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Gasgoo Awards 2022 applicant: NOA driving and parking Solution from Yihang Intelligence

From Yihang Intelligence| September 23 , 2022 12:00 BJT

For the Gasgoo Awards 2022, the NOA driving and parking Solution from Yihang Intelligence has applied for the Top 100 Players of China's New Automotive Supply Chain.


Yihang intelligence's  NOA docking integration scheme realizes point-to-point automatic driving capability in typical scenarios with high cost performance, and creates immersive driving experience through leading fusion sensing algorithm and rich sensing devices, opening a new era of human-machine co-driving.

Gasgoo Awards 2022 applicant: NOA driving and parking Solution from Yihang Intelligence

Photo credit: Yihang Intelligence

Unique Advantages:

Five unique advantages of Yihang's NOA solution

1) Full function: The most complete form of NOA function is realized - with 16 driving functions, automatic overtaking and automatic road network switching (ramp driving) are its core capabilities; 10 parking functions, among which 1000 meters memory parking and fusion parking are the industry leaders.

2) Cost-effectiveness: Based on TI TDA4 platform, the cost of NOA is reduced by more than 50% compared to the NOA mass production solution already launched in the market, and can cover models within 150,000 RMB. Two solutions are offered, single/dual TDA4, where the single TDA4 solution can replace L2 ADAS functions, achieving higher-order functions with a better driving experience at the same cost.

3) High safety: ENCAP five-star rating certification, greatly improving active safety capabilities, mass production models exported to Europe.

4) Energy evolution: support data return and OTA online upgrade to promote continuous iterative upgrade of the autonomous driving system.

5) Good experience: 5R11V+12USS rich configuration with advanced fusion sensing algorithm brings centimeter-level control accuracy and creates an immersive driving experience.


Freeways, city ring roads, and urban expressways, with point-to-point autonomous driving from automatically entering the ramp to exiting the ramp.


The realization of the ultimate goal of autonomous driving cannot be achieved without the large-scale accumulation of high-quality data and the iterative upgrading of deep learning algorithms nourished by data, and whoever has mastered the data will have the initiative of development. Yihang intelligence NOA line parked one already has a large-scale promotion basis, can provide high-quality human-machine co-driving data, is a new starting point for automatic driving data accumulation.

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