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诚邀您莅临由盖世汽车主办的第九届智能驾驶大会，本次会议将于 6 月17-18日在上海举办。
当前，自动驾驶技术正步入从示范验证迈向大规模商业应用的关键时期。为应对规模化落地过程中面临的安全、成本与技术架构等核心挑战，2026第九届智能驾驶大会旨在汇聚全球产业领袖、学术专家与创新实践者，共同聚焦技术突破与工程化实践，为行业的高质量与可持续发展探索路径、凝聚共识。
本次大会将设置多个核心议题板块，深度探讨AI大模型驱动下的技术范式革命、舱驾融合与中央计算平台的架构演进、城市NOA的规模化攻坚策略，以及面向高阶智驾的测试验证新体系。届时，将邀请来自小鹏汽车、蔚来、宝马、清华大学、英伟达、禾赛科技等知名企业与机构的专家分享前沿洞察与实践经验。
我们诚挚地邀请您莅临本次行业盛会，共商发展大计，携手推动智能驾驶新时代的到来。
演讲及参展请联系：冯女士 邮箱：conference@gasgoo.com，电话：021-39586681
Welcome to 9th Intelligent Assisted Driving Conference 2026 hosted by Gasgoo . The conference will open in Shanghai on June 17-18th .
Intelligent driving technology is currently at a critical juncture, transitioning from demonstration to large-scale commercial deployment. To address the core challenges of safety, cost, and technical architecture inherent in this scaling process, the 9th Intelligent Driving Forum 2026 will be held in Shanghai in June 2026. This forum is designed to convene global industry leaders, academic experts, and innovative practitioners to focus on technological breakthroughs and engineering practices, exploring pathways and building consensus for the industry's high-quality and sustainable development.
The forum will feature dedicated sessions delving into key areas such as the paradigm shift driven by large AI models, the architectural evolution of cockpit-driver integration and centralized computing platforms, strategies for scaling Urban NOA, and new testing/verification systems for advanced driving. Experts from leading organizations including XPeng Motors, NIO, BMW, Tsinghua University, NVIDIA, and HESAI will share cutting-edge insights and practical experience.
We sincerely invite you to join this pivotal industry gathering to discuss future strategies and collectively advance the new era of intelligent driving.
For speaking and exhibition opportunities, please contact:
Ms. Feng
Email: conference@gasgoo.com
Tel: +86-21-39586681
概要： 探讨以AI大模型为核心的下一代智驾技术，如何从算法和研发范式层面进行根本性重构，为规模化奠定新的技术基础。
Summary: This article explores how next-generation intelligent driving technologies, centered on large AI models, can be fundamentally restructured at the algorithm and R&D paradigm levels to lay a new technological foundation for large-scale deployment.
在AI浪潮中重塑智能驾驶价值链
Reshaping the Intelligent Driving Value Chain Amidst the AI Wave
盖世汽车研究院
Gasgoo Automotive Research Institute
迈向“车端大脑”：端到端自动驾驶大模型的架构演进与实践
Towards the "Vehicle Brain": The Architectural Evolution and Practice of End-to-End Autonomous Driving Large-Scale Models
小鹏汽车
XPeng Motors
生成式AI与神经渲染：重构自动驾驶仿真与数据闭环
Generative AI and Neural Rendering: Reconstructing Autonomous Driving Simulation and Data Closed Loop
商汤科技
SenseTime
数据驱动的革命：面向大模型的自动驾驶研发新范式
A Data-Driven Revolution: A New Paradigm for Autonomous Driving R&D for Large-Scale Models
清华大学车辆与运载学院
Tsinghua University School of Vehicle and Transportation
茶歇与交流
Tea Break & Networking
概要： 探讨为支撑AI大模型与高阶智驾，底层软硬件架构向中央计算演进中的挑战与机遇，为规模化提供工程基石。
Summary: This paper explores the challenges and opportunities in the evolution of underlying software and hardware architecture towards centralized computing to support large-scale AI models and advanced intelligent driving, providing an engineering foundation for large-scale deployment.
中央计算平台架构演进：驱动舱驾融合的硬件基石
Central Computing Platform Architecture Evolution: The Hardware Cornerstone Driving Cockpit-Driven Integration
高性能车规SoC：支撑舱驾一体的算力、生态与量产挑战
High-Performance Automotive-Grade SoC: Supporting the Computing Power, Ecosystem, and Mass Production Challenges of Cockpit-Driven Integration
QNX （演讲人确认中）
车端计算新范式：面向大模型的芯片架构与算力优化
A New Paradigm for Vehicle Computing: Chip Architecture and Computing Power Optimization for Large Models
Cadance（演讲人确认中）
面向服务的中央架构（SOA）与中间件：实现软硬件解耦的关键
Service-Oriented Architecture (SOA) and Middleware: Key to Achieving Software-Hardware Decoupling
中科创达
ThunderSoft
午休&展区参观
Lunch & Exhibition Area Visit
概要： 聚焦城市NOA普及过程中体验、成本、安全的核心矛盾，探讨实现规模化、可信赖落地的综合解决方案。
Summary: This article focuses on the core challenges of experience, cost, and security in the widespread adoption of urban NOA, and explores comprehensive solutions for achieving large-scale and reliable implementation.
