中國汽車多模態互動發展（2025）

一、多模態互動的閉環演進：L1-L4智慧座艙的逐步演進

根據中國汽車工程師學會（China-SAE）共同發布的 "汽車智慧座艙等級及綜合評估白皮書" ，智慧座艙定義為L0至L4五個等級。

多模態互動功能是座艙智慧的關鍵組成部分，它結合了大規模人工智慧模型和多種硬體元件，實現了多來源互動資料的融合與處理。這使得系統能夠準確地理解駕駛和乘客的意圖，提供場景特定的回饋，最終實現自然、安全、個人化的人機互動。目前，汽車智慧座艙產業大多處於L2等級，一些領先廠商正在探索向L3等級的過渡。

L2智慧座艙的核心特徵是 "強感知，弱認知" 。在L2階段，座艙的多模態互動能力實現了訊號級融合。基於多模態大規模建模技術，它能夠“理解用戶的模糊意圖”和​​“同時處理多個指令”，從而能夠立即明確地執行用戶的指令。目前大多數量產智慧座艙都具備此功能。

L3智慧座艙的核心特徵是 "強感知，強認知" 。在L3階段，座艙的多模態互動能力實現了認知級融合。基於大規模建模能力，座艙系統能夠全面理解當前情況，並在使用者無需發出明確指令的情況下主動提供相應的服務和建議。

L4智慧座艙的核心特徵是“全局認知與自主演化”，為使用者打造“全域智慧管理器”。在L4階段，智慧座艙的用途遠不止於簡單的工具。它成為“數位孿生夥伴”，能夠預測使用者未表達的需求，擁有共享記憶，並為使用者調動所有資源。其核心體驗在於，系統甚至在使用者明確意識到或表達需求之前，就已經完成預測和規劃，並進入執行狀態。

二、多模態AI代理：理解請求與預測想法

隨著智慧座艙從L2演進到L4，AI代理被視為實現特定功能的核心執行單元和關鍵技術架構。 透過整合音訊、視覺、觸覺和上下文訊息，人工智慧代理不僅能夠 "理解" 指令，還能 "視覺化" 環境並 "感知" 狀況，從而將傳統上分散的駕駛艙功能整合到一個連貫、主動且個性化的服務流程中。

在L2層使用代理被視為“增強指令執行”，最終擴展了L2駕駛艙的交互能力。基於大規模模型技術，駕駛艙系統將複雜的使用者指令分解為多個步驟，並透過順序呼叫不同的代理工具來執行這些步驟。

目前，代理的主要目的是回應和執行明確且複雜的使用者指令。駕駛艙系統並非 "主動" 執行任務；它們只是 "更聰明地完成使用者指派的任務" 。

本報告調查並分析了中國汽車產業，提供了有關汽車駕駛艙內安裝的交互模式數量、多模式交互相關專利以及汽車製造商和供應商提供的駕駛艙交互解決方案的資訊。

目錄

前言

相關定義

第一章 汽車座艙多模態互動概述

• 智慧座艙的發展階段
• 多模態交互作用的定義
• 多模態互動開發體系
• 核心交互模態技術簡介（一）：觸覺交互
• 核心交互模態技術簡介（二）：聽覺交互
• 核心交互模態技術簡介（三）：視覺交互
• 核心交互模態技術簡介（四）：嗅覺交互
• 智慧座艙大規模模型的應用場景
• 基於多模態人工智慧大規模模型的車人互動功能
• 多模態互動產業鏈
• 多模態人工智慧大規模模式產業鍊式
• 多模態互動的政策環境
• 將互動模式整合到駕駛艙中

第二章 汽車多模態互動相關專利概述

• 觸覺互動相關專利概述
• 聽覺互動相關專利概述
• 視覺互動相關專利概述
• 嗅覺互動相關專利概述

第三章 OEM 多模態互動駕駛艙解決方案

• 比亞迪
• 上汽英豪
• 一汽紅旗
• 吉利
• 長城汽車
• 奇瑞
• 長安
• 沃亞
• 力車
• 蔚來汽車
• 躍躍欲試
• 小鵬汽車
• 小米
• BMW

