ITSWC2015gvelezootaegui智能交通世界大会ITS智慧城市社区人工智能AI物联网IT报告课件教案.pdfVIP

ITSWC2015gvelezootaegui智能交通世界大会ITS智慧城市社区人工智能AI物联网IT报告课件教案.pdf

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22nd ITS World Congress, Bordeaux, France, 5–9 October 2015 Paper number ITS-2357 Embedded Platforms for Computer Vision-based Advanced Driver Assistance Systems: a Survey * Gorka Velez , Oihana Otaegui Vicomtech-IK4, Paseo Mikeletegi 57, 20009 San Sebastian, Spain Tel: +34943309230, gvelez@, ootaegui@ Abstract Computer Vision, either alone or combined with other technologies such as radar or Lidar, is one of the key technologies used in Advanced Driver Assistance Systems (ADAS). Its role understanding and analysing the driving scene is of great importance as it can be noted by the number of ADAS applications that use this technology. However, porting a vision algorithm to an embedded automotive system is still very challenging, as there must be a trade-off between several design requisites. Furthermore, there is not a standard implementation platform, so different alternatives have been proposed by both the scientific community and the industry. This paper aims to review the requisites and the different embedded implementation platforms that can be used for Computer Vision-based ADAS, with a critical analysis and an outlook to future trends. Keywords: ADAS, Computer Vision, Embedded Introduction The importance of mobility is paramount, as it is the base for commercial trading, and therefore, fundamental for the economy. Mobility has allowed the creation of new industries and services, and has boosted collaboration between countries. Consequently, it is clear that achieving intelligent mobility will impact on societal and individual well-being as well as contributing to quality of life. The goal in highly industrial

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