定义“好用的智驾”：城市NOA全国通行的用户体验体系
Defining "Useful Intelligent Driving": A Nationwide User Experience System for Urban NOA
蔚来
NIO
高阶智驾的“成本杀手”：国产激光雷达的突围与上车实践
The "Cost Killer" of Advanced Intelligent Driving: The Breakthrough and In-Vehicle Application of Domestic LiDAR
Foretellix（演讲人确认中）
数据驱动的量产智能驾驶：基于“一个飞轮”的大规模落地实践
Data-Driven Mass Production Intelligent Driving: Large-Scale Deployment Practice Based on "One Flywheel"
鑫信腾科技股份有限公司（演讲人确认中）
高精定位的“无图”进化：众源更新与全域感知定位技术
The "Map-Free" Evolution of High-Precision Positioning: Crowdsourced Updates and All-Domain Perception Positioning Technology
高德
Amap
茶歇与交流
Tea Break & Networking
概要： 探讨面向大模型与端到端架构的新型测试验证方法、工具与标准，为智能驾驶的规模化落地构建信任基石。
Summary: This paper explores new testing and verification methods, tools, and standards for large-scale models and end-to-end architectures, building a foundation of trust for the large-scale deployment of intelligent driving.
大模型与端到端系统的测试验证挑战与应对策略
Testing and Verification Challenges and Countermeasures for Large Models and End-to-End Systems
Vector
端到端系统的硬件在环（HIL）仿真测试：新挑战与新方案
Hardware-in-the-Loop (HIL) Simulation Testing of End-to-End Systems: New Challenges and Solutions
dSPACE
整车级验证：从虚拟到物理的完整测试流程
Vehicle-Level Verification: A Complete Testing Process from Virtual to Physical
宝马
BMW
AI驱动的场景生成与自动化测试平台实践
AI-Driven Scene Generation and Automated Testing Platform Practice
IPG Automotive
圆桌论坛：安全的边界：城市NOA规模化，是信任的建立还是风险的开始？
Panel Discussion:The Boundaries of Security: Is the Scaling Up of Urban NOA a Formation of Trust or the Beginning of Risk?
主持人：周晓莺（盖世汽车 CEO）
拟邀企业： 小鹏汽车、华为、比亚迪、Momenta
Invited companies: XPeng Motors, Huawei, BYD, Momenta
从数据到洞察：商用车自动驾驶的场景商业化路径分析
From Data to Insight: Analyzing the Scenario-Based Commercialization Path of CV Autonomous Driving
盖世汽车研究院
Gasgoo Automotive Research Institute
干线物流的“自动驾驶司机”：技术演进与运营实践
The "Autonomous Driver" for Line-Haul Trucking: Technology Evolution and Operational Practice
图森未来
TuSimple
全栈自研的L4级重卡：感知、决策与控制的深度融合
Full-Stack L4 Heavy-Duty Truck: Deep Integration of Perception, Decision-Making and Control
嬴彻科技
Inceptio Technology
港口“巨人”的智慧化变革：无人驾驶集卡集群调度实践
The Intelligent Transformation of Port "Giants": Practice of Cluster Scheduling for Unmanned Container Trucks
主线科技
Trunk.Tech
茶歇与交流
Tea Break & Networking
矿区无人化：自动驾驶矿卡的极限工况挑战与效益提升
Unmanned Mining: The Extreme Working Condition Challenges and Efficiency Gains of Autonomous Mining Trucks
希迪智驾
CIDI
末端物流的“最后一公里”：无人配送车的规模化商用
The "Last Mile" of Terminal Logistics: The Large-Scale Commercialization of Unmanned Delivery Vehicles
白犀牛智达
White Rhino
Robobus的示范运营：从园区接驳到城市微循环
Robobus Demonstration Operation: From Park Shuttles to Urban Micro-Circulation
轻舟智航
QCraft
环卫车辆的“清晨革命”：自动驾驶清扫车的商业化路径
The "Dawn Revolution" of Sanitation Vehicles: The Commercialization Path of Autonomous Sweeping Vehicles
于万智驾
Yuwant Intelligent Driving
午休&展区参观
Lunch & Exhibition Area Visit
面向重卡的长距离感知与预测技术
Long-Range Perception and Prediction Technology for Heavy-Duty Trucks
速腾聚创
RoboSense
商用车专用高精地图：动态更新与场景化要素
Commercial Vehicle-Specific HD Maps: Dynamic Updates and Scenario-Based Elements
百度地图
Baidu Maps
车规级VCU与线控底盘：商用车自动驾驶的执行基石
Automotive-Grade VCU and Wire-Controlled Chassis: The Execution Cornerstone of CV Autonomous Driving
东风汽车技术中心
Dongfeng Motor R&D Center
V2X赋能商用车编队行驶：降本增效与安全提升的双重价值
