01 论坛时间地点

时间（Time）：2023-06-16 14：00~17：00

地点（Room）：会议厅1-6（Room 1-6）

02 论坛主题

车路协同 自动驾驶 数字化

03 论坛组织

主办单位：

交通运输部公路科学研究院

协办单位：

公路绿色建造与交通安全国际科技合作基地

运输车辆运行安全技术交通运输行业重点实验室

04 论坛主持人

周炜 交通运输部公路科学研究院汽车运输研究中心主任

05 论坛议程

14：00

自动驾驶汽车运输服务的思考与探索

报告人：周炜 交通运输部公路科学研究院汽车运输研究中心主任

14：30

自主创新，驶入中国自动驾驶 “无人之境”

报告人：吴琼 百度自动驾驶安全与政策首席专家

15：00

车路协同自动驾驶干线物流应用实践

报告人：崔迪潇 智加科技中国首席科学家

15：30

茶歇

16：00

城市场景自动配送的技术挑战和落地之路

报告人：穆北鹏 美团自动车配送部高精地图和定位负责人

16：30

公路设施数字化与车路云一体化的趋势和发展

报告人：邓志伟 蘑菇车联副总裁

06 专家介绍

周玮  Zhou Wei

交通运输部公路科学研究院汽车运输研究中心主任

Director of Automobile Transport Research Center of Research Institute of Highway Ministry of Transport

专家简介（Introduction）

周炜，博士，研究员，俄罗斯工程院外籍院士，交通运输行业“运输车辆运行安全技术”重点实验室主任，交通运输行业重点领域“道路运输安全与应急救援技术创新团队”带头人。交通运输部专家委员会委员，国家安全生产专家组成员，国家安全生产应急专家组成员，特别重大道路交通事故国务院调查组成员。主要从事交通运输领域“智能安全、运行保障、车辆性能、车路协同、应急处置及救援”等方面技术研究。

Dr. Zhou Wei is a professor, Foreign Members of the Russian Academy of Engineering, director of Transportation Industry Key Laboratory of Transportation Vehicle Operation Safety Technology, and the leader of "Road Transportation Safety and Emergency Rescue Technology Innovation Team" in key field of transportation industry. He is also a member of the Expert Committee of the Ministry of Transport, the State Expert Group on work safety, the State Expert Group on Emergency response to work safety, The State Council investigation group on especially serious road traffic accidents. His research interests include intelligent safety, operation support, vehicle performance, vehicle-road cooperation, emergency response and rescue in the field of transportation.

报告题目（Report）

自动驾驶汽车运输服务的思考与探索

Consideration and Exploration for Transport Services of Autonomous Vehicle

报告精华（Report Summary）

交通运输行业重点关注自动驾驶汽车如何使用，报告讨论了车辆技术条件、车辆使用条件、从业人员条件、企业管理条件、行业监管条件等自动驾驶汽车应用的五大保障条件，合法合规、用好用足目前的自动驾驶汽车技术，推动行业可持续发展。

Transportation industry focus on how to use the autonomous vehicle. This report discusses five specifications on the application of autonomous vehicle, including the specification for autonomous vehicles, the specification for autonomous vehicles application, the specification for the employees, the specification for the enterprise management and the specification for the industry supervision and administration. The above five specifications are used to ensure the current autonomous driving technology legal and compliant, make full use of the current autonomous driving technology and promote the transportation industry sustainable development.

吴琼  Wu Qiong

百度自动驾驶安全与政策首席专家

Baidu Chief Expert on Autonomous Driving Safety and Policy

专家简介（Introduction）

致力于车路云网图在开放环境下智能化和安全性的综合评测与管理体系研究，对科学、有效、量化的评估方法及与管理服务体系有着丰富经验。担任全国专业标准化技术委员会、中国公路学会自动驾驶工作委员会 、中国人工智能学会智能驾驶专业委员会、中国通信学会车联网委员会等多个专业委员会委员。参与了数十项国家、地方、行业标准研制工作；支持部委及多省市出台系列智能网联汽车道路测试与示范政策，推进产业落地。

Wu Qiong has committed to the intelligent and security comprehensive evaluation and management system research of vehicle-road-cloud-network-map integrated in an open environment, has rich experience in scientific, effective and quantitative evaluation methods and management service system. She serves as a key expert member of multiple professional committees such as the National Technical Committee of Professional Standardization, the Autonomous Driving Working Committee of the China Highway and Transportation Society, the Intelligent Driving Professional Committee of the Chinese Association for Artificial Intelligence, and the Vehicle Networking Committee of the China Institute of Communications.

