China’s largest search engine company, Baidu on Sunday kicked off its self-driving taxi service—Apollo Go—in the districts of Haidian and Yizhuang, Beijing, moving to make robotaxis a reality as competitors like WeRide, Didi, and AutoX also test fleets on roads.
From October 10 to November 6, passengers can hail a robotaxi for free, which are FAW Hongqi electric vehicle (EV) models, through the Baidu Maps app or Apollo Go standalone app from 10 a.m. to 4 p.m. Currently, the cars can only drive along designated routes; there are 3 pick-up and drop-off spots in Haidian and 11 available in Yizhuang, where Baidu’s biggest autonomous vehicle test ground Apollo Park is based. A security driver still sits in the driver’s seat to monitor the ride but doesn’t intervene.


From October 10 to November 6, passengers can hail a robotaxi for free, which are FAW Hongqi electric vehicle (EV) models, through the Baidu Maps app or Apollo Go standalone app from 10 a.m. to 4 p.m. Currently, the cars can only drive along designated routes; there are 3 pick-up and drop-off spots in Haidian and 11 available in Yizhuang, where Baidu’s biggest autonomous vehicle test ground Apollo Park is based. A security driver still sits in the driver’s seat to monitor the ride but doesn’t intervene.

“The Apollo Go fleet is still expanding and available vehicles are limited. If it takes you a long time to get one, please forgive us,” reads a post about the robotaxis on the Baidu Maps app. On September 10, Baidu allowed people to reserve rides for its robotaxi service in Beijing to test a fleet of 40 vehicles, after registering nearly 519,000 kilometers of road testing in the capital city. The Apollo robotaxi service is also available in Changsha, in Hunan, and Cangzhou, in Hebei. The company last month also showcased its latest 5G-powered remote driving technology at Baidu World 2020, its annual flagship conference. “This means the vehicles can be fully driverless without assistance from an in-vehicle human security driver,” CEO Robin Li said. “Self-driving technology will enter the commercial stage on a large scale in 2025,” he predicted.

With the continuous advancement of autonomous driving products, the requirements for vehicle testing are also constantly changing-there are no more safety drivers on the test vehicle, and the testing process requires a high degree of automation and refinement to ensure that the scene is highly restored to investigate the subtleties of vehicle behavior Change, the closed test requires a highly automated and fully unmanned scenario. 

In the upcoming the 3rd Annual China Autonomous Driving Testing & Validation Innovation Technology Conference" to be held on the 3rd  - 4 th Nov. 2020 . in Shanghai , Mr. Shengxiang Liu the Autonomous Driving Senior Technical Manager of Baidu  will introduce Baidu Apollo’s exploration and new breakthroughs in closed test technology for true unmanned driving, including the testing technologies of how to achieve closed scenario constructing automation, how to achieve 7*24 hours of uninterrupted closed testing, and how to ensure the safety of the testing process without man interference etc.

For more speakers and topics of ACSS2020 please click here to download the Agenda.


Presentation Topic" Driverless Autonomous Vehicle Closed Track- Testing and Validation Technology Development"

SpeakerShengxiang Liu, Autonomous Driving Senior Technical Manager, Baidu 

Mr. Shengxiang Liu is currently the senior technical manager of Baidu's autonomous driving. He is in charge of autonomous driving testing, a member of the Beijing Autonomous Vehicle Road Testing Expert Committee, and a member of the Expert Advisory Committee of China Automotive Quality Technology Alliance. With more than 10 years of experience in the testing industry, Mr. Liu has established the Baidu autonomous driving test team, and also established a "Vertically layered, horizontally divided in stages" test system for autonomous driving based on the principle of "safety first", becoming the first complete and large-scale application and practice of automated driving test systems in the industry, including model-in-the-loop (MIL), software-in-the-loop (SIL), hardware-in-the-loop (HIL), vehicle-in-the-loop (VIL), and road environment-in-the-loop (RIL) testing system

Presentation Topic:Scenario Based Autonomous Driving Function Testing in Multi-HiL Environment"  

For the system verification of modern autonomous driving features and autonomous driving assistance systems, currently dedicated secure test environments on road or additional complex environment simulation tools in the laboratory are needed for real time testing in the vehicle. This paper presents a new approach for AD\ADAS feature verification in a semi-virtual test laboratory environment based on real world driving scenarios. This approach, using a Virtual Test-Bed, allows an early verification of AD\ADAS features in a safe laboratory environment combined with real components or a whole vehicle by using existing testing facilities with a hardware-in-the loop system. The emulation of scenarios based on real vehicle measurement data allows in automatized way during the development an early verification of the system as well as an efficient re-calibration of existing variants based on real world scenarios.