V2X-Enabled Platooning for Commercial Vehicles: Dual Value of Cost Reduction and Safety Enhancement
中国移动上海产业研究院
CMCC Shanghai Industrial Institute
茶歇与交流
Tea Break & Networking
从运营实践看法规需求：港口自动驾驶的标准落地经验
Regulatory Needs from Operational Practice: Standards Implementation Experience in Port Autonomous Driving
主线科技
Trunk.Tech
矿区运营的规模化挑战与盈利模式验证
Challenges of Scaling Mining Operations and Validation of Profit Models
希迪智驾
CIDI
末端物流无人配送的规模化运营与商业闭环
Large-Scale Operation and Business Closure of Unmanned Terminal Logistics Distribution
白犀牛智达
White Rhino
圆桌论坛：场景的边界：商用车自动驾驶，是快速落地还是长远未来？
Panel Discussion: The Boundary of Scenarios: Is Commercial Vehicle Autonomous Driving a Rapid Landing or a Long-Term Future?
拟邀企业：图森未来、嬴彻科技、主线科技、希迪智驾、盖世汽车研究院
会议结束
在AI浪潮中重塑智能驾驶价值链
Reshaping the Intelligent Driving Value Chain Amidst the AI Wave
盖世汽车研究院
Gasgoo Automotive Research Institute
迈向“车端大脑”：端到端自动驾驶大模型的架构演进与实践
Towards the "Vehicle Brain": The Architectural Evolution and Practice of End-to-End Autonomous Driving Large-Scale Models
小鹏汽车
XPeng Motors
生成式AI与神经渲染：重构自动驾驶仿真与数据闭环
Generative AI and Neural Rendering: Reconstructing Autonomous Driving Simulation and Data Closed Loop
商汤科技
SenseTime
数据驱动的革命：面向大模型的自动驾驶研发新范式
A Data-Driven Revolution: A New Paradigm for Autonomous Driving R&D for Large-Scale Models
清华大学车辆与运载学院
Tsinghua University School of Vehicle and Transportation
茶歇与交流
Tea Break & Networking
中央计算平台架构演进：驱动舱驾融合的硬件基石
Central Computing Platform Architecture Evolution: The Hardware Cornerstone Driving Cockpit-Driven Integration
高性能车规SoC：支撑舱驾一体的算力、生态与量产挑战
High-Performance Automotive-Grade SoC: Supporting the Computing Power, Ecosystem, and Mass Production Challenges of Cockpit-Driven Integration
QNX （演讲人确认中）
车端计算新范式：面向大模型的芯片架构与算力优化
A New Paradigm for Vehicle Computing: Chip Architecture and Computing Power Optimization for Large Models
Cadance（演讲人确认中）
面向服务的中央架构（SOA）与中间件：实现软硬件解耦的关键
Service-Oriented Architecture (SOA) and Middleware: Key to Achieving Software-Hardware Decoupling
中科创达
ThunderSoft
午休&展区参观
Lunch & Exhibition Area Visit
定义“好用的智驾”：城市NOA全国通行的用户体验体系
Defining "Useful Intelligent Driving": A Nationwide User Experience System for Urban NOA
蔚来
NIO
高阶智驾的“成本杀手”：国产激光雷达的突围与上车实践
The "Cost Killer" of Advanced Intelligent Driving: The Breakthrough and In-Vehicle Application of Domestic LiDAR
Foretellix（演讲人确认中）
数据驱动的量产智能驾驶：基于“一个飞轮”的大规模落地实践
Data-Driven Mass Production Intelligent Driving: Large-Scale Deployment Practice Based on "One Flywheel"
鑫信腾科技股份有限公司（演讲人确认中）
高精定位的“无图”进化：众源更新与全域感知定位技术
The "Map-Free" Evolution of High-Precision Positioning: Crowdsourced Updates and All-Domain Perception Positioning Technology
高德
Amap
茶歇与交流
Tea Break & Networking
大模型与端到端系统的测试验证挑战与应对策略
Testing and Verification Challenges and Countermeasures for Large Models and End-to-End Systems
Vector
端到端系统的硬件在环（HIL）仿真测试：新挑战与新方案
Hardware-in-the-Loop (HIL) Simulation Testing of End-to-End Systems: New Challenges and Solutions
dSPACE
整车级验证：从虚拟到物理的完整测试流程
Vehicle-Level Verification: A Complete Testing Process from Virtual to Physical
宝马
BMW
AI驱动的场景生成与自动化测试平台实践
AI-Driven Scene Generation and Automated Testing Platform Practice
IPG Automotive
圆桌论坛：安全的边界：城市NOA规模化，是信任的建立还是风险的开始？
Panel Discussion:The Boundaries of Security: Is the Scaling Up of Urban NOA a Formation of Trust or the Beginning of Risk?