第四章：供應商的多模式座艙解決方案

• 德賽科技
• 均勝電子
• 商湯科技
• 科大訊飛
• 雷霆科技
• 華為
• 百度
• 半馬智行

第五章：多模式互動解決方案在典型車型中的應用實例

• 多模式互動解決方案在典型車型中的應用實例總結（一）
• 多模式互動解決方案在典型車型中的應用實例總結（二）
• 多模式互動解決方案在典型車型中的應用實例總結（三）多模態互動解決方案在典型車型中的應用實例（4）
• 多模態互動解決方案在典型車型中的應用實例總結（5）
• 全新IM L6：多模態交互特徵概述
• 全新IM L6：顯著模態交互作用特性分析
• 方城寶8：多模態交互特徵概述
• 方城寶8：特色模態互動特徵分析
• 紅旗金奎化國亞：多模態互動特徵概述
• 紅旗金奎化國亞：特色模態互動特質分析（1）
• 紅旗金奎化國亞：特色模態互動特質分析（2）
• 紅旗金奎化國亞：特色模態互動特質分析（3）
• 電馳N9：多模態交互特徵概述
• 電馳N9：特色模態互動特徵分析互動特性（1）
• Denza N9：特色模態交互特性分析（2）
• Zeekr 9X：多模態互動特性概覽
• Zeekr 9X：特色模態互動特性分析
• 吉利 Galaxy A7：多模態互動特性概覽
• Leapmotor B10：多模態互動特性概覽
• Li i6：多模態互動特性概覽
• Li i6：特色模態交互特性分析（1）
• Li i6：特色模態互動特性分析（2）
• 小鵬 G7：多模態互動特性概覽
• 小鵬 G7：特色模態互動特性分析
• 小米 YU7：多模態互動特性概覽
• 小米 YU7：特色模態互動特性分析
• MAEXTRO S800：概覽多模態互動特性概述
• MAEXTRO S800：特色模態互動特性分析（1）
• MAEXTRO S800：特色模態互動特性分析（2）
• MAEXTRO S800：特色模態互動特性分析（3）
• 2025 AITO M9：多模態交互特性概述
• 2025 AITO M9：特色模態互動特性分析（1）
• 2025 AITO M9：特色模態互動特性分析（2）
• 2025 AITO M9：特色模態互動特性分析（3）
• 2025 AITO M9：特色模態互動特性分析（4）
• 全新 BMW X3 M50：多模態互動特性概述
• 全新 BMW X3 M50：特色模態互動特性分析
• 2026 AudiE5 Sportback：多模態互動功能概述
• 2026款AudiE5 Sportback：特色模態互動功能分析（1）
• 2026款AudiE5 Sportback：特色模態互動功能分析（2）
• 全新梅賽德斯-奔馳CLA電動版：多模態互動功能概述
• 全新梅賽德斯-賓士CLA電動版：特色模態互動功能分析

第六章：多模態交互作用的總結與發展趨勢

• OEM 大規模模型配置參數總結
• 趨勢一：基於 AI 大規模模型的多模態交互演進
• 趨勢二
• 趨勢三（語音互動）
• 趨勢四（視覺互動）

Research on Automotive Multimodal Interaction: The Interaction Evolution of L1~L4 Cockpits

ResearchInChina has released the "China Automotive Multimodal Interaction Development Research Report, 2025". This report comprehensively sorts out the installation of Interaction Modalities in automotive cockpits, multimodal interaction patents, mainstream cockpit interaction modes, application of interaction modes in key vehicle models launched in 2025, cockpit interaction solutions of automakers/suppliers, and integration trends of multimodal interaction.

I. Closed-Loop Evolution of Multimodal Interaction: Progressive Evolution of L1~L4 Intelligent Cockpits

According to the "White Paper on Automotive Intelligent Cockpit Levels and Comprehensive Evaluation" jointly released by the China Society of Automotive Engineers (China-SAE), five levels of intelligent cockpits are defined: L0-L4.

As a key driver for cockpit intelligence, multimodal interaction capability relies on the collaboration of AI large models and multiple hardware to achieve the fusion processing of multi-source interaction data. On this basis, it accurately understands the intentions of drivers and passengers and provides scenario-based feedback, ultimately achieving natural, safe, and personalized human-machine interaction. Currently, the automotive intelligent cockpit industry is generally in the L2 stage, with some leading manufacturers exploring and moving towards the L3.

The core feature of L2 intelligent cockpits is "strong perception, weak cognition". In the L2 stage, the multimodal interaction function of cockpits achieves signal-level fusion. Based on multimodal large model technology, it can "understand users' ambiguous intentions" and "simultaneously process multiple commands" to execute users' immediate and explicit commands. At present, most mass-produced intelligent cockpits can enable this.