报告题目（Report）

自主创新，驶入中国自动驾驶 “无人之境”

Independent Innovation, Driving into the China's Autonomous Driving "Unmanned Zone"

报告精华（Report Summary）

作为全球领先的自动驾驶企业，百度拥有车路云图全栈技术，测试示范里程超过5000万公里，服务用户超过200万次，成为全球最大的自动驾驶出行服务平台。百度持续突破混合交通流下的自动驾驶技术，率先在国内多个城市开展了车内无驾驶人的L4级自动驾驶实践。本次报告将分享百度在L4自动驾驶技术及运行实践的最新进展，讨论自动驾驶发展之路。

Baidu, as a world's leading autonomous driving company, has developed the full-stack technology of vehicle-road-cloud-network-map integration. With a testing and demonstration mileage of more than 50 million kilometers and more than 2 million service trips for users, Baidu has been the world's largest and most active autonomous driving travel service provider. Baidu continues to make breakthroughs in autonomous driving technology under mixed traffic flow, and has taken the lead in carrying out L4 autonomous driving practices without a safety driver in the vehicles in multiple cities in China. This report will share Baidu's latest progress in L4 autonomous driving technology and operation practices, and discuss the development path of autonomous driving.

崔迪潇  Cui Dixiao

智加科技中国首席科学家

Chief Scientist of Plus China

专家简介（Introduction）

崔迪潇，智加科技中国首席科学家。西安交通大学控制科学与工程专业博士，帕尔马大学VisLab实验室联合培养博士。国内较早一批的自动驾驶科研工作者，超十年自动驾驶一线研究和产业落地经历。现兼任中国人工智能学会、中国自动化学会、中国公路学会相关专委会委员。获江苏省双创人才、双创博士、苏州市劳模等称号。

Dr. Cui Dixiao is chief Scientist of Plus China. He holds a Ph.D. in Control Science and Engineering from Xi'an Jiaotong University and a joint training Ph. D from VisLab University of Parma in Italy. Dr. Cui has more than 10 years of experience in autonomous driving. He is also a member of the Chinese Association of Artificial Intelligence, the Chinese Association of Automation, the China Highway and Transportation Society and other committees.

报告题目（Report）

车路协同自动驾驶干线物流应用实践

The Application of Connected Vehicles and Autonomous Driving in Long-Haul Trucking

报告精华（Report Summary）

作为全球领先的干线物流自动驾驶企业，智加拥有自研的L4级自动驾驶全栈技术，并采用渐进式的自动驾驶商业化路线。智加完成了世界首次高速公路完全无人驾驶重卡测试，以及中国首次收费站到收费站的自动驾驶重卡试运营；智加已率先实现有人监督的“PlusDrive”系统的量产，并与物流领先企业进行商业化合作。本次报告将分享智加在L4技术研发和L4“降维”量产的最新进展，并结合真实物流场景探讨车路协同技术应用和前景。

As a global leader in autonomous driving for long-haul trucking, Plus has developed independently full-stack “Level 4” autonomous driving technology，and takes an evolutionary path to commercialization of autonomous driving. Plus conducted the world's first fully driverless trucking test on highway, and the first autonomous driving trial transportation between toll booths. Meanwhile, Plus took the lead in the SOP of supervised autonomous driving system, which is named “PlusDrive”. Plus is also commercially cooperating with leading logistics companies. In the presentation, the latest progress of Plus in L4 technology development and its “dimensionality-reductive” mass production will be shared，along with considerations on the application and prospect of connected vehicles in terms of real-world logistics scenarios.

