GWM Chairman live to test intelligent driving system! Performance in the test is not bad!

On June 30, GWM Chairman Wei Jianjun personally drove the WEY Blue Mountain Intelligent Driving version, showing the real scenario of GWM's all-scenario NOA intelligent driving system (hereinafter referred to as: GWM NOA system) in the busy and complex road section in Chongqing, China, in the form of live video streaming.

Chongqing, China is also known as the "Mountain City", which is renowned far and wide for its intricate terrain and diverse roads. The numerous flyovers, steep slopes, and sharp turns have brought stricter tests to the NOA system. The test route is approximately 35 kilometers long, spanning Jiangbei, Nan'an, and Yuzhong three major administrative districts. From busy tourist commercial areas to complex overpasses, from crowded city centers to underground "maze circumferences", the challenge difficulty is obvious.

In the live broadcast test, the Great Wall NOA system successfully coped with various complex road conditions. It is reported that this system integrates the end-to-end large model-SEE (Safety-Efficiency-Experience). SEE achieves the end-to-end integration of perception, decision-making, and rule control. Based on deep learning technology, it jointly trains the model through input data, and no longer defines driving behavior by rules, but directly trains the model to "drive" like a driver.

Regarding the results of this live broadcast, Wei Jianjun also said: "Live broadcast is to show real strength. GWM is never afraid of challenges and dare to face users directly. For intelligent driving technology, safety and usability are the most important, which will make everyone's driving experience more relaxed, and this has always been what GWM insists on."

As the largest and most complex interchange in Chongqing's main city, Panlong Interchange includes 5 levels, 8 directions, and 20 ramps. During the live broadcast, it can be seen that the Great Wall NOA system successfully recognized the ramp junction in advance and accurately planned the driving route. In the process of the vehicle changing lanes to the right from the main road to the auxiliary road, the Great Wall NOA system monitors the right-side vehicles in real time, which effectively controls the safe distance, and chooses the most reasonable timing to change lanes. This series of operations vividly showcase the ability of the Great Wall NOA system to select lanes and plan routes under complex traffic conditions.

As the vehicle enters the bridge on the river, facing the peak congestion on the bridge, the Great Wall NOA system fully demonstrates its smart lane changing strategy and game playing ability. Not only can it analyze the traffic flow and vehicle location in real time, but also quickly through accurate calculation, ultimately seamlessly complete high difficulty merging operation. In addition, the GWM NOA system can also update road conditions in real time, dynamically adjust driving strategies, and keep driving smoothly as much as possible.

After entering the Yu Zhong District, the challenges faced by the GWM NOA system are not diminished at all. The Yu Zhong District has a large number of narrow streets and complex pedestrian and vehicle mixed traffic conditions. The performance of the Great Wall NOA system on this journey is impressive, not only can it flexibly keep a distance from the vehicle in front, but also can make an emergency evasion when facing sudden non-motorized vehicles and pedestrians.

The Liberation Monument underground roundabout is not only extremely narrow and dim, but also the road markings are very vague, and the communication signal is also poor. But even under such adverse road conditions, the GWM NOA system can still accurately identify road signs and traffic lights, and "imagine" to generate lane lines, allowing the vehicle to successfully pass through this equally challenging section.