An intelligent driving solution that demonstrates its leadership in the automotive industry focusing on safety, intelligent competence, and technology.

• Zeekr is launching Zeekr G-Pilot with Door-to-Door intelligent driving capabilities
  
• Zeekr G-Pilot will have different tiers. All support advanced AES and parking functions while the top H9 can support L3 features
  
• The Zeekr 9X with Zeekr G-Pilot H9 solution will be Zeekr’s first L3-ready intelligent driving-ready model
  
• The Zeekr 9X will use an intelligent driving domain controller adapting dual-NVIDIA DRIVE AGX Thor
  
• Other Zeekr Group models will also receive G-Pilot features through future OTA updates 

Zeekr G-Pilot

Empowered by AI, big data, top-of-the-line system-on-chips (SoC) and powerful electrical and electronic architecture. Zeekr Group is launching the Zeekr G-Pilot. An intelligent driving solution that demonstrates its leadership in the automotive industry focusing on

• safety,
• intelligent competence, and
• technology.

As part of Geely’s G-Pilot technology offering, the new  technologies will come in different levels. Meeting the differentiated requirements of users who appreciate Zeekr’s intelligent driving experiences.

Zeekr G-Pilot solution offers many of the industry’s first for intelligent driving. Such as General Automated Evasion System (G-AES) and Full-Capacity Vehicle-to-Parking (V2P) intelligent drive.

With G-AES, Zeekr elevates autonomous safety to a new level. With the capability for continuous evasive manoeuvres for unexpected obstacles even at high speeds (80-130km/h). This is made possible by AI large model training. Which enables the system to recognize irregular obstacles and continue learning in the future.

Zeekr G-Pilot V2P intelligent drive enables users to drive anywhere, park anywhere with the recently updated Zeekr’s map-free urban NZP function. Even searching for parking spots will no longer be a chore with the AI Smart Parking Roaming function that allows Zeekr vehicles to search for nearby available spots and park autonomously.

Zeekr 9X will be Zeekr Group’s first model to have L3-ready autonomous driving capabilities

The upcoming flagship luxury SUV Zeekr 9X will be Zeekr Group’s first model to have L3-ready autonomous driving capabilities. Which is supported by Zeekr G-Pilot’s top technology H9.

The new model will have its official unveiling at the upcoming Shanghai Auto Show. And is expected to be delivered to users in the second half of 2025. The Zeekr 9X is developed on Zeekr’s next-gen ZEEA 3.0 electrical and electronic architecture. And will house a powerful intelligent driving domain controller with dual NVIDIA DRIVE AGX Thor that can have a computing power of 1,400 TOPS.

Zeekr will push OTA update to enable V2P and G-AES functionality on its vehicles in the coming months. Empowered by AI, G-Pilot will continue to evolve throughout the lifespan of the vehicles.

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Cyber hacking and vehicle malfunctions are two roadblocks hampering the acceptance of self-driving cars – among Australian uni students in any case. Despite earlier projections that all of us would be ‘backseat’ drivers by 2020, motorists are refusing to relinquish the wheel.

Driverless cars have been expected to revolutionise motoring, with some commentators predicting everyone would be a permanent backseat driver by now.

But the uptake has been far slower than anticipated, despite substantial efforts from the likes of Elon Musk and other entrepreneurs in the tech and auto industries to encourage drivers to relinquish control of the wheel.

While university campuses, airports, holidays parks and retirement villages are pegged as some of the potential early adopters, an Australian survey of university students published this month sheds light on why the take up of autonomous vehicles (AVs) is still relatively low.

University of South Australia (UniSA) urban planner Dr Ali Soltani surveyed 152 students in 2019, prior to COVID-19, to gauge their views about self-driving cars and the likelihood of using them.

The two biggest concerns cited were the risks of private data* being hacked and potential computer malfunctions leading to accidents.

Male students favoured AVs more than females and regular drivers were also more likely to adopt them if there were no financial barriers.

“Not surprisingly, engineering students were also more enthusiastic about self-driving cars than those who studied other subjects, probably because they have more technical knowledge and better understand the concept of AVs,” Dr Soltani says.

“We know that trust – or lack of it – related to the safety and security of AVs is a big obstacle to their adoption, but there are other factors at play, too.”

Students rated several features of AVs in terms of low to high risk. These features included:

• Technical, safety and legal factors relating to self-driving cars;
• Moral and ethical issues;
• Capacity to reduce traffic congestion and delays, improving travel time;
• Improved air quality, less pollution and greenhouse gases and better fuel efficiency;
• Lower public parking costs;
• Likelihood of computer malfunctions;
• Increased accessibility for people with disabilities and those without a driver’s licence;
• Vulnerability to remote control and cyber security breaches

“The survey revealed a high level of concern about cyber security and AV malfunctions and glitches but if these obstacles were addressed it could open the way for the State Government to run trials of AVs in university settings,” Dr Soltani says.

“Uni students have sporadic lesson plans and a lot of flexibility, with complex and varied commuting patterns. However, there is very little evidence to support the benefits and drawbacks of AVs in university campuses, hence our study.

“Tertiary educational trips in Australia have increased massively in recent years, contributing to urban traffic congestion. If we can overcome student reservations about self-driving cars, it would be a first step towards easing traffic on our roads and making life easier for everyone,” Dr Soltani says.

The study has been published in Case Studies on Transport Policy. For a copy of the study email candy.gibson@unisa.edu.au

*In February 2021, a European Union Agency for Cybersecurity report found that autonomous vehicles were “highly vulnerable to a wide range of attacks” that could be dangerous for passengers, pedestrians and people in other vehicles.

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