Xpeng P7+: Blending AI and Electrified Mobility for a Smarter Drive
The morning commute, for many, is a familiar ballet of stop-and-go, a moment where the promise of technology often feels distant from the reality of crawling traffic.
I remember a client, a tech executive named Priya, who spoke of her daily drive not as a journey, but as a series of exasperating compromises.
Her current EV offered silence and efficiency, but the lingering fear of finding a working charger on a tight schedule, or the slow crawl of replenishment, cast a long shadow over its benefits.
She longed for a car that understood her rhythm, that offered both the peace of electric power and the unwavering confidence of extended range, a vehicle that seamlessly integrated into her demanding life without adding another layer of anxiety.
In our rapidly evolving world, where digital intelligence intertwines with every aspect of our lives, the automotive industry is at the cusp of a similar transformation.
This is not just about faster cars or bigger batteries; it is about redefining the relationship between human and machine, crafting mobility experiences that anticipate needs and dissolve friction.
It is about building vehicles that feel less like appliances and more like intuitive partners on the road ahead.
In short: Xpeng is expanding its P7+ lineup with new hybrid and updated battery-electric versions, designed to cater to diverse driver needs.
These models integrate Xpeng’s advanced AI-driven features, including sophisticated driver-assistance systems, alongside an innovative electric powertrain architecture for enhanced efficiency and driving experiences.
The Evolving Road: Addressing Driver Needs
For years, the choice felt binary: the green credentials and smooth ride of a fully electric vehicle (BEV) often came with range anxiety and charging considerations, or the familiar flexibility of a gasoline-powered car.
Yet, the modern driver, like Priya, increasingly demands a convergence – a vehicle that offers the best of both worlds without the trade-offs.
They want the environmental benefits and quiet operation of an electric car for daily commutes, coupled with the peace of mind of extended range for longer journeys, without protracted waits at charging stations.
This is where the idea of a hybrid, or specifically an Extended-Range Electric Vehicle (EREV), truly shines, offering a bridge to full electrification for many.
It is a counterintuitive insight for some who believe the path must be purely BEV, but the reality is that market diversity and infrastructure readiness make hybrid solutions incredibly compelling, especially in dynamic markets like China.
A Commuter’s Dilemma, Reimagined
Imagine Mark, a sales manager living in a sprawling city.
His weekdays involve multiple client visits across town, often pushing the limits of a typical BEV’s charge if he forgets to plug in overnight.
On weekends, family road trips to visit relatives hundreds of miles away add another layer of complexity, demanding meticulous planning around charging stops.
Mark loves the idea of an electric vehicle, but the practicalities of his varied life always pull him back to conventional gasoline.
He yearns for a solution that removes this mental load, a vehicle that adapts to his unpredictable schedule rather than forcing him to adapt to its limitations.
An EREV, with its dual power sources, promises to address exactly this pain point, offering an electric-first experience with a robust fallback for longer hauls.
Pioneering Intelligence: The Xpeng Approach
In response to these evolving needs, companies like Xpeng are charting new territories, blending advanced engineering with artificial intelligence to redefine mobility.
Their strategy is not merely about adding features; it is about building an AI-defined EV, where intelligence is foundational to the vehicle’s very architecture and operation.
According to Xpeng, their new P7+ models aim to broaden their electrified sedan lineup, offering both a new EREV model and updated battery-electric versions.
This dual approach signals a clear strategy: to diversify their portfolio and cater to different customer preferences, thereby strengthening their footprint in key markets.
At the heart of Xpeng’s innovation lies the Kunpeng super electric system.
This platform, according to Xpeng, is built on an advanced architecture that integrates a sophisticated AI battery pack, a hybrid silicon carbide coaxial electric drive, and a highly efficient range extender.
This combination is designed to deliver smooth hybrid performance, robust acceleration, and an emphasis on both technological innovation and a refined driving experience.
The intention is to balance efficiency with dynamic driving capabilities, aiming for extended range and strong performance.
Beyond the powertrain, the P7+ brings advanced AI directly into everyday driving.
Xpeng describes the P7+ as an AI-defined vehicle, meaning its intelligent features are designed to enhance both the driving experience and the in-car interactions through the company’s latest software architecture.
A core component of this is the built-in AI-powered advanced driver-assistance systems (ADAS), which come standard across the entire P7+ lineup.