In the case of Li i6, it is equipped with MindGPT-4o, the latest multimodal model which boasts understanding and response capabilities with ultra-long memory and ultra-low latency, and features more natural language generation. It supports multimodal "see and speak" (voice + vision fusion search: allowing illiterate children to select the cartoons they want to watch by describing the content on the video cover); multimodal referential interaction (voice + gesture: 1. Voice reference to objects: while issuing commands, extend the index finger: pointing left can control the window and complete vehicle control. 2. Voice reference to personnel: passengers in the same row can achieve voice control over designated personnel through gesture and voice coordination, e.g., pointing right and saying "Turn on the seat heating for him").

The core feature of L3 intelligent cockpits is "strong perception, strong cognition". In the L3 stage, the multimodal interaction function of cockpits achieves cognitive-level fusion. Relying on large model capabilities, the cockpit system can comprehensively understand the complete current scenario and actively initiate reasonable services or suggestions without the user issuing explicit commands.

The core feature of L4 intelligent cockpits is "full-domain cognition and autonomous evolution", creating a "full-domain intelligent manager" for users. In the L4 stage, the application of intelligent cockpits will go far beyond the tool attribute and become a "digital twin partner" that can predict users' unspoken needs, have shared memories, and dispatch all resources for users. Its core experience is: before the user clearly perceives or expresses the need, the system has completed prediction and planning and entered the execution state.

II. Multimodal AI Agent: Understand What You Need and Predict What You Think

AI Agent can be regarded as the core execution unit and key technical architecture for the specific implementation of functions in the evolution of intelligent cockpits from L2 to L4. By integrating voice, vision, touch and situational information, AI Agent can not only "understand" commands, but also "see" the environment and "perceive" the state, thereby integrating the original discrete cockpit functions into a coherent, active and personalized service process.

Agent applications under L2 can be regarded as "enhanced command execution", which is the ultimate extension of L2 cockpit interaction capabilities. Based on large model technology, the cockpit system decomposes a user's complex command into multiple steps and then calls different Agent tools to execute them. For example, a passenger says: "I'm tired, help me buy a cup of coffee." The large model of the L2 cockpit system will understand this complex command and then call in sequence:

1.Voice Agent: Parse user needs in real time;

2.Food Ordering Agent: Recommend the best options according to user preferences, real-time location, and restaurant business status;

3.Payment Agent: Automatically complete unconscious payment;

4.Delivery Agent: Dynamically plan the food delivery time combined with vehicle navigation data (e.g., "food arrives when the car arrives", ensuring that the food is delivered synchronously when the user reaches the destination).

Currently, Agent applications are essentially responses and executions to a user's explicit and complex commands. The cockpit system does not do anything "actively", and it just "completes the tasks assigned by the user" more intelligently.

Case (1): IM Motors released the "IM AIOS Ecological Cockpit" jointly developed with Banma Zhixing. This cockpit is the first to implement Alibaba's ecosystem services in the form of AI Agent, creating a "No Touch & No App" human-vehicle interaction mode. The "AI Food Ordering Agent" and "AI Ticketing Agent" functions launched by the IM AIOS Ecological Cockpit allow users to complete food selection/ticketing and payment only through voice interaction without needing manual operation.

Case (2): On August 4, 2025, Denza officially launched the "Car Life Agent" intelligent service system at its brand press conference, which is first equipped on two flagship models, Denza Z9 and Z9GT. The "Car Life Agent" supports voice food ordering and enables payment by face with face recognition technology. After completing the order, the system will automatically plan the navigation route, forming a seamless experience of "demand-service-closed loop".

In the next level of intelligent cockpits, Agent applications will change from "you say, I do" to "I watch, I guess, I suggest, let's do it together". Users do not need to issue any explicit commands. They just sigh and rub their temples, and the system can comprehensively judge data from "camera" (tired micro-expressions), "biological sensors" (heart rate changes), "navigation data" (continuous driving for 2 hours), and "time" (3 pm (afternoon sleepiness period)) via the large model to know that "the user is in the tired period of long-distance driving and has the need to rest and refresh". Based on this, the system will take the initiative to initiate interaction: "You seem to need a rest. There is a service zone* kilometers ahead with your favorite ** coffee. Do you need me to turn on the navigation? At the same time, I can play refreshing music for you." After the user agrees, the system then calls navigation, entertainment and other Agent tools.

