Analysis on Baidu’s Intelligent Driving Business, 2022-2023
  • June 2023
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Baidu works on three autonomous driving development routes: Apollo Platform, Apollo Go (autonomous driving mobility service platform) and intelligent driving solutions.
       
Apollo Platform
      
In July 2017, Baidu announced the Apollo program, and released an open-source autonomous driving platform. In late 2018, Baidu officially opened up its Apollo V2X Solution. At present, Baidu Apollo boasts industry-leading solutions in three major fields: autonomous driving, intelligent vehicle and intelligent transportation. Baidu Apollo's vehicle intelligence solutions have been mass-produced for 134 models under 31 auto brands and mounted on a total of over 7 million vehicles. 

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On December 28, 2022, Baidu officially launched Apollo 8.0 for all developers, which provides higher usability and makes it easier for developers to operate. 

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Robotaxi
       
By April 2023, Baidu Apollo had tested a total mileage of more than 50 million kilometers, and its mobility brand "Apollo Go" had gone into normal operation in Beijing, Shanghai, Guangzhou, Shenzhen, Chongqing and Wuhan. Apollo Go is expected to cover up to 65 cities by 2025.
      
As of July 2022, Baidu had released six generations of production autonomous vehicle products, among which Apollo RT6, the sixth-generation product, is scheduled to be first available to Apollo Go in 2023.

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Intelligent Driving Solutions
      
Baidu’s intelligent driving product matrix covers: Apollo City Driving Max, Apollo Highway Driving Pro, Apollo Parking, and Apollo Cockpit-driving Integration.

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In April 2023, Apollo introduced its flagship product - Apollo City Driving Max. The "lightweight HD map" used in this system is nearly 80% “lighter” than conventional HD maps in the industry. Apollo City Driving Max packs 2 NVIDIA Orin X SoCs with the computing power of 508 TOPS, 2 high-beam LiDARs with a detection range of 180 meters, 7 8MP cameras, 4 3MP surround view cameras, 5 radars and 12 ultrasonic sensors.
         
Apollo City Driving Max uses only vision to enable urban navigate on autopilot (NOA). In the production stage, LiDAR will be added as a perceptual redundancy.
       
The new Voyah FREE, which debuted at the Auto Shanghai 2023, carries Apollo Highway Driving Pro, which offers such driving assistance functions as highway pilot, urban driving assist, and all-scenario efficient parking. The solution can provide accurate environmental perception and decision to enable multiple functions such as automated parking, automatic follow and automatic lane change.  
       
In 2023, Apollo Highway Driving Pro was upgraded, with the computing platform upgraded to a single TDA4-VH platform. Moreover, Baidu teamed up with Black Sesame Technologies to deploy Apollo Highway Driving Pro in the HuaShan-2 A1000 chip platform.  
       
Baidu's first-generation Apollo Cockpit-driving Integration uses Qualcomm 8295 (with the AI compute of 30 TOPS equivalent to NVIDIA Xavier) to enable intelligent cockpit and driving assistance functions.
       
Domain integration represents an important development trend of the intelligent driving industry in 2023. As a part of domain integration, cockpit-driving integration has begun to be laid out by many ADAS companies. Tier1 suppliers such as Baidu, Huawei and Desay SV have deployed their own product lines in the fields of intelligent driving and intelligent cockpit, making it easy for them to develop cockpit-driving integrated solutions.
       
For most players that only lay out intelligent driving or intelligent cockpits, it is necessary for them to cooperate with others on cockpit-driving integration. At the Auto Shanghai 2023, Banma Zhixing and HoloMatic Technology forged a strategic partnership to co-develop a cockpit-driving integrated solution. This is a typical cooperation case.

Related Reports:
Ambarella’s Intelligent Driving Business Analysis Report, 2022-2023
NXP’s Intelligence Business Analysis Report, 2022-2023
Jingwei Hirain’s Automotive and Intelligent Driving Business Analysis Report, 2022-2023
Continental’s Intelligent Cockpit Business Analysis Report, 2022-2023
Bosch’s Intelligent Cockpit Business Analysis Report, 2022-2023
Baidu’s Intelligent Driving Business Analysis Report, 2022-2023
Aptiv’s Intelligent Driving Business Analysis Report, 2022-2023
ZF’s Intelligent Driving Business Analysis Report, 2022-2023
Continental’s Intelligent Driving Business Analysis Report, 2022-2023
Bosch’s Intelligent Driving Business Analysis Report, 2022-2023
Horizon Robotics’ Business and Products Analysis Report, 2022-2023
Desay SV’s Intelligent Driving Business Analysis Report, 2022-2023
Renesas Electronics’ Automotive Business Analysis Report, 2023
Infineon’s Intelligent Vehicle Business Analysis Report
Haomo.AI’s Intelligent Driving Business Analysis Report
SenseTime’s Intelligent Vehicle Business Analysis Report