Speaker: Xin GE, Hybrid System & Simulation Engineer, AVL


Presentation Topic: "Analysis of Autonomous Driving Test Policies and Regulations
Autonomous driving road testing is an indispensable part of the development of the autonomous driving industry. Since 2018, local autonomous driving road test rules have been issued one after another. Some cities have even opened up more scenarios such as manned and loaded testing. These road tests While encouraging technological innovation, the rules also regulate autonomous driving road testing activities. This report provides an in-depth analysis of the policies and regulations of autonomous driving testing around the system and logic of autonomous driving road testing, specific regulations and policy requirements, and analysis of test vehicle traffic accidents.

Speaker He Shanshan is currently the Director of the Autonomous Driving Law Center of Intelligent Connected Vehicle Research Institute; the Head of the automobile and artificial intelligence business of Beijing Anli Partners; a member of the Autonomous Driving Law and Policy Expert Committee of the Ministry of Transport, and a member of the Beijing Autonomous Driving Expert Committee. 


Presentation Topic:V2X Test Technology Solution

V2X is an important technical component of intelligent networked vehicles, which can realize low latency, large bandwidth, and highly reliable information sharing of vehicles, vehicles, roads, and vehicles. This report focuses on the testing requirements of V2X technology, testing technology, testing software and hardware solutions, and the introduction of the test scenario library from the shallower to the deeper. The content covers the automated test tools, the generation and management of test scenarios, and large-scale testing.

Speaker: Wang Jian, professor of the School of Computer Science of Jilin University


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Presentation Topic: ""Scenarios and simulation standards help the application of autonomous driving"

Speaker: Zhao Shuai,Director of Intelligent Network Data Department of China Automotive Data Co., Ltd. Expert in international coordination of automobile standards and regulations, support expert of ISO Autonomous Driving Test Scenario Working Group, member of C-ASAM Steering Committee Management Committee, member of Intelligent Driving Subcommittee of Society of Artificial Intelligence. Mainly engaged in smart car driving scene data research and simulation technology research. In 2019, the China Automobile Center and the German Automation and Measurement System Standards Association (ASAM) will be promoted to jointly form the C-ASAM organization to undertake the formulation and revision of ASAM standards, and to carry out the localized application of international standards for autonomous driving simulation and simulation such as OpenScenario in China.


Presentation Topic:"Autonomous driving test technology based on Scenario library

Compared with traditional automobile testing,
utonomous vehicle testing has great changes in
test evaluation content, test evaluation conditions,
and test evaluation tool chain. Large-scale and
diversified traffic scenario will become the core
element of the automated driving test process,
and the automated driving scenario library is
based on the massive collection of original
scenario data, including scenario extraction/processing, 
scenario classification/statistics, batch testing A complete evaluation system with multiple technical steps such as use case generation, key scenario search, digital twins, and multi-directional evaluation of test results. This report will focus on the autonomous driving scenario library and discuss some key technical steps in its construction process.

Speaker: Liao Zeguang, Project Manager of Scenario Test Group of Intelligent Networking Center, Suzhou Automotive Research Institute, Tsinghua University 


Presentation Topic: "Autonomous Driving Simulation Test Technology for Massive Scenarios"

Speaker: Zhijian XU, Director, Autonomous Driivng Project, Tencent

Mr. Xu focus on the automotive simulation industry for a long time, have an insight into the development trend of the industry,being committed to industrial ecological cooperation and commercial application, build Tencent automatic driving cloud simulation test platform TAD Sim from 0 to 1



For more speakers and topics of CADT 2020 please click here to download the Agenda. 

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The organizing committee are looking forward to meet you in Beijing in May soon !



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