Table of Contents

Foreword

Related Definitions

1 Overview of Multimodal Interaction in Automotive Cockpits

• 1.1 Development Stages of Intelligent Cockpits
• 1.2 Definition of Multimodal Interaction
• 1.3 Development System of Multimodal Interaction
• 1.4 Introduction to Core Interaction Modality Technologies (1): Haptic Interaction
• Mainstream Contact Haptic Vibration Feedback Technology
• Core Application Scenarios of Haptic Interaction
• 1.4 Introduction to Core Interaction Modality Technologies (2): Auditory Interaction
• Core Application Scenarios of Voice Interaction
• Voice Interaction - Voiceprint Recognition
• 1.4 Introduction to Core Interaction Modality Technologies (3): Visual Interaction
• Visual Interaction: Face Recognition Technology Roadmap
• Visual Interaction: DMS Technology Roadmap
• Visual Interaction: Gesture Recognition Technology Roadmap
• 1.4 Introduction to Core Interaction Modality Technologies (4): Olfactory Interaction
• 1.5 Application Scenarios of Large Models in Intelligent Cockpits
• 1.6 Vehicle-Human Interaction Functions Based on Multimodal AI Large Models
• 1.7 Industry Chain of Multimodal Interaction
• 1.8 Industry Chain of Multimodal AI Large Models
• 1.9 Policy Environment for Multimodal Interaction
• Summary of Regulations Concerning Network Data Security of Intelligent Connected Vehicles
• Laws and Regulations on Multimodal Interaction (1): Data Security Law
• Laws and Regulations on Multimodal Interaction (2): Several Provisions on the Administration of Automobile Data Security
• Laws and Regulations on Multimodal Interaction (3): Measures for Security Assessment of Data Outbound Transfer
• Latest Mandatory National Standards for Multimodal Interaction
• 1.10 Installation of Interaction Modalities in Cockpits
• Installations & Installation Rate of In-vehicle Voice Recognition, 2025
• Installations & Installation Rate of Vehicle External Voice Interaction, 2025
• Installations & Installation Rate of In-vehicle Gesture Recognition, 2025
• Installations & Installation Rate of Voice + Gesture Fusion Interaction, 2025 Interaction, 2025
• Installations & Installation Rate of In-vehicle Biometric Recognition, 2025
• Installations & Installation Rate of In-vehicle DMS, 2025
• Installations & Installation Rate of In-vehicle OMS, 2025

2 Summary of Patents Related to Automotive Multimodal Interaction

• 2.1 Summary of Patents Related to Haptic Interaction
• Cockpit Haptic Interaction Patents
• 2.2 Summary of Patents Related to Auditory Interaction
• Summary of Automotive Voice Interaction Patents (1): Automakers
• Summary of Automotive Voice Interaction Patents (2): Suppliers
• Summary of Automotive Voice Interaction Patents (3): Universities/Research Institutions
• 2.3 Summary of Patents Related to Visual Interaction
• Patents Related to Gesture Recognition
• Patents Related to Emotion Recognition
• Patents Related to In-Cabin Monitoring (1): IMS (In-Cabin monitoring System)
• Patents Related to In-Cabin Monitoring (2): DMS (Driver Monitoring System)
• Patents Related to In-Cabin Monitoring (3): OMS (Occupant Monitoring System)
• In-Cabin Eye Tracking & Payment by Face
• 2.4 Summary of Patents Related to Olfactory Interaction
• Summary of Patents Related to In-vehicle Fragrance System
• 2.5 Summary of Patents Related to Other Featured Interaction Modalities
• Patents Related to Fingerprint Recognition
• Patents Related to Heart Rate Recognition
• Patents Related to Iris Recognition
• Patents Related to Bioelectromyography Recognition

