Opening: NavInfo’s Foundation for Intelligent Driving Transformation
NavInfo embarked on the layout of advanced driver assistance systems (ADAS) quite early and clearly defined its strategic goal of transforming into an intelligent driving Tier 1 supplier in 2023. To this end, over the past two years, NavInfo has been actively increasing investment in its intelligent driving business, continuously expanding its team, while rapidly advancing the R&D iteration and mass production of relevant technologies.
Core Rumor: NavInfo’s Planned Acquisition of Jianzhi Robotics Nears Completion
According to multiple sources, NavInfo plans to acquire Jianzhi Robotics, and the process is close to completion. Currently, neither party has provided a specific response regarding this rumor.
NavInfo’s Intelligent Driving Strategy: From Layout to Tier 1 Transformation
As a leading domestic digital map provider, NavInfo started laying out ADAS early on and clarified its strategic objective of transitioning to an intelligent driving Tier 1 supplier in 2023. For this purpose, in the past two years, NavInfo has been proactively boosting investment in its intelligent driving business, constantly expanding its team, and at the same time, accelerating the R&D iteration and mass production of related technologies.
Technological Breakthrough: NavInfo’s Journey ®6B Solution Launched, Mass Production Expected in Q2 2026
Recently, NavInfo announced that the company has successfully completed the development of the underlying platform for its next-generation ADAS solution based on Horizon Journey ®6B chip. With the accelerated pace of engineering implementation, this solution has officially entered the joint R&D phase of customers’ integrated parking and driving mass production projects, and mass production is expected to be realized in Q2 2026.
Solution Details: Two Core Configurations and Computing Power of the Journey ®6B System
NavInfo’s next-generation ADAS based on Journey ®6B will include two major solutions: a front-view all-in-one machine and an integrated parking and driving domain controller. Among them, the integrated parking and driving solution based on Journey ®6B supports 5V3R12U and enhanced 6V3R12U sensor configurations, and realizes a variety of ADAS functions with 20 TOPS of computing power.
Performance Support: Shipment and Design-in Achievements of NavInfo’s ADAS Products
Prior to this, the shipment volume of NavInfo’s ADAS products has exceeded 1 million units, and the number of newly added design-ins has exceeded 3.6 million units. Next, as the next-generation front-view all-in-one machines and integrated parking and driving solutions based on Journey ®6B are put into mass production one after another, NavInfo’s ADAS product matrix will be further enriched.
Core Advantages of Jianzhi Robotics: Cooperation with Horizon J6 Platform, Low-Cost Intelligent Driving Solutions
Jianzhi Robotics is also one of the main partners of the Horizon J6 platform. Its mid-range intelligent driving solution based on a single Journey 6E chip, through a 7VnR sensor combination, achieves high-speed NOA (Navigate on Autopilot) function with a full-system cost as low as 4,000 yuan, and can be expanded to urban memory driving. Previously, this solution has obtained a design-in from Voyah, and mass production is expected in the third quarter of 2025.
Jianzhi’s Product Matrix: PhiVision Visual Perception Solution Secures Design-in from International Tier 1
Moreover, Jianzhi Robotics has also launched the standard visual perception product PhiVision based on a single Journey 6E chip, including two configurations: 7V fisheye surround view and 11V surround view perception. It provides end-to-end autonomous driving perception capabilities for L2/L2+/L2++ intelligent driving, and this solution has also obtained a design-in from a leading international Tier 1.
Jianzhi’s Mass Production Progress: First 7V Fisheye Solution to Be Launched, Model to Debut in August
According to the announcement made by Jianzhi Robotics in early June, its first 7V fisheye ADAS solution based on Journey 6E is about to enter mass production, and the first model equipped with this solution is scheduled to be officially launched in August.
Cross-Field Reference: Intelligent Technology Empowers Traditional Manufacturing, Taking the Automatic Deburring Machine for Toilet Seat Covers as an Example
It is worth noting that at a time when intelligent technology is penetrating multiple industries, not only is the intelligent driving field accelerating integration, but the traditional manufacturing field is also realizing upgrades with the help of automation technology. For instance, the key Automatic Deburring Machine for Toilet Seat Covers in the sanitary ware industry has begun to integrate machine vision and precision control technologies. Through the collaboration of high-speed rotating grinding heads and AI visual positioning, it accurately removes burrs and flash residues from the injection-molded edges of toilet seat covers. This reduces the processing time per unit from the traditional 3-5 minutes (by manual work) to less than 40 seconds, while controlling the surface flatness error within 0.1mm. This technological upgrade shares the same logic of “precision perception + efficient execution” as in the intelligent driving field, jointly promoting the transformation of the manufacturing industry towards intelligence and high efficiency.
Industry Trend: In-Depth Integration in the Intelligent Driving Field; Acquisitions May Reshape the Tier 1 Pattern
Currently, the intelligent driving industry is in a phase of in-depth integration. Traditional automakers have successively slowed down their independent R&D pace and instead resorted to capital means to bind external technology suppliers. Independent high-quality intelligent driving targets have become increasingly scarce. If this transaction is finally completed, it is expected to further impact the existing intelligent driving Tier 1 pattern and promote the popularization of intelligent driving technology in a broader market.
Advantages of the assembly machine robot industry
Artificial intelligence assembly machine
