On June 30, Great Wall Motors Chairman Wei Jianjun personally drove the Wei brand Lanshan smart driving version. In the form of a full video live broadcast, on a busy and complex road section in Chongqing, it truly demonstrated the full scene of Great Wall Motors noa intelligence The driving system (hereinafter referred to as: Great Wall noa system) has outstanding technical strength.
Chongqing is also known as the "Mountain City" and is famous for its intricate terrain and diverse roads. Numerous overpasses, steep slopes and sharp turns have also brought more stringent tests to the noa system testing. The total length of this test trip is about 35 kilometers, spanning the three administrative districts of Jiangbei, Nan'an, and Yuzhong. From busy tourist and business districts to complex overpasses, from crowded city centers to underground "maze loops", the challenge is self-evident. Metaphor.
In the live test, the Great Wall noa system was comparable to experienced driving experience and successfully handled various complex road conditions. And all of this is inseparable from Great Wall Motors' end-to-end large model - see (safety, efficiency, experience). see realizes the full-link integration of perception, decision-making, regulation and control. Based on deep learning technology, the model is jointly trained by inputting data. Driving behavior is no longer defined by rules, but the model learns directly like a driver. "How to drive".
Regarding the results of this live broadcast, Wei Jianjun also said: "Live broadcast is to show true strength. Great Wall Motors has never been afraid of challenges and dared to face users directly. For smart driving technology, safety and ease of use are the top priorities. This will Making everyone's driving experience easier is what Great Wall Motors has always insisted on doing. "
Technical challenges of Panlong Interchange: early identification and rational route selection
Panlong Overpass is the largest and most complex overpass in the main city of Chongqing, containing 5 floors. , 8 directions and 20 ramps. As can be seen in the live broadcast, the Great Wall noa system successfully identified ramp intersections in advance and accurately planned the driving route. When the vehicle changes lanes to the right from the main road to the auxiliary road, the Great Wall noa system monitors the oncoming vehicles on the right in real time, effectively controls the safe distance, and selects the most reasonable lane change opportunity. This series of operations fully demonstrated the lane selection and path planning capabilities of the Great Wall noa system under complex traffic conditions.
Congestion management of Chongqing River Bridge: Effective gaming, smooth traffic
When vehicles enter the bridge on the river, faced with the peak traffic congestion on the bridge deck, the Great Wall noa system fully demonstrates its smart lane changing strategy and gaming capabilities, not only It can analyze traffic flow and vehicle position in real time, and quickly and accurately calculate it, finally seamlessly completing the difficult merging operation. In addition, Great Wall noa system can also update road condition information in real time, dynamically adjust driving strategies, and maintain smooth driving as much as possible.
The urban maze in Yuzhong District: moving forward smoothly and avoiding obstacles flexibly
After entering Yuzhong District, the challenges faced by the Great Wall noa system have not diminished at all. Yuzhong District has a large number of narrow streets and complex mixed traffic conditions. The performance of the Great Wall noa system during this journey is eye-catching. It can not only flexibly maintain a distance from the vehicle in front, but also respond to sudden non-machine traffic. Emergency avoidance can also be done when moving vehicles and pedestrians.
The ultimate challenge of the Jiefangbei underground ring road: comprehensive perception, efficient decision-making
The Jiefangbei underground ring road is not only extremely narrow and dim, but also has unclear lane markings and poor communication signals. But even under such unfavorable road conditions, Great Wall noa system can still accurately identify road signs and traffic lights, and "brain-generate" lane lines to allow vehicles to smoothly pass through this equally challenging road section.
From the live broadcast of Great Wall noa smart driving in Baoding on April 15, to the live broadcast in Chongqing on June 30, Great Wall Motors has continuously challenged more difficult smart driving tests and presented them to users in a real way. This time in the face of Chongqing’s In "8d magic road conditions", it shows excellent adaptability and flexible and efficient processing capabilities. In the future, Great Wall Motors will adhere to technological innovation and further improve and optimize the smart driving system so that more users can enjoy the safe and convenient travel experience brought by smart driving.
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