This system utilizes Xpeng’s in-house XOS 5.4 platform alongside the AI Hawkeye Visual Solution.
The Hawkeye system, as described by Xpeng, combines multiple high-resolution cameras with millimeter-wave and ultrasonic radars.
This comprehensive sensor suite provides perception, engineered to perform reliably across a wide array of lighting and weather conditions.
The XOS 5.4 platform, meanwhile, aims to improve human-like interaction within the vehicle, designed to enhance capabilities like lane changes and handling complex detours.
Xpeng’s focus here is squarely on delivering smarter, safer driving technology that truly augments the driver’s capabilities.
Navigating the Future: A Playbook for Mobility Innovators
For marketing and AI leaders watching the evolving automotive landscape, Xpeng’s strategic moves offer valuable lessons.
The blend of advanced hardware with sophisticated AI is not just a product spec sheet; it is a blueprint for the future of user experience.
Here is how to think about applying these insights.
- Embrace Portfolio Diversification
Do not assume a one-size-fits-all approach to emerging technologies.
Like Xpeng’s dual BEV and EREV strategy, consider how different customer segments might benefit from varied solutions that still leverage your core technological strengths.
This caters to broader market needs and mitigates risks.
- Lead with an AI-Defined Vision
Instead of merely adding AI as a feature, embed it into your product’s core identity.
How does AI fundamentally reshape the user’s interaction and the product’s capability?
For Xpeng, AI is not just in ADAS; it is envisioned in the battery management and driving dynamics.
Articulate this deep integration.
- Prioritize Seamless User Experience
Focus on how technology dissolves friction, not creates it.
The promise of an AI-driven system is to make tasks easier, safer, and more intuitive.
Invest in user research to identify genuine pain points that AI can genuinely alleviate, such as enhancing driving safety features or improving in-car interaction.
- Highlight the Confidence Factor
Range and charging speed are major psychological barriers for EV adoption.
For marketers, the takeaway is to consistently communicate how your product builds user confidence.
This could be through robust range extenders or efficient power delivery.
- Build a Robust Software Architecture
The AI-defined vehicle relies heavily on an intelligent operating system like XOS 5.4.
Investing in a proprietary, updateable software platform allows for continuous improvement and differentiation.
This transforms a static product into an evolving service.
- Integrate Perceptual Intelligence
Advanced sensor fusion, as seen in Xpeng’s Hawkeye Visual Solution, is critical for reliable ADAS.
Emphasize how multiple sensor types (cameras, radar) work in concert to provide a comprehensive and robust understanding of the vehicle’s surroundings, enhancing safety across varied conditions.
- Communicate Beyond Specs
While technical prowess is important, translate it into tangible human benefits.
What does an efficient powertrain or advanced ADAS do for the driver?
It offers peace of mind, reduces stress, and makes the journey more enjoyable.
The Ethical Crossroads of Autonomous Mobility
While the promise of AI-defined vehicles is exhilarating, it is crucial to acknowledge the inherent risks and ethical considerations.
Integrating sophisticated AI into safety-critical systems demands rigorous attention.
One key risk is over-reliance, where drivers may become complacent, diminishing their own situational awareness.
This can lead to dangerous situations if the AI system encounters an edge case it has not been trained for.
Another trade-off lies in data privacy.
AI systems require vast amounts of data to learn and improve, raising questions about how personal driving data is collected, stored, and utilized.
Companies must be transparent with users about their data practices and ensure robust cybersecurity measures are in place to protect sensitive information.
Mitigation strategies include implementing clear handoff protocols between AI and human drivers, continuous driver education programs, and robust regulatory frameworks that evolve with the technology.
Ethically, designers must prioritize safety and transparency above all else, embedding human-centric values into the algorithms themselves.
This means designing systems that are not just intelligent but also predictable, explainable, and accountable.
Measuring Progress in the AI-Defined Era
For companies venturing into this space, defining success requires more than just traditional automotive metrics.
It demands a holistic view that encompasses both technological performance and human experience.
Key Performance Indicators (KPIs)
- ADAS Engagement Rate, which measures the percentage of driving time where ADAS features are actively used.
- Driver Intervention Rate, which tracks the frequency of human overrides during ADAS operation, indicating system reliability and driver trust.
- User Satisfaction Scores (UX/UI) provide feedback on the intuitiveness and effectiveness of AI-driven features and in-car software.