主持人：周晓莺（盖世汽车 CEO）
拟邀企业： 小鹏汽车、华为、比亚迪、Momenta
Invited companies: XPeng Motors, Huawei, BYD, Momenta
从数据到洞察：商用车自动驾驶的场景商业化路径分析
From Data to Insight: Analyzing the Scenario-Based Commercialization Path of CV Autonomous Driving
盖世汽车研究院
Gasgoo Automotive Research Institute
干线物流的“自动驾驶司机”：技术演进与运营实践
The "Autonomous Driver" for Line-Haul Trucking: Technology Evolution and Operational Practice
图森未来
TuSimple
全栈自研的L4级重卡：感知、决策与控制的深度融合
Full-Stack L4 Heavy-Duty Truck: Deep Integration of Perception, Decision-Making and Control
嬴彻科技
Inceptio Technology
港口“巨人”的智慧化变革：无人驾驶集卡集群调度实践
The Intelligent Transformation of Port "Giants": Practice of Cluster Scheduling for Unmanned Container Trucks
主线科技
Trunk.Tech
茶歇与交流
Tea Break & Networking
矿区无人化：自动驾驶矿卡的极限工况挑战与效益提升
Unmanned Mining: The Extreme Working Condition Challenges and Efficiency Gains of Autonomous Mining Trucks
希迪智驾
CIDI
末端物流的“最后一公里”：无人配送车的规模化商用
The "Last Mile" of Terminal Logistics: The Large-Scale Commercialization of Unmanned Delivery Vehicles
白犀牛智达
White Rhino
Robobus的示范运营：从园区接驳到城市微循环
Robobus Demonstration Operation: From Park Shuttles to Urban Micro-Circulation
轻舟智航
QCraft
环卫车辆的“清晨革命”：自动驾驶清扫车的商业化路径
The "Dawn Revolution" of Sanitation Vehicles: The Commercialization Path of Autonomous Sweeping Vehicles
于万智驾
Yuwant Intelligent Driving
午休&展区参观
Lunch & Exhibition Area Visit
面向重卡的长距离感知与预测技术
Long-Range Perception and Prediction Technology for Heavy-Duty Trucks
速腾聚创
RoboSense
商用车专用高精地图：动态更新与场景化要素
Commercial Vehicle-Specific HD Maps: Dynamic Updates and Scenario-Based Elements
百度地图
Baidu Maps
车规级VCU与线控底盘：商用车自动驾驶的执行基石
Automotive-Grade VCU and Wire-Controlled Chassis: The Execution Cornerstone of CV Autonomous Driving
东风汽车技术中心
Dongfeng Motor R&D Center
V2X赋能商用车编队行驶：降本增效与安全提升的双重价值
V2X-Enabled Platooning for Commercial Vehicles: Dual Value of Cost Reduction and Safety Enhancement
中国移动上海产业研究院
CMCC Shanghai Industrial Institute
茶歇与交流
Tea Break & Networking
从运营实践看法规需求：港口自动驾驶的标准落地经验
Regulatory Needs from Operational Practice: Standards Implementation Experience in Port Autonomous Driving
主线科技
Trunk.Tech
矿区运营的规模化挑战与盈利模式验证
Challenges of Scaling Mining Operations and Validation of Profit Models
希迪智驾
CIDI
末端物流无人配送的规模化运营与商业闭环
Large-Scale Operation and Business Closure of Unmanned Terminal Logistics Distribution
白犀牛智达
White Rhino
圆桌论坛：场景的边界：商用车自动驾驶，是快速落地还是长远未来？
Panel Discussion: The Boundary of Scenarios: Is Commercial Vehicle Autonomous Driving a Rapid Landing or a Long-Term Future?
拟邀企业：图森未来、嬴彻科技、主线科技、希迪智驾、盖世汽车研究院
会议结束
