On December 29, Baidu Create 2021 (Baidu AI Developer Conference) autonomous driving sub-forum "Co-creating Automotive Robot Connection Technology and Scenarios" was held in the "Xirang" APP. At the forum, Baidu Apollo autonomous driving open platform Apollo 7.0 version was officially released and showed the outside world the layout of the Apollo X plan in the diverse automotive robot ecosystem.
The autonomous driving open platform serves as an important support for the implementation of Baidu’s diverse automotive robots. The Apollo 7.0 released in this upgrade has realized the transformation from code to tools, from open source platform to tooling A milestone in the complete evolution of the platform. Based on the four major open source platforms of cloud services, open source software, hardware development, and vehicle certification, Apollo 7.0 provides a series of upgrades including the one-stop practical cloud platform Apollo Studio, industry-leading simulation services, and efficient new models. Not only does the code It is fully capable and open, and can also provide a full-stack tool chain for autonomous driving, making it easier to use, more advanced, and more efficient to help developers use platform capabilities.
At the cloud service platform level, Apollo 7.0 has officially upgraded the "data pipeline" service popular among developers in version 6.0 to Apollo Studio, covering developers from getting started on the computer to The full-process cloud tool chain for on-board practice provides developers with a one-stop practice platform experience. At the simulation platform level, Apollo 7.0 launches the industry's first PnC reinforcement learning model training and simulation evaluation platform. It has multiple advantages such as real data, powerful functions, comprehensive evaluation standards, and scalable architecture. It is expected to provide a unified verification standard for reinforcement learning research. At the open source software platform level, Apollo 7.0 upgrades the perception and prediction algorithm modules and introduces three deep learning-based models: MaskPillars, SMOKE, and Inter-TNT, which effectively reduce problems such as missed detections and jitter.
At present, Baidu Apollo autonomous driving open platform has completed 11 version iterations. It has more than 80,000 developers in 135 countries around the world, more than 210 partners, and a total of 700,000 lines of open source code. It has grown to The world's most active open platform for autonomous driving.
Apollo 7.0 not only empowers developers, but also further expands the ability of automotive robots to connect technologies and scenarios. By cooperating with industries and empowering industries, Baidu Apollo and multiple ecological partners jointly create "car robots" that run through passenger transportation, freight, life services and other fields, and are fully implemented in passenger cars, buses, trunk logistics, warehousing and distribution, and mining. Segmented scenarios such as port operations. At the metaverse "site" of the autonomous driving sub-forum, Baidu's Apollo bus robot, DeepWay trunk logistics vehicle robot, Huaneng Yimin self-driving mining truck robot, and Neolithic retail vehicle robot made a collective appearance.
AsChina's first intelligent solution to achieve full coverage of vehicle-road cloud in the mining field, Baidu Apollo mining special operation vehicle robot has fully autonomous driving capabilities and can achieve accurate location and operation status information through vehicle-road collaboration solution. It will continue to evolve in the future. , supports full-process operations across work surfaces; the trunk logistics vehicle robot Deepway is driven by data and self-learning, allowing rapid iteration of autonomous driving capabilities in high-speed heavy truck scenarios. Deepway expects to invest 1,000 heavy trucks in 2023, making Deepway a veteran AI driver in the field of trunk logistics.
In addition, Baidu Apollo also shared with developers the rich resources and latest progress of the Apollo EDU autonomous driving education talent plan, and announced plans to empower tens of millions of people in the next three years. Universities and enterprises have the goal of cultivating millions of autonomous driving engineering talents, comprehensively covering application and research talents, so that autonomous driving can truly empower all walks of life and promote the continued prosperity and development of the autonomous driving industry.
Editor: Du Yu