On November 28th, the ideal car will fully push the OTA 6.
5 version to AD Max users.
After the upgrade, the intelligent driving function can be started with one button, which can automatically drive out of the parking space, travel freely inside and outside the park, identify and respond to the gate lift.
Whether it is the city around the island, U-turn or other complex road conditions, can pass smoothly.
The system can also drive into a closed residential area or park, automatically match the navigation destination with the driving path in the park, and can park automatically whether it is an open-air or underground garage parking space.
Prior to this, ideal car has launched an internal test version of parking-to-parking function for some users, which performs well in practical application and has been widely recognized and positive feedback from users.
With the support of deep learning and AI technology, this function realizes automatic driving from the basement to the public road and then to the destination parking space, covering the high-frequency scenes of users’ daily use of cars.
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, in the trial run in Guangzhou, this function shows its intelligent driving ability without breakpoint, including automatic underground gate and automatic toll passage at highway toll stations.
User feedback shows that this function not only improves the convenience and safety of driving, but also greatly reduces the pressure and complexity in the driving process.
Tomorrow’s full push is the first smart car company in the industry to push parking spaces to all users, and it will be tested by the whole market.
What are the specific functions of ▍ parking spaces? The “parking space-to-parking” smart driving function means that the vehicle can drive intelligently in the whole journey between the starting parking space and the final parking space without human intervention.
This feature includes, but is not limited to:-one-click voice activation to turn on the smart driving function.
Response to narrow residential roads, roundabout, U-turns or complex construction scenarios: vehicles can easily cope with a variety of complex road conditions, providing a safe and convenient driving experience.
ETC autonomous traffic at national highway toll stations: vehicles support ETC autonomous traffic without manual operation, realizing the seamless connection of expressways.
AVP valet parking route automatic matching: vehicles can automatically match the navigation end point to the valet parking route, realizing the whole non-breaking point intelligent driving experience from parking space to parking space.
, the AD MAX intelligent driving system of the ideal car adopts the advanced “end-to-end + VLM” dual system architecture, which aims to realize the intelligence of the whole chain from perception to decision-making.
Through the deep learning algorithm, the system enables vehicles to understand the complex road environment in real time and make accurate driving decisions.
, in terms of hardware configuration, the ideal AD MAX system is equipped with two Nvidia Orin-X processors with a total computing power of 508 TOPS and the ability to support a higher level of autopilot.
In addition, the ideal L9 is equipped with 128-line lidar, multiple high-pixel cameras and ultrasonic radar to achieve true 360-degree omni-directional perception.
This hardware redundancy design makes the system run more stably and can cope with a variety of complex driving environments.
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, , from the software point of view, the ideal AD MAX uses full-stack self-developed perception, decision-making, planning and control software to support driving assistance functions including full-scene NOA, automatic parking, adaptive cruising and so on.
In addition, the ideal also constructs a software 2.
0 closed-loop architecture, including automatic data collection, mining, tagging, training, verification and vehicle deployment, to accelerate the landing of high-order auxiliary driving models.
This full-stack self-research ability not only improves the iterative speed of the system, but also enhances the security and reliability of the system.
Compared with similar intelligent driving technologies, the significant difference of ideal AD MAX lies in its ability to restore the physical world and predict the behavior of traffic participants.
AD MAX 3.
0 achieves higher accuracy and detail through static BEV road structure restoration, dynamic BEV traffic participant restoration, Occupancy road occupied physical world restoration, prediction model and real-time planning and other functions.
In addition, AD MAX also uses NeRF technology to enhance the Occupancy network algorithm, which further improves the accuracy and details of the system.
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, ▍ AD MAX and AD PRO, there are significant differences between AD Max and AD Pro intelligent driving systems of ideal cars in terms of hardware configuration, functional coverage and applicable scenarios.
Hardware configuration: AD Max: equipped with double Nvidia Orin-X chip, total computing power up to 508TOPS, and equipped with lidar.
In addition, the AD Max is equipped with a number of high-resolution cameras, including six 8 million-pixel cameras and four 3 million-pixel and 1 2 million-pixel cameras for more comprehensive perception.
AD Pro: uses Horizon Journey 5 chip, calculates 128TOPS, does not have lidar, and mainly depends on visual perception.
Its camera configuration is relatively low, with only one 8 million-pixel camera and nine 2 million-pixel cameras.
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,-function coverage:, AD Max: supports intelligent driving assistance in the whole scene, including NOA (Navigation assisted driving) function on urban roads and highways.
In addition, the AD Max has higher levels of active safety features, such as automatic emergency braking (AEB) at night, and better obstacle identification.
AD Pro: mainly focuses on driving assistance on closed highways.
Currently, it only supports high-speed NOA, not urban NOA.
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, , , -applicable scenarios: AD Max: because of its powerful hardware configuration and the blessing of lidar, it is suitable for use in complex urban road environment, and can deal with all kinds of complex traffic scenes.
AD Pro: more suitable for use on closed highways to provide a smooth and safe driving experience, but not for urban roads.
To sum up, the main difference between AD Max and AD Pro lies in hardware configuration and functional coverage.
AD Max has stronger hardware computing power and lidar support, which can achieve intelligent driving assistance in the whole scene, while AD Pro focuses on the driving assistance function of high-speed closed roads, which is suitable for users who need high-speed NOA.
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