穆北鹏  Mu Beipeng

美团自动车配送部高精地图和定位负责人

Head of Mapping and Localization at Meituan's Autonomous Delivery Department

专家简介（Introduction）

穆北鹏于清华大学取得学士学位，麻省理工学院取得硕士和博士学位，入选国家高层次青年人才计划。在Meta Reality Lab的livemap组担任研发科学家参与建设了AR原型机开发和动态活地图，在Momenta担任研发总监主导研发和量产高精地图建图技术、后装ADAS技术等。在SLAM、3D视觉、多传感器融、AR、自动驾驶等技术方向有深入研究。在IROS、RSS、TRO等发表论文20余篇、专利数十篇。

Beipeng Mu obtained her bachlors' degree from Tsinghua University, and PhD from Massachusetts Institute of Technology. She has worked at Meta as a research scientist, and Momenta as senior R&D director. She is the head of mapping and localization at Meituan's autonomous delivery department. Her expertise is on mapping and localization algorithms, sensor fusion and machine learning, especially with application on autonomous driving and AR/VR.

报告题目（Report）

城市场景自动配送的技术挑战和落地之路

How Autonomous Driving Applies to Last Mile Delivery

报告精华（Report Summary）

自动驾驶技术在城市场景中的落地应用是美团实践零售+科技战略的重要组成部分。此演讲针对L4自动驾驶在城市配送场景，讨论自动驾驶+云控相结合进行业务落地的方案。为了满足配送时效性和低成本的目标，定义了车人比（vehicle human radio）来考量自动驾驶技术的成熟程度。基础设施、建图和定位、感知和预测、控制和规划如何能够根据各自不同特点来围绕目标进行技术迭代。

Meituan is a company based in Beijing that provides delivery services, and has become one of the most valuable publicly-traded companies in recent years. In this talk, I will introduce how we think autonomous driving can help last mile delivery. I will talk about the challenges we face in L4 driving in urban areas, the technology stack, and how we might tackle them.

邓志伟  Deng Zhiwei

蘑菇车联副总裁

Vice President of Mogo.Ai

专家简介（Introduction）

本科及硕士均毕业于清华大学汽车工程专业，曾就职于华为、爱奇艺等，20余年硬件芯片与操作系统研发经验，在操作系统、汽车电子、智能终端等方面有丰富经验。

Deng Zhiwei was graduated from the department of automotive engineering, Tsinghua University with both bachelor and master degree. He previously worked for Huawei and iQiyi with more than 20 years' research and development work experiences in fields of hardware, chips and operating system, and has accumulated abundant experiences in operating system, automobile electronics and smart terminals.

报告题目（Report）

公路设施数字化与车路云一体化的趋势和发展

Trends and Development of Highway Digitization and "Vehicle-Road-Cloud Integrated System"

报告精华（Report Summary）

作为“车路云一体化”自动驾驶解决方案与运营服务提供商，本次报告重点阐释了“车路云一体化”在支持自动驾驶大规模商业化落地方面的政策环境、行业现状和经典案例。报告还分析了“车路云一体化”对实现城市经济效益、社会效益和安全效益的推动作用，并提供了当前典型城市在此理念下的实践应用案例，强调公路设施数字化对于自动驾驶发展的重要性。

As a leading provider of "Vehicle-Road-Cloud Integrated System" autonomous driving solutions and operation services, this report focuses on explaining the policy environment, industry status, and classic cases of "Vehicle-Road-Cloud Integrated System" in supporting the large-scale commercialization of autonomous driving. The report also analyzes the role of "Vehicle-Road-Cloud Integrated System" in promoting economic, social, and safety benefits for cities, and provides practical application cases from typical cities under this concept, highlighting the importance of highway digitization in the development of autonomous driving.

2023世界交通运输大会（WTC2023）将于6月14日~17日在武汉举办，您可以通过以下任意一种方式进行注册参会：

＊登录大会官网www.wtc-conference.com，点击“我要参会”进行注册或登录；

＊扫描下方大会手机端二维码，点击“参会观展注册”进行注册或登录。

WTC2023｜手机端二维码