ASENSING and JOYNEXT Formed Deep Partnership to Accelerate Autonomous Driving and Embodied Intelligence

Recently, JOYNEXT has formed deep partnership with ASENSING, leader in space-time intelligence. Both parties will integrate high-precision positioning and attitude measurement solutions with the domain control to accelerate the large-scale mass production of L2+ to L4 autonomous driving solutions and simultaneously expand technologies into the field of embodied intelligence.

Large-scale deployment of advanced autonomous driving relies on in-depth collaboration between high-precision motion perception and domain control integration. Especially in complex driving environments such as urban canyons, tunnels and curved roads, the consistent delivery of continuous, reliable positioning and attitude data that meets functional safety standards ensures stable and robust system operation.

Leveraging its expertise in automotive-grade 6-axis MEMS inertial measurement chips, ASENSING has achieved mass production of full-stack space-time intelligence products, ranging from GNSS and IMU modules to system-level integration. It delivers real-time, high-precision, stable and trustworthy positioning and attitude data for intelligent mobility devices including vehicles and robots.

To further improve the autonomous driving perception system, both parties are advancing the integrated collaboration between short-range blind-spot LiDAR and positioning systems.

It enables real-time synergy between the short-range 3D sensing capability of blind-spot LiDAR and high-accuracy positioning data from IMU and GNSS. This eliminates visual blind spots around the vehicle, enhances perception redundancy in scenarios such as low-speed parking and narrow-road driving, and comprehensively improves the safety and reliability of the intelligent driving system.

In addition, ASENSING and JOYNEXT are jointly expanding the lightweight application of IMU technology in embodied intelligence. By transferring automotive-grade, high-reliability IMU sensing technology to robotic scenarios, the two parties will develop dedicated inertial perception solutions for embodied intelligence. This addresses key challenges in precise positioning and attitude control for robots during movements such as running, jumping and flipping, as well as human-machine interaction in complex indoor and outdoor environments with varied terrain and dynamic obstacles. It also improves the stability and safety of robot autonomous navigation, obstacle avoidance and operational performance.

Ms. Pia Hu, ASENSING CEO, stated: “The upgrade of advanced autonomous driving from being functional to fully reliable is closely tied to breakthroughs in underlying space-time intelligence technologies. JOYNEXT delivers mature and comprehensive global capabilities in R&D and mass production delivery for domain control platforms and system integration. Through the shared reuse of core technologies, we will jointly address positioning and perception challenges in complex scenarios. Supported by JOYNEXT’s overseas deployment advantages, the two parties will jointly consolidate the underlying technical foundation for the development of the global smart vehicle and robotics industries.”

Mr. Adam Xi, JOYNEXT Chairman and CEO, stated: “ASENSING and JOYNEXT will leverage mutual technical and resource strengths to achieve full-stack collaboration across perception hardware, fusion algorithms and automotive-grade validation. ASENSING’s full-stack spatiotemporal intelligence technologies will be integrated into JOYNEXT’s domain controllers and chip platforms, to resolve pain points regarding sensor accuracy, stability and blind spots in complex driving scenarios. The partnership will build a closed-loop system featuring high-precision position and attitude sensing, full-range perception and intelligent decision-making, forming a core technical foundation for the large-scale deployment of L2+ to L4 advanced driver assistance systems.”

In the future, JOYNEXT and ASENSING will continue to tackle positioning challenges in complex scenarios, advance blind-spot perception and chip innovation, and deepen collaboration and joint research in core perception chips to achieve technological breakthroughs and industrial empowerment, jointly driving the intelligent vehicle industry to next level.