- Feature Adoption Rate tracks the percentage of users actively utilizing new AI functionalities.
- System Latency & Responsiveness, reflecting the time taken for AI systems to process input and respond.
- Safety Incident Reduction, showing a measurable decrease in accidents attributed to AI-driven safety features.
Tools & Cadence
An effective stack includes telemetry data analytics platforms to track vehicle performance and ADAS usage, combined with robust user feedback mechanisms such as in-app surveys, forums, and direct outreach.
Regular software updates (Over-The-Air, or OTA) are essential, enabling continuous improvement and feature rollouts.
Review cadences should be agile, incorporating monthly performance analytics reviews, quarterly user experience deep-dives, and annual strategic planning sessions to align product roadmaps with evolving AI capabilities and market demands.
This iterative approach allows for rapid adaptation and ensures the AI-defined vision stays ahead of the curve.
Frequently Asked Questions
How do AI-defined vehicles change the driving experience?
AI-defined vehicles aim to make driving more intuitive and safer by integrating intelligence directly into the vehicle’s core functions.
This can include advanced driver-assistance systems (ADAS) that assist with navigation and safety, and intelligent in-car interactions that enhance user convenience.
The goal is to create a more seamless and personalized connection between the driver and the vehicle.
What is an Extended-Range Electric Vehicle (EREV)?
An EREV combines an electric motor for primary propulsion with a small internal combustion engine that acts as a generator to extend the vehicle’s range once the battery is depleted.
This offers the benefits of electric driving for shorter trips and the flexibility of gasoline for longer journeys, addressing potential range concerns.
What is an LFP battery, and why is it used in some EVs?
An LFP (Lithium Iron Phosphate) battery is a type of rechargeable lithium-ion battery.
It is known for its stability, safety, and longer cycle life compared to some other lithium-ion chemistries.
While potentially offering a slightly lower energy density, its durability and cost-effectiveness make it a popular choice for certain electric vehicle applications.
How does Xpeng’s Hawkeye Visual Solution enhance safety?
Xpeng’s Hawkeye Visual Solution, part of its ADAS, uses a combination of multiple high-resolution cameras, millimeter-wave radar, and ultrasonic radars.
This sensor fusion creates a comprehensive and precise perception of the vehicle’s surroundings, enabling advanced safety features and driver assistance even in varying light and weather conditions.
Conclusion
Priya’s initial frustration was not just about a car; it was about the disconnect between technological promise and lived reality.
The emergence of vehicles like the Xpeng P7+, with their blend of advanced AI and versatile electrification, marks a pivotal shift.
It moves us from merely automating tasks to intelligently augmenting the human experience, offering solutions that cater to the nuanced demands of modern life.
By strategically diversifying offerings and deeply embedding AI into the vehicle’s very definition, Xpeng is not just building cars; it is crafting smarter, more confident journeys.
The future of mobility is not just electric; it is intelligently intertwined with our humanity, ready to adapt to our rhythms and amplify our freedom on the open road.
What challenges in your mobility experience could an AI-defined vehicle solve?
Glossary
- EREV (Extended-Range Electric Vehicle): An electric vehicle that uses an electric motor for power but also has a gasoline engine to recharge the battery or provide additional power when needed, extending its range.
- BEV (Battery Electric Vehicle): A vehicle that runs solely on electricity, powered by a battery pack and electric motors, with no gasoline engine.
- LFP battery (Lithium Iron Phosphate battery): A type of rechargeable battery known for its high safety, long lifespan, and cost-effectiveness, commonly used in electric vehicles.
- ADAS (Advanced Driver-Assistance Systems): Technologies designed to assist the driver and enhance car safety through automated functions like adaptive cruise control, lane keeping, and parking assistance.
- 800-volt architecture: A high-voltage electrical system in an EV that allows for faster charging times and more efficient power delivery to the motors.
- Silicon Carbide: A semiconductor material used in power electronics for electric vehicles, which helps improve efficiency and reduce the size of components.
- Kunpeng system: Xpeng’s proprietary integrated electric powertrain and range-extender system, designed for efficiency and performance in their vehicles.
- AI Hawkeye Visual Solution: Xpeng’s advanced vision-based perception system, utilizing cameras and radars to provide detailed environmental sensing for its ADAS features.