3 Multimodal Interaction Cockpit Solutions of OEMs

• 3.1 BYD
• HMI Functions of BYD's Previous-Generation Intelligent Cockpit Systems
• BYD's New-Generation DiLink Intelligent Cockpit
• Featured Multimodal Interaction Applications of BYD DiLink Intelligent Cockpit
• BYD Integrates DeepSeek R1 & Tongyi Series Large Models to Enhance Interaction Capabilities
• BYD Launches Car Life Agent, Supporting Voice Ordering + Payment by Face
• Summary of BYD's Interaction Modality OTA Content in Recent Years
• Summary of Denza's Interaction Modality OTA Content in Recent Years
• Summary of Fangchengbao's Interaction Modality OTA Content in Recent Years
• Summary of Yangwang's Interaction Modality OTA Content in Recent Years
• 3.2 SAIC IM Motors
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• IM AIOS Cockpit Pioneers A Vehicle-Human Interaction Mode: "No Touch & No App"
• Core Multimodal Interaction: Voice Interaction
• Summary of Interaction Modality OTA Content in Recent Years
• 3.3 FAW Hongqi
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• The New "Lingshi Cockpit" Features Audio-Visual Interaction
• Summary of HMI Functions of Lingshi Cockpit
• 3.4 Geely
• HMI Functions of Geely's Previous-Generation Intelligent Cockpit Systems
• HMI Functions of Lynk & Co's Previous-Generation Intelligent Cockpit Systems
• HMI Functions of Zeekr's Previous-Generation Intelligent Cockpit Systems
• Geely's AI Intelligent Cockpit Strategy: Fully Entering the AI Era to Achieve "One Geely, One Cockpit"
• Geely's AI Intelligent Cockpit Technical Architecture
• Geely's New-Generation AI Cockpit Operating System Flyme Auto 2 Leads Cockpit Interaction into a New Experience of "Services Finding Users"
• Geely Launches Multimodal Agent Eva to Perceive User Emotions and Provide Proactive Care
• The Intelligent Cockpit System of the Latest Zeekr AI OS 7 Launches AI Eva Agent
• Summary of Geely's Interaction Modality OTA Content in Recent Years
• Summary of Lynk & Co's Interaction Modality OTA Content in Recent Years
• Summary of Zeekr's Interaction Modality OTA Content in Recent Years
• 3.5 Great Wall Motor
• HMI Functions of WEY's Previous-Generation Intelligent Cockpit Systems
• Coffee OS 3 Smart Space System
• Coffee OS 3.1 Upgrades Voice Interaction Functions and Supports the Support Digital Health Applications in IVI Linkage
• Coffee OS 3.3 Continuously Optimizes Voice Interaction Functions
• Summary of WEY's Interaction Modality OTA Content in Recent Years
• Summary of Tank's Interaction Modality OTA Content in Recent Years
• 3.6 Chery
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Lion Tech Intelligent Cockpit
• Chery Cooperated with SenseTime to Build the Next-Generation AIOS, Enabling Proactive Services and Emotional Companionship in Intelligent Cockpits
• Summary of Interaction Modality OTA Content in Recent Years
• 3.7 Changan
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Tianshu Intelligent Cockpit Enhances Vehicle-Human Interaction and Health Protection Function Experiences
• Summary of Interaction Modality OTA Content in Recent Years
• 3.8 Voyah
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Xiaoyao Cockpit 2.0 Upgrades Five-Sense and Intelligent Experiences
• Summary of Multimodal Interaction Capabilities of Xiaoyao Cockpit
• Summary of Interaction Modality OTA Content in Recent Years
• 3.9 Li Auto
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Intelligent Cockpit 7.0: Fully Upgrades the Lixiang Tongxue Function Based on Mind GPT
• Intelligent Cockpit 7.4: Upgrades the Lixiang Tongxue Life Assistant Agent to Realize Food Delivery Ordering Function
• Intelligent Cockpit 8.0: Fully Upgrades Lixiang Tongxue to Lixiang Tongxue Agent
• Summary of Interaction Modality OTA Content in Recent Years
• 3.10 NIO
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Featured Interaction: NOMI Voice Interaction System
• Summary of Interaction Modality OTA Content in Recent Years
• Summary of ONVO's Interaction Modality OTA Content in Recent Years
• Summary of Firefly's Interaction Modality OTA Content in Recent Years
• 3.11 Leapmotor
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Leapmotor OS 4.0 PLUS Intelligent Cockpit System Equipped with Dual AI Large Voice Models
• Leapmotor Cooperated with Unity China to Create a New HMI Experience for the Next-Generation Intelligent Cockpit
• Summary of Interaction Modality OTA Content in Recent Years
• 3.12 Xpeng
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• VLM Large Model Defines the Next-Generation Intelligent Cockpit Interaction Experience
• Featured Multimodal Interaction Functions
• Summary of Interaction Modality OTA Content in Recent Years
• 3.13 Xiaomi
• Hyper Intelligent Cockpit
• "Super Xiaoai" Multimodal Fusion Application
• Xiaomi Adds AI Spatial Interaction Sensors to Achieve Air Gesture Control
• Summary of Interaction Modality OTA Content in Recent Years
• 3.14 BMW
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Panoramic iDrive Equipped with Ultra-Sensitive Quality Control Steering Wheel and AI Large Language Model
• Typical Models with In-Vehicle Infotainment Systems: All-New BMW iX3

