Huawang Automotive Technology Guangzhou Co., Ltd. · CLIENT: Huawang Automotive Technology (Guangzhou) Co., Ltd.
Aistaland GT7 is a shooting brake coupe that combines a rational industrial form with L3 autonomous driving technology. A continuous blue light band shows the vehicle status from all angles, making the intelligent driving state visible to other road users. An active safety hood protects pedestrians through an adaptive lift mechanism. An 88 inch augmented reality head-up display is integrated into the dashboard curvature, keeping key information within the forward line of sight. LiDAR and DTOF cameras build a three dimensional model of the surroundings.
Press Kit
- Unique Properties
- Aistaland GT7 integrates rational industrial aesthetics with L3-level autonomous technology. Its continuous Intelligent Driving Blue Light system communicates vehicle status with 360 degree clarity, fostering trust in public-road environments. Innovations such as the active safety hood, 88-inch AR-HUD structural integration, Huawei DLP 3.0 projection, and co-developed dynamic tweeter diffuser redefine human-machine interaction, merging safety, structure and emotion into a unified, systematic design.
- Dimensions & Packaging
- Vehicle type: Intelligent shooting brake coupe.
Display system: 88-inch AR-HUD integrated with dashboard.
Autonomous level: L3 intelligent driving with dedicated steering-wheel control interface.
Perception system: LiDAR + DTOF camera fusion for 3D environmental modeling.
Lighting: Continuous Intelligent Driving Blue Light, segmented diffuse-reflection rear lighting.
Safety: Active pedestrian protection hood with adaptive lift mechanism. - Tags
- Intelligent driving, L3 autonomous vehicle, AR-HUD integration, Active safety hood, Human-machine interaction, Rational industrial design, Systematic narrative design, Huawei DLP 3.0, Shooting brake coupe
- Production Technology
- The Aistaland GT7 integrates L3 autonomous architecture with LiDAR and DTOF cameras for high-precision 3D perception modeling. The active hood employs intelligent collision discrimination algorithms and adaptive lifting mechanisms. The 88-inch AR-HUD is structurally synchronized with dashboard curvature and projection geometry. The segmented diffuse-reflection rear light utilizes a Geneva-pattern aluminum panel. Huawei DLP 3.0 enables full-color projection, while the dynamic tweeter diffuser incorporates precision motorized articulation.
- Design Challenge
- The principal challenge was reconciling advanced autonomous systems with a restrained, rational aesthetic language. Balancing regulatory safety requirements, pedestrian protection laws, and complex sensor integration within a pure shooting brake form required precise structural coordination. Another challenge lay in visualizing invisible intelligent states without visual excess. Through systemic integration and interdisciplinary collaboration, technology was internalized into form, achieving clarity, safety, and emotional resonance simultaneously.
- Project Duration
- The project commenced in 2025 in China as a collaborative development between AISTALAND and Huawei. It involved interdisciplinary teams spanning industrial design, intelligent driving engineering, human-machine interaction, and acoustic system development, culminating in a fully integrated prototype ready for public exhibition and media presentation.
- Operation Flow
- The AISTALAND GT7 communicates its intelligent state through a continuous blue light visible from all angles. Drivers access L3 functions via a distinct tactile control zone on the steering wheel. Critical information is projected within the forward line of sight through the integrated AR-HUD, minimizing distraction. The dynamic tweeter responds with subtle nodding and rotating movements, creating emotional interaction. Together, lighting, projection, and motion establish intuitive, trustworthy co-driving.
- Research
- Type of Research: Applied design and engineering research. Research Objectives: To enhance cognitive safety and emotional trust in L3 human-machine co-driving. Methodology: Systematic narrative design integrating form, interaction, and technology. Data Collection and Research Tools Used: Ergonomic testing, perception modeling, simulation of traffic scenarios. Participants or Experiments: Drivers in simulated and real-road evaluations. Results: Reduced cognitive load and improved trust perception. Insights and Impacts: Demonstrated that visible intelligent states enhance safety acceptance, influencing future autonomous vehicle design strategies.
- Inspiration
- The project was inspired by the need to transform intelligent driving from an abstract system into a perceptible, trustworthy presence. Guided by the principle “form follows function,” we explored how rational aesthetics could internalize safety and technology within structural order. Research into cognitive safety, human-machine co-driving, and holistic mobility experiences motivated a design that balances restraint, clarity, and emotional warmth in advanced mobility.
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