Article start from Hers……
Xpeng P7+: Blending AI and Electrified Mobility for a Smarter Drive
The morning commute, for many, is a familiar ballet of stop-and-go, a moment where the promise of technology often feels distant from the reality of crawling traffic.
I remember a client, a tech executive named Priya, who spoke of her daily drive not as a journey, but as a series of exasperating compromises.
Her current EV offered silence and efficiency, but the lingering fear of finding a working charger on a tight schedule, or the slow crawl of replenishment, cast a long shadow over its benefits.
She longed for a car that understood her rhythm, that offered both the peace of electric power and the unwavering confidence of extended range, a vehicle that seamlessly integrated into her demanding life without adding another layer of anxiety.
In our rapidly evolving world, where digital intelligence intertwines with every aspect of our lives, the automotive industry is at the cusp of a similar transformation.
This is not just about faster cars or bigger batteries; it is about redefining the relationship between human and machine, crafting mobility experiences that anticipate needs and dissolve friction.
It is about building vehicles that feel less like appliances and more like intuitive partners on the road ahead.
In short: Xpeng is expanding its P7+ lineup with new hybrid and updated battery-electric versions, designed to cater to diverse driver needs.
These models integrate Xpeng’s advanced AI-driven features, including sophisticated driver-assistance systems, alongside an innovative electric powertrain architecture for enhanced efficiency and driving experiences.
The Evolving Road: Addressing Driver Needs
For years, the choice felt binary: the green credentials and smooth ride of a fully electric vehicle (BEV) often came with range anxiety and charging considerations, or the familiar flexibility of a gasoline-powered car.
Yet, the modern driver, like Priya, increasingly demands a convergence – a vehicle that offers the best of both worlds without the trade-offs.
They want the environmental benefits and quiet operation of an electric car for daily commutes, coupled with the peace of mind of extended range for longer journeys, without protracted waits at charging stations.
This is where the idea of a hybrid, or specifically an Extended-Range Electric Vehicle (EREV), truly shines, offering a bridge to full electrification for many.
It is a counterintuitive insight for some who believe the path must be purely BEV, but the reality is that market diversity and infrastructure readiness make hybrid solutions incredibly compelling, especially in dynamic markets like China.
A Commuter’s Dilemma, Reimagined
Imagine Mark, a sales manager living in a sprawling city.
His weekdays involve multiple client visits across town, often pushing the limits of a typical BEV’s charge if he forgets to plug in overnight.
On weekends, family road trips to visit relatives hundreds of miles away add another layer of complexity, demanding meticulous planning around charging stops.
Mark loves the idea of an electric vehicle, but the practicalities of his varied life always pull him back to conventional gasoline.
He yearns for a solution that removes this mental load, a vehicle that adapts to his unpredictable schedule rather than forcing him to adapt to its limitations.
An EREV, with its dual power sources, promises to address exactly this pain point, offering an electric-first experience with a robust fallback for longer hauls.
Pioneering Intelligence: The Xpeng Approach
In response to these evolving needs, companies like Xpeng are charting new territories, blending advanced engineering with artificial intelligence to redefine mobility.
Their strategy is not merely about adding features; it is about building an AI-defined EV, where intelligence is foundational to the vehicle’s very architecture and operation.
According to Xpeng, their new P7+ models aim to broaden their electrified sedan lineup, offering both a new EREV model and updated battery-electric versions.
This dual approach signals a clear strategy: to diversify their portfolio and cater to different customer preferences, thereby strengthening their footprint in key markets.
At the heart of Xpeng’s innovation lies the Kunpeng super electric system.
This platform, according to Xpeng, is built on an advanced architecture that integrates a sophisticated AI battery pack, a hybrid silicon carbide coaxial electric drive, and a highly efficient range extender.
This combination is designed to deliver smooth hybrid performance, robust acceleration, and an emphasis on both technological innovation and a refined driving experience.
The intention is to balance efficiency with dynamic driving capabilities, aiming for extended range and strong performance.
Beyond the powertrain, the P7+ brings advanced AI directly into everyday driving.
Xpeng describes the P7+ as an AI-defined vehicle, meaning its intelligent features are designed to enhance both the driving experience and the in-car interactions through the company’s latest software architecture.
A core component of this is the built-in AI-powered advanced driver-assistance systems (ADAS), which come standard across the entire P7+ lineup.