4 Multimodal Cockpit Solutions of Suppliers

• 4.1 Desay SV
• Profile
• Development Strategy
• Multimodal Interaction Solution: Smart Solution 3.0
• Multimodal Interaction Solution: Smart Solution 3.0 Innovative Scenario Applications
• Desay SV and ModelBest Jointly Released On-device Large Model Voice Interaction Solution
• 4.2 Joyson Electronics
• Profile
• Evolution and Definition of JOYNEXT Intelligent Cockpit
• JoySpace+ Immersive Intelligent Cockpit Solution Integrates Multiple Innovative Multimodal Interaction Technologies
• JoySpace+ Immersive Intelligent Cockpit Solution: Sensory Interaction
• JoySpace+ Immersive Intelligent Cockpit Solution: Light and Shadow Space
• JoySpace+ Immersive Intelligent Cockpit Solution: Smart Space
• 4.3 SenseTime
• Profile of SenseTime
• SenseAuto Intelligent Cockpit Product System
• Models-as-a-Service (MaaS) of SenseAuto On-device Multimodal Large Model MAAS
• Open Model Atomic Capabilities of SenseAuto On-device Multimodal Large Model (1): Full-Cabin Scenario Perception
• Open Model Atomic Capabilities of SenseAuto On-device Multimodal Large Model (2): Multimodal Fusion Capabilities
• Open Model Atomic Capabilities of SenseAuto On-device Multimodal Large Model (3): Multi-Image Perception Capabilities
• SenseAuto Multimodal Interaction Application Cases
• 4.4 iFLYTEK
• Profile
• Full-Stack Intelligent Interaction Technology
• Spark Smart Cockpit
• Spark Smart Cockpit 2.0
• Spark Smart Cockpit 2.0: Applications
• Characteristics of Multimodal Perception System: Safety Protection, Personalized Interaction, Multimodal Interaction
• Multimodal Interaction Becomes a Key Direction of iFLYTEK Super Brain 2030 Plan
• 4.5 Thundersoft
• Profile
• AIDV Roadmap
• Device-Edge-Cloud AI Cockpit Solution Creates Full-Link Multimodal Services
• AIBOX+AIOS Integrated Solution Deeply Integrates Multimodal Interaction
• AquaDrive OS 1.0 Evo, Offering Innovative Cockpit Interaction Experience
• 4.6 Huawei
• Profile
• HarmonyOS Evolution History
• HarmonySpace 5 Achieves Immersive Interaction Based on Five-Sense Synergy Technology
• HarmonySpace Reshapes Multimodal Interaction Functions Based on Qianwu Large Model
• Qianwu Interaction Characteristics (1): Enhances Xiaoyi Voice Capabilities + In-vehicle Sensing + Visual Perception Capabilities to Achieve Unconscious Interaction
• Qianwu Interaction Characteristics (2): Supports Millimeter-Level Precise Perception and Full-Cabin Multimodal Human Body Perception
• Featured Interaction Function: Multimodal Monitoring System to Create Driver Incapacitation Assistance Function
• 4.7 Baidu
• Profile
• Apollo Super Cockpit: Building Agents with Full-Sense Fusion, Global Planning and Full-Domain Execution
• Intelligent Cockpit Deeply Integrates End-to-End Cross-Modal AI Voice
• Intelligent Cockpit Deeply Integrates End-to-End Cross-Modal AI Voice: Launches Xiaodu Ideal Agent
• Intelligent Cockpit Deeply Integrates End-to-End Cross-Modal AI Voice: In-vehicle Application Case
• 4.8 Banma Zhixing
• Profile
• Banma Zhixing Released Intelligent Cockpit AI Technology Brand - Yan AI
• Yan AI Released "One Rocket, Ten Satellites" Interactive Agents
• Banma Zhixing Released Yan AI Hybrid E2E Framework
• Banma Zhixing First Launched Full-Modal On-device Large Model Vehicle-Mounted Solution AutoOmni
• Banma Zhixing Initiated the "AI Vehicle-Mounted Platform Service Ecological Alliance" with Ecosystem Partners

