Shulou(Shulou.com)11/24 Report--

The largest programmer dating community GitHub, today's hot search is very special, related to cars, or China's new car company: Xiaopeng car.

The most popular open source projects on the GitHub list are generally emerging technologies, experiments and other popular open source projects. And this time Xiaopeng car on the hot list, the content is a bit "out of line", is the car owner spontaneously cracked the official car code.

This kind of cracking has also won the support of more people. What on earth happened?

Xiaopeng car owner cracked the car machine GitHub hot list on the GitHub hot list, is released by the Xiaopeng car owner, can crack the official car machine way.

According to the introduction, follow the steps to open the adb and network adb of Xiaopeng P5, P7, G3 and other models.

The purpose of this is to install third-party software on the car.

Xiaopeng's car can actually install third-party software, but the core is only with the official permission of Xiaopeng, otherwise there are security risks like "prison break".

So what makes these car owners download third-party software even at the risk of security?

Because of the official iteration and update, it really can not catch up with the expectations of car owners. Xiaopeng car owners even set up a "great unity" organization, once wanted to force the palace official to speed up some specific functions of the appeal, the core includes the following:

Update Amap version, update default music software version

Optimize Sentinel mode

Update the function of turning on the auxiliary camera when turning on the turn signal

Re-evaluate the feasibility of the old model adapting to the new version of UI and replacing the 8155 engine.

At the core of these functions are P7 and P5 owners, of which the P7 model did not have a Snapdragon 8155 chip at that time, while the P5 model did not have an OTA iteration and update frequently because of sales and retention, including the experience of the latest map version still stuck in the "last era" of the Gaud mobile version.

For example, the version of Amap on the car is not as good as the mobile phone, there is no traffic light read second function, the experience is not as good as the mobile phone. The old car owners once appealed to the official Xiaopeng, but the main reply was that the hardware did not support it.

After the recent OTA, the problem of core software experience has not been solved. So the group of car owners of Xiaopeng, which has a large number of "geeks", do it themselves and have plenty of food and clothing.

Of course, this way of cracking and jailbreak, there are actually factors to express dissatisfaction. After all, Xiaopeng's OTA is now facing the situation of multi-vehicle warfare.

In the nine years since its inception, Xiaopeng has released five models. However, it is not until G9, P7i and G6 that the software and hardware stack standards are unified.

The cockpit Snapdragon 8155 is used in the core hardware of all three cars, the Nvidia Orin-X is used in the driving domain, and the smart driving sensor scheme is being standardized.

But for the G3 series and the old P7, P5, the maintenance and update of OTA, almost every model needs special team and maintenance. And this is why the "great unity" of Xiaopeng owners, this time to P7 and P5-based.

New test: continuous iteration of smart car users experience the fundamental difference between traditional cars and smart cars lies in the sustainability of OTA.

OTA, that is, software online update iteration. Unlike hardware replacement, OTA's approach allows the hardware to be updated overnight to show a whole new product experience. Many smart car products may not be complete when they first hit the market, but as they iterate, they can gradually achieve a better experience.

For example, the high-speed NGP experience of the P7 model was later realized through OTA.

But for OTA, the most direct and realistic challenge is to imagine the hardware foundation from the beginning, and to be able to keep up with service and maintenance as the model SKU expands.

For example, different bottom layers of chips may require different software iterations; for example, different sensor schemes will also correspond to different algorithms, software and product adjustments.

For smart car companies, when the model SKU is limited, the corresponding service and maintenance may still be able to keep up, but once the model products begin to be rich, it will involve the challenge of resource matching and iterative priority.

As for Xiaopeng Automobile, the newly released G6 model has the most concentrated resource investment, so it will be "far ahead" internally in terms of capability experience, including XNGP, while the priority of other models will naturally fall behind.

This choice is the result of the company's organization has to do, but in the car owners, of course, will also encounter a sense of incomprehension or even "demand can not be met".

In fact, this is not only a challenge for Xiaopeng cars, but also a problem common to all smart car players. However, Xiaopeng's leadership in intelligence and the "geek" ability and attributes of Xiaopeng car owners have exposed the problems in this new era even earlier.

Is there no way to strike a balance between corporate efficiency and user experience?

Yes, there is. "doll-style" cars.

Yes, the doll-style car that has often been ridiculed since the release of the ideal L-series. However, beyond the appearance of the design, the core essence of doll car building is to use the same set of hardware infrastructure and the same set of software stack to achieve more efficient user experience iteration and update.

In fact, the originator of doll-style car building is actually Tesla under Musk.

Whether it is the sensor scheme related to smart driving or the hardware foundation with the intelligent cockpit as the core, Musk has long considered the iterative efficiency of models and vehicles after they are delivered to scale.

And this more essential "doll" may also be the norm in the field of smart car construction in the future.

Of course, in addition to the "end-to-end" planning of software and hardware from the beginning, thinking about SKU like a doll, there is also a smartphone approach that may also help improve the iterative problem of user experience--

App store, developer ecology.

Yes, official resources can not keep up, so mobilize the strength of developers and the people to establish a developer ecology for their own products, and satisfy car owners and users with more applications and content.

However, new problems will follow, one is the security, after all, the safety requirements of cars are more lethal and higher than those of mobile phones, and the other is the question of money, how developers can get a share and benefits in the ecology.

Now, the hot search of GitHub reflects the necessity of "developer ecology". Even if Xiaopeng is a hot search on the passive.

Reference link:

Https://github.com/hackxpeng/hackp5g9

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