This system utilizes Xpeng’s in-house XOS 5.4 platform alongside the AI Hawkeye Visual Solution.
The Hawkeye system, as described by Xpeng, combines multiple high-resolution cameras with millimeter-wave and ultrasonic radars.
This comprehensive sensor suite provides perception, engineered to perform reliably across a wide array of lighting and weather conditions.
The XOS 5.4 platform, meanwhile, aims to improve human-like interaction within the vehicle, designed to enhance capabilities like lane changes and handling complex detours.
Xpeng’s focus here is squarely on delivering smarter, safer driving technology that truly augments the driver’s capabilities.
Navigating the Future: A Playbook for Mobility Innovators
For marketing and AI leaders watching the evolving automotive landscape, Xpeng’s strategic moves offer valuable lessons.
The blend of advanced hardware with sophisticated AI is not just a product spec sheet; it is a blueprint for the future of user experience.
Here is how to think about applying these insights.
- Embrace Portfolio Diversification
Do not assume a one-size-fits-all approach to emerging technologies.
Like Xpeng’s dual BEV and EREV strategy, consider how different customer segments might benefit from varied solutions that still leverage your core technological strengths.
This caters to broader market needs and mitigates risks.
- Lead with an AI-Defined Vision
Instead of merely adding AI as a feature, embed it into your product’s core identity.
How does AI fundamentally reshape the user’s interaction and the product’s capability?
For Xpeng, AI is not just in ADAS; it is envisioned in the battery management and driving dynamics.
Articulate this deep integration.
- Prioritize Seamless User Experience
Focus on how technology dissolves friction, not creates it.
The promise of an AI-driven system is to make tasks easier, safer, and more intuitive.
Invest in user research to identify genuine pain points that AI can genuinely alleviate, such as enhancing driving safety features or improving in-car interaction.
- Highlight the Confidence Factor
Range and charging speed are major psychological barriers for EV adoption.
For marketers, the takeaway is to consistently communicate how your product builds user confidence.
This could be through robust range extenders or efficient power delivery.
- Build a Robust Software Architecture
The AI-defined vehicle relies heavily on an intelligent operating system like XOS 5.4.
Investing in a proprietary, updateable software platform allows for continuous improvement and differentiation.
This transforms a static product into an evolving service.
- Integrate Perceptual Intelligence
Advanced sensor fusion, as seen in Xpeng’s Hawkeye Visual Solution, is critical for reliable ADAS.
Emphasize how multiple sensor types (cameras, radar) work in concert to provide a comprehensive and robust understanding of the vehicle’s surroundings, enhancing safety across varied conditions.
- Communicate Beyond Specs
While technical prowess is important, translate it into tangible human benefits.
What does an efficient powertrain or advanced ADAS do for the driver?
It offers peace of mind, reduces stress, and makes the journey more enjoyable.
The Ethical Crossroads of Autonomous Mobility
While the promise of AI-defined vehicles is exhilarating, it is crucial to acknowledge the inherent risks and ethical considerations.
Integrating sophisticated AI into safety-critical systems demands rigorous attention.
One key risk is over-reliance, where drivers may become complacent, diminishing their own situational awareness.
This can lead to dangerous situations if the AI system encounters an edge case it has not been trained for.
Another trade-off lies in data privacy.
AI systems require vast amounts of data to learn and improve, raising questions about how personal driving data is collected, stored, and utilized.
Companies must be transparent with users about their data practices and ensure robust cybersecurity measures are in place to protect sensitive information.
Mitigation strategies include implementing clear handoff protocols between AI and human drivers, continuous driver education programs, and robust regulatory frameworks that evolve with the technology.
Ethically, designers must prioritize safety and transparency above all else, embedding human-centric values into the algorithms themselves.
This means designing systems that are not just intelligent but also predictable, explainable, and accountable.
Measuring Progress in the AI-Defined Era
For companies venturing into this space, defining success requires more than just traditional automotive metrics.
It demands a holistic view that encompasses both technological performance and human experience.
Key Performance Indicators (KPIs)
- ADAS Engagement Rate, which measures the percentage of driving time where ADAS features are actively used.
- Driver Intervention Rate, which tracks the frequency of human overrides during ADAS operation, indicating system reliability and driver trust.
- User Satisfaction Scores (UX/UI) provide feedback on the intuitiveness and effectiveness of AI-driven features and in-car software.