5 Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models

• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (1)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (2)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (3)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (4)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (5)
• 5.2 All-New IM L6: Panoramic Summary of Multimodal Interaction Functions
• 5.2 All-New IM L6: Analysis of Featured Modal Interaction Capabilities
• 5.3 Fangchengbao Bao 8: Panoramic Summary of Multimodal Interaction Functions
• 5.3 Fangchengbao Bao 8: Analysis of Featured Modal Interaction Capabilities
• 5.4 Hongqi Jinkuihua Guoya: Panoramic Summary of Multimodal Interaction Functions
• 5.4 Hongqi Jinkuihua Guoya: Analysis of Featured Modal Interaction Capabilities (1)
• 5.4 Hongqi Jinkuihua Guoya: Analysis of Featured Modal Interaction Capabilities (2)
• 5.4 Hongqi Jinkuihua Guoya: Analysis of Featured Modal Interaction Capabilities (3)
• 5.5 Denza N9: Panoramic Summary of Multimodal Interaction Functions
• 5.5 Denza N9: Analysis of Featured Modal Interaction Capabilities (1)
• 5.5 Denza N9: Analysis of Featured Modal Interaction Capabilities (2)
• 5.6 Zeekr 9X: Panoramic Summary of Multimodal Interaction Functions
• 5.6 Zeekr 9X: Analysis of Featured Modal Interaction Capabilities
• 5.7 Geely Galaxy A7: Panoramic Summary of Multimodal Interaction Functions
• 5.8 Leapmotor B10: Panoramic Summary of Multimodal Interaction Functions
• 5.9 Li i6: Panoramic Summary of Multimodal Interaction Functions
• 5.9 Li i6: Analysis of Featured Modal Interaction Capabilities (1)
• 5.9 Li i6: Analysis of Featured Modal Interaction Capabilities (2)
• 5.10 Xpeng G7: Panoramic Summary of Multimodal Interaction Functions
• 5.10 Xpeng G7: Analysis of Featured Modal Interaction Capabilities
• 5.11 Xiaomi YU7: Panoramic Summary of Multimodal Interaction Functions
• 5.11 Xiaomi YU7: Analysis of Featured Modal Interaction Capabilities
• 5.12 MAEXTRO S800: Panoramic Summary of Multimodal Interaction Functions
• 5.12 MAEXTRO S800: Analysis of Featured Modal Interaction Capabilities (1)
• 5.12 MAEXTRO S800: Analysis of Featured Modal Interaction Capabilities (2)
• 5.12 MAEXTRO S800: Analysis of Featured Modal Interaction Capabilities (3)
• 5.13 2025 AITO M9: Panoramic Summary of Multimodal Interaction Functions
• 5.13 2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (1)
• 5.13 2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (2)
• 5.13 A2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (3)
• 5.13 2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (4)
• 5.14 All-New BMW X3 M50: Panoramic Summary of Multimodal Interaction Functions
• 5.14 All-New BMW X3 M50: Analysis of Featured Modal Interaction Capabilities
• 5.15 2026 Audi E5 Sportback: Panoramic Summary of Multimodal Interaction Functions
• 5.15 2026 Audi E5 Sportback: Analysis of Featured Modal Interaction Capabilities (1)
• 5.15 2026 Audi E5 Sportback: Analysis of Featured Modal Interaction Capabilities (2)
• 5.16 All-New Mercedes-Benz Electric CLA: Panoramic Summary of Multimodal Interaction Functions
• 5.16 All-New Mercedes-Benz Electric CLA: Analysis of Featured Modal Interaction Capabilities

6 Summary and Development Trends of Multimodal Interaction

• 6.1 Summary of Large Model Configuration Parameters of OEMs
• 6.2 Trend 1: Evolution of Multimodal Interaction Based on AI Large Models
• Vehicle Scenario Applications Under Multimodal Integration
• Cases
• 6.3 Trend 2
• Cockpit Scenario Application Cases
• Application Cases
• 6.4 Trend 3 (Voice Interaction)
• 6.5 Trend 4 (Visual Interaction)