1 Overview of Baidu
1.1 Profile
1.2 Dynamics in Automotive Business 

2 Apollo (Autonomous Driving Open Platform) 
2.1 Overview of Apollo 
2.2 Development History of Apollo
2.3 Business Layout of Apollo
2.4 Intelligent Driving Product Matrix of Apollo
2.4.1 Apollo City Driving Max
2.4.2 Apollo Highway Driving Pro
2.5 Apollo 8.0
2.5.1 Module Structure of Apollo8.0
2.5.2 Perceptual Framework of Apollo 8.0
2.5.3 Toolchain of Apollo 8.0
2.6 Apollo Simulation Platform
2.6.1 Apollo Simulation Platform: Architecture
2.6.2 Apollo Simulation Platform: Scene Library 
2.6.3 Apollo Simulation Platform: Evaluation Criteria
2.7 Driving-parking Integrated Solution: ANP
2.7.1 Version Comparison of ANP 
2.7.2 Features of ANP 2.0
2.7.3 Driving-parking Integrated Solution: ANP 3.0
2.8 Vision-only Solution: Apollo Lite 
2.8.1 Integrated Perception Solution: Apollo Lite++
2.9 Autonomous Driving Perception 1.0
2.9.1 Main Algorithms of Autonomous Driving Perception 1.0
2.9.2 Autonomous Driving Perception 2.0
2.9.3 Autonomous Driving Perception 2.0- Application Challenges  
2.10 Perception Algorithms of Apollo
2.10.1 Perception Algorithms of Apollo - Vision Algorithm
2.10.2 Perception Algorithms of Apollo - Traffic Light Algorithm
2.10.3 Perception Algorithms of Apollo – Radar/Ultrasonics Algorithm 
2.11 ERNIE Foundation Model  
2.11.1 Overview
2.11.2 Application - Long Line-of-sight 3D Perception 
2.11.3 Application - Multi-modal End-to-End Perception
2.11.4 Application - Data Mining
2.12 Apollo Cloud
2.12.1 5G Cloud Chauffeur
2.12.2 5G Cloud Chauffeur Solution
2.12.3 Autonomous Vehicle Cloud Security System
2.12.4 Driving-cloud Integration, Data Closed Loop

3 Intelligent Driving Domain Controllers
3.1 Intelligent Driving Domain Controller Product Layout
3.2 Comparison between Intelligent Driving Domain Controllers
3.3 Intelligent Driving Domain Controller - “Wuren”
3.4 Intelligent Driving Domain Controller - “Sixi”
3.5 Intelligent Driving Domain Controller - “Sanxian” 

4 Autonomous Shuttle
4.1 Product Layout
4.2 Minibus
4.2.1 Minibus Application Cases
4.3 Robobus
4.3.1 Robobus Application Cases
4.3.2 Robobus Operation
4.4 Intelligent Platform Solutions
4.5 Robotaxi 
4.5.1 Apollo RT6
4.5.2 Distribution of Robotaxi by City
4.5.3 Status Quo and Goals of Robotaxi
4.5.4 Customer Feedback of Robotaxi
4.5 Development History of Robotaxi
4.5.6 Robotaxi Cooperation
4.5.7 Robotaxi Is Issued an Autonomous Driving Service License
4.5.8 100 Robotaxies Are Launched in Wuhan.

5 Electronic Maps and Positioning Services 
5.1 Electronic Map Product Planning
5.1.1 Electronic Map Product System
5.1.2 ADAS Map Approval by Guangzhou/Shenzhen 
5.1.3 Advantages of Electronic Map Products (1)
5.1.4 Advantages of Electronic Map Products (2)
5.1.5 Advantages of Electronic Map Products (3)
5.1.6 Advantages of Electronic Map Products (4)
5.1.7 Advantages of Electronic Map Products (5)
5.1.8 Advantages of Electronic Map Products (6)
5.1.9 Advantages of Electronic Map Products (7)
5.1.10 HD Maps and Intelligent Driving System
5.1.11 Human-machine Co-driving Map/Parking Integrated SDK
5.2 Combined Positioning Technology Solutions
5.2.1 Combined Positioning Technology Solutions (1)
5.2.2 Combined Positioning Technology Solutions (2)
5.2.3 Combined Positioning Technology Engines
5.2.4 Combined Positioning Algorithms (1) 
5.2.5 Combined Positioning Algorithms (2)
5.2.6 Evolution of Apollo High-precision Positioning Technology
5.3 "Vehicle-Road-Cloud-Map" Coordinated Development 

6 V2X Business
6.1 V2X Solution: Apollo Air
6.2 V2X Open Platform: "KAILU"
6.3 V2X Dataset
6.4 V2X-based Intelligent Highway Solution 
6.5 V2X Layout 
 

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