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--- en:research [2019/06/27 14:08] – [PRETIV Project] xuphilip
+++ en:research [2019/06/27 14:13] – [PREDiMAP Project] xuphilip
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   * A comparative dataset containing the experimental data, labeled training sets in typical traffic scenarios in both France and China with ground-truth, which will be used in learning country-specific traffic semantics, and will be opened to public to promote comparative researches on transnational traffic semantics and behaviors. To our knowledge, no such dataset has been proposed for international use.
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 ====== PREDiMAP Project ======
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 The objective of the project is to gather research teams from China, Japan, Thailand and France with complementary skills and expertise to conduct research in the area of advanced perception systems for intelligent vehicles making a large use of digital maps. The partnership will benefit from different experiences in the fields of embedded perception systems for intelligent vehicles, digital geographic and road map information production and use, and more generally spatial information sciences. The originality of the project is to fully consider the dual concept for intelligent vehicle applications: using digital maps to perceive and using perception for mapping.
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UMR CNRS 7253