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eMapgo Joined 2017 Changshu Intelligent Vehicle Exhibition

发布时间:2018-01-31  阅读次数:395    

On November 22 to 24, 2017 Changshu Intelligent Vehicle Exhibition, with the theme of “Connect the Industry, Create the Future”was held in Changshu International Exhibition Center.

It was reported that nearly 200 companies joined the exhibition. The exhibits included intelligent vehicle, autonomous driving & IOV, AI & intelligent transportation, and vehicle electronics &key component. eMapgo was invited to join the exhibition.

                                          Dr. Jun Li, Academician of Chinese Academy of Engineering (second from right)

                                            Dr. Zongze Wu, Chairman of China Intelligent Transportation Association(fourth from right)

As a leading provider of digital navigation map, eMapgo not only excels at the development of traditional navigation map, but also devotes itself to the R&D of HD map. As we all know, HD map is already an indispensable part in the realization of autonomous driving. Thus, eMapgo caught attention during the exhibition. Dr. Jun Li, Academician of Chinese Academy of Engineering and Dr. Zongze Wu, Chairman of China Intelligent Transportation Association and many other experts visited eMapgo’s exhibition and showed interests in our exhibits.

                                                   Yang Wang, Changshu Party Secretary (first from right)

The show by eMapgo has the theme of “Getting Closer to Autonomous Driving”. eMapgo’s mobile driving recorder APP can help drivers to record road images which can be used to make map data by image recognition technology. This crowdsourcing APP aims to make, upgrade and release maps intelligently, and to largely reduce cost and improve efficiency compared with traditional manual work. eMapgo also exhibits two ways of making HD map, computer vision and point cloud. They both have their own advantages. Making HD map through point cloud is more mature, more accurate and richer in attributes, while making HD map through computer vision is cheaper and highly automatic.