Artificial Intelligence Automotive
Adaptive Autonomous Driving Solution
Published
8 January 2021
Autonomous driving is progressing rapidly, but the transition between human control and machine control remains a major challenge. Vehicles must be able to adjust their level of autonomy based on traffic conditions and driver alertness in order to ensure safety and build user trust.
A critical need: securing control handover
How can smooth and safe handover be ensured in complex situations?
The goal is to design a system capable of adapting the level of autonomy in real time, while providing the driver with a clear and intuitive interface.
The ADAVEC response: intelligent cockpit and embedded AI
The ADAVEC project, supported by Bpifrance and the Région Sud, delivers an intelligent cockpit combining:
- Embedded AI to analyze the environment and the driver’s state.
- Service-oriented architecture (SOA) for flexible integration.
- 3D/VR simulation to test control transfer scenarios.
This approach ensures a safe transition between assisted and autonomous driving, validated through platform testing and simulation.
ADVANS Group: a driving role in the project
AVISTO, an ADVANS Group subsidiary, leads the project and is responsible for:
- Software development of AI and driver monitoring modules.
- Integration with embedded systems and the simulation platform.
- Working in collaboration with ELSYS Design, AVISTO brings its software and electronics engineering expertise to make this innovation a reality.
Conclusion: progress toward future mobility
ADAVEC illustrates the ability of automotive players to innovate for safer and more intuitive autonomous driving. By combining AI, ergonomics, and simulation, this project helps prepare tomorrow’s vehicles to meet safety and user experience challenges.
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Technical skills implemented
Embedded electronic systems
- AI integration in an intelligent cockpit.
- Embedded software development for driver monitoring.
- 3D simulation and VR testing.
AI software engineering
- Design and optimization of algorithms.
- Preparation of datasets and training pipelines.
- Software quality assurance (documentation, testing, CI/CD).
Technologies
Embedded electronic systems
- Service-oriented architecture (SOA) for module integration.
- Hardware/software co-design for embedded AI.
- VR simulator for complex scenarios.
AI software engineering
- Adaptive algorithms for autonomous driving.
- Simulation platforms and safety validation.
- AI frameworks and conversion tools for embedded systems.
Testimonial
“AVISTO was the project coordinator. It developped, at the software level, the driver monitoring modules as well as experience data collection. In coordination with ELSYS Design, it integrated the various solutions and boards at the electronic level. Finally, it ensured deployment on a 3D / virtual reality simulator.”
Christophe Parmentier — Chief Operating Officer, AVISTO
