Introduction: In 2019, as the first national travel platform with a daily life of over 100 million, amap’s users of TO C and to B both reached new highs. It is thousands of Autonavi technicians working day and night who support and drive the rapid development of business. Now autonavi Technology 2019 Collection is available for free, with 6 chapters throughout the year to reveal the “temperature” of the technology!

Looking back at 2019, as the first national travel platform with a daily life of over 100 million, the number of users of Autonavi Map to C and To B reached a new high. It is thousands of Autonavi technicians working day and night who support and drive the rapid development of business. Now autonavi Technology 2019 Collection is available for free, with 6 chapters throughout the year to reveal the “temperature” of the technology!

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The Spring Festival is approaching and the flavor of the year is getting stronger.

2019 is a year for Autonavi technical staff to work hard.

Artificial intelligence technology has been fully implemented in Amap, playing an increasingly important role in business scenes such as vision, search, navigation and positioning. Client mobile, automotive technology, service architecture, data research and development, quality and other technical fields have also achieved deepening, integration, intelligence, innovation and breakthrough to provide users with more accurate and efficient map services and interactive experience.

  • Visual technology: rapid development and breakthrough, not only the quality and efficiency of automated map making to a new level, but also to create the industry’s best automated high-precision map making system. Actively explore new product forms, develop and release the new experience of Autonavi AR navigation system, on the common hardware to achieve accurate and intuitive real navigation and a number of practical driving assistance functions.
  • Search recommendations: Focus on users. Using massive spatial-temporal travel and open platform data, model users’ travel habits, make destination prediction and demand prediction more accurate, and search, recommendation and voice more humanized and accurate in different scenarios. The POI index, an evaluation system describing the real world, was introduced to improve the POI in-depth knowledge map, and the encyclopedia of food, housing and shopping shops was initially established to improve the efficiency of users’ life decision-making.
  • Machine learning: strengthen capacity building in data and service center, deeply explore the application of data and algorithms in business. The spatial temporal depth model unique to the map domain is constructed to achieve the absolute priority of data quality and update efficiency. In the field of travel service, it deeply combines spatio-temporal information and introduces highly time-sensitive traffic events to improve the accuracy of road condition prediction. In the planning algorithm, a new technical system has been developed and built by using diversified travel data and deep learning algorithms, enabling route planning to be equipped with the ability of scene customization based on people, time and space, and events.
  • Positioning technology: strengthen the role of capability center and technology-driven problem-solving ideas, and constantly improve capacity building in the field of scenario-oriented network positioning, DR location calculation, GNSS quality identification and other fields.
  • Front-end mobile: Fully combine ali’s economic resources to create autonavi’s unique client layered architecture, solve the problem of rapid business landing, focus on strengthening the framework of cloud and end cooperation, enhance the ability of end container, and effectively identify common business.
  • Automotive technology: Deepening engineering service capabilities To achieve rapid iteration of requirements through flexible and efficient updating capabilities, and overcome the complex hardware and software environment of vehicle. AutoSDK is fully open to the outside world, opening a new form of sharing and co-creation with the industry. Continue to explore new business areas of automobile, enabling car factory. In the EHP high-precision map application, intelligent hardware and other fields to find the right way to play, began to systematically build the innovation and professional layout of automotive related fields.
  • Service architecture: Carry out architecture upgrade in system performance, engineering efficiency, service stability and other aspects, laying a solid foundation for the sustainable development of business. At the same time, the shared travel service integrates the travel capacity of all platforms across the country. Based on the location of hundreds of millions of active users and real-time offline big data linkage of traffic, it provides intelligent and optimal national transport capacity scheduling and provides intelligent and convenient travel services for citizens.
  • Map data research and development: to create an online, automated and intelligent map data production platform. Data-driven production management capabilities are beginning to take shape. POI data, centering on the ecological innovation mode, opens up the direct relationship between data and users and businesses, so that POI becomes live data. High-precision map production platform and high-precision acquisition car from zero to one, the scene from high-speed to ordinary road gradually covered, the level of data precision industry highest.
  • Quality: adhering to the quality concept of data-driven and technology-enabled, the company has realized the platformization and automation of most testing work and advanced to intelligence in an all-round way. The company has made breakthroughs in online performance data collection, Metrics monitoring, intelligent indicators, full-link playback and other technologies.

This book as the crystallization of 2019 gold technology, set the all-year important technical articles, a total of 45, covers, front end mobile, automotive engineering, architecture, artificial intelligence, data, quality and technical six chapters about 400 pages, if this book will be of help to you, welcome to share with side interested colleagues, friends, play together, Grow together!

Download address: developer.aliyun.com/article/742…