide variety of applications, from surround-view visual systems to safety critical vision applications (eg Pedestrian Detect, automatic braking etc). In this white paper we describe some of the existing and emerging trends and applications in each of these segments along with the requirements and motivations for each of these features. We also highlight TI's automotive class TDA2x device, a state of the art automotive grade device capable of handling complex ADAS applications within a low power and cost budget.

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The work described here discusses the analysis of images in port settings. As cargo containers are of specific colors, the hue information is being exploited to segment, identify and compress such video streams. A novel scheme using multiple processes has been developed. The first process is obtaining the vector angle between the RGB components which is used to segment images based on the color. The second process is the Hough transformation that is carried out on the vector angle result as well as a Laplacian of the saturation image. Using the Hough transform result on both the vector angle result and the Laplacian, various broken segments are connected effectively without adding redundancy. This information can then be used to detect corners and perform compression.

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