2019 Alibaba Cloud Yunci Conference – Gaode Technology Session (Sept 27)
At the 2019 Alibaba Cloud Yunci Conference in Hangzhou, Gaode Technology presented a comprehensive technical forum covering visual intelligence, autonomous-driving perception, the evolution of its client and traffic-access architecture, fine-grained positioning, route-planning algorithms, and spatio-temporal data applications, featuring expert talks from Gaode and Alibaba specialists.
The 2019 Alibaba Cloud Yunci Conference (formerly Alibaba Cloud Developer Conference) is a major global developer event, attracting over 120,000 participants from 81 countries. The conference’s tenth edition focuses on breakthroughs in fundamental science, innovative technologies and applications for the next 20 years.
As part of the conference, Gaode (Amap) organizes a technical forum covering visual and machine intelligence, online navigation engine and services, fine‑grained positioning, spatio‑temporal data usage, and the evolution of billion‑scale traffic architecture.
Key sessions (Sept 27, 13:30‑17:00, Alibaba Cloud Yunci Town, Hangzhou) include:
13:30‑14:00 “Visual Intelligence Connecting the Real World” – Ren Xiaofeng, Chief Scientist, Gaode Maps.
14:00‑14:30 “Visual Perception‑Driven Mass‑Production Autonomous Driving” – Dr. Shi Jianping, Research Director, SenseTime.
14:30‑15:00 “Gaode Client and Engine Architecture Evolution and Reflections” – Song Zhaochun, Senior Wireless Development Expert, Alibaba.
15:00‑15:30 “Evolution of Gaode’s Billion‑Scale Traffic Access Layer Services” – Sun Wei, Senior Technical Expert, Alibaba.
15:30‑16:00 “Positioning Technology Evolving Toward Scenario‑Based, Fine‑Grained Solutions” – Fang Xing, Senior Map Technology Expert, Alibaba.
16:00‑16:30 “Travel Route Planning Algorithms: Applications and Practices” – Wang Junhui, Senior Map Technology Expert, Alibaba.
16:30‑17:00 “Spatio‑Temporal Data Applications in Map Scenarios” – Dong Qingzhou, Senior Data Technology Expert, Alibaba.
Each talk is accompanied by a speaker biography and a brief abstract describing the technical content, ranging from computer vision and deep learning for autonomous driving to large‑scale backend service design, high‑precision positioning, route planning algorithms, and spatio‑temporal data mining.
The session is open for registration; further details are available in the original announcement.
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