AI for Vehicle Safety Systems

Enhance vehicle safety with AI-powered sensing, prediction, and actuation systems.

Vehicle safety systems range from passive protections to active intervention (AEB, stability control, collision avoidance). Artificial intelligence enhances detection and decision-making but must be integrated alongside functional safety, cybersecurity measures, and rigorous validation processes.

These systems aim to prevent collisions, protect occupants and vulnerable road users (VRUs), and deliver transparent, trustworthy interventions that build user confidence.

Sensors (camera/radar/lidar), IMU, CAN, maps, events, driver monitoring.

The core functions of these systems include perception – understanding the surrounding environment – fusion – combining data from multiple sensors – prediction – anticipating potential hazards – risk assessment – evaluating the severity of threats – and control policies – determining appropriate actions.

These technologies are implemented using embedded Electronic Control Units (ECUs) or System-on-Chips (SoCs), Human-Machine Interface (HMI) alerts, actuation interfaces, and Over-The-Air (OTA) update pipelines.

Seatbelt/airbag readiness; child/occupant detection.

VRU (Vulnerable Road User) detection relies on conservative responses to minimize the risk of false positives. This approach prioritizes safety and avoids unnecessary braking or steering maneuvers.

The implementation blueprint outlines a structured process for developing and deploying these features, ensuring adherence to relevant regulations and industry best practices.

Frequently asked questions