- Feature Adoption Rate tracks the percentage of users actively utilizing new AI functionalities.
- System Latency & Responsiveness, reflecting the time taken for AI systems to process input and respond.
- Safety Incident Reduction, showing a measurable decrease in accidents attributed to AI-driven safety features.
Tools & Cadence
An effective stack includes telemetry data analytics platforms to track vehicle performance and ADAS usage, combined with robust user feedback mechanisms such as in-app surveys, forums, and direct outreach.
Regular software updates (Over-The-Air, or OTA) are essential, enabling continuous improvement and feature rollouts.
Review cadences should be agile, incorporating monthly performance analytics reviews, quarterly user experience deep-dives, and annual strategic planning sessions to align product roadmaps with evolving AI capabilities and market demands.
This iterative approach allows for rapid adaptation and ensures the AI-defined vision stays ahead of the curve.
Frequently Asked Questions
How do AI-defined vehicles change the driving experience?
AI-defined vehicles aim to make driving more intuitive and safer by integrating intelligence directly into the vehicle’s core functions.
This can include advanced driver-assistance systems (ADAS) that assist with navigation and safety, and intelligent in-car interactions that enhance user convenience.
The goal is to create a more seamless and personalized connection between the driver and the vehicle.
What is an Extended-Range Electric Vehicle (EREV)?
An EREV combines an electric motor for primary propulsion with a small internal combustion engine that acts as a generator to extend the vehicle’s range once the battery is depleted.
This offers the benefits of electric driving for shorter trips and the flexibility of gasoline for longer journeys, addressing potential range concerns.
What is an LFP battery, and why is it used in some EVs?
An LFP (Lithium Iron Phosphate) battery is a type of rechargeable lithium-ion battery.
It is known for its stability, safety, and longer cycle life compared to some other lithium-ion chemistries.
While potentially offering a slightly lower energy density, its durability and cost-effectiveness make it a popular choice for certain electric vehicle applications.
How does Xpeng’s Hawkeye Visual Solution enhance safety?
Xpeng’s Hawkeye Visual Solution, part of its ADAS, uses a combination of multiple high-resolution cameras, millimeter-wave radar, and ultrasonic radars.
This sensor fusion creates a comprehensive and precise perception of the vehicle’s surroundings, enabling advanced safety features and driver assistance even in varying light and weather conditions.
Conclusion
Priya’s initial frustration was not just about a car; it was about the disconnect between technological promise and lived reality.
The emergence of vehicles like the Xpeng P7+, with their blend of advanced AI and versatile electrification, marks a pivotal shift.
It moves us from merely automating tasks to intelligently augmenting the human experience, offering solutions that cater to the nuanced demands of modern life.
By strategically diversifying offerings and deeply embedding AI into the vehicle’s very definition, Xpeng is not just building cars; it is crafting smarter, more confident journeys.
The future of mobility is not just electric; it is intelligently intertwined with our humanity, ready to adapt to our rhythms and amplify our freedom on the open road.
What challenges in your mobility experience could an AI-defined vehicle solve?
Glossary
- EREV (Extended-Range Electric Vehicle): An electric vehicle that uses an electric motor for power but also has a gasoline engine to recharge the battery or provide additional power when needed, extending its range.
- BEV (Battery Electric Vehicle): A vehicle that runs solely on electricity, powered by a battery pack and electric motors, with no gasoline engine.
- LFP battery (Lithium Iron Phosphate battery): A type of rechargeable battery known for its high safety, long lifespan, and cost-effectiveness, commonly used in electric vehicles.
- ADAS (Advanced Driver-Assistance Systems): Technologies designed to assist the driver and enhance car safety through automated functions like adaptive cruise control, lane keeping, and parking assistance.
- 800-volt architecture: A high-voltage electrical system in an EV that allows for faster charging times and more efficient power delivery to the motors.
- Silicon Carbide: A semiconductor material used in power electronics for electric vehicles, which helps improve efficiency and reduce the size of components.
- Kunpeng system: Xpeng’s proprietary integrated electric powertrain and range-extender system, designed for efficiency and performance in their vehicles.
- AI Hawkeye Visual Solution: Xpeng’s advanced vision-based perception system, utilizing cameras and radars to provide detailed environmental sensing for its ADAS features.
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