Potential for generative AI
Generative AI is a branch of artificial intelligence that can create novel and diverse data from existing data sources. It has the potential to enhance autonomous vehicle development and operations (AVOps) in many of the following ways:
New enhancements to foundational models improve search recommendations with natural language queries that can measure the similarities between images and text.
AI Copilots assist with various tasks such as rating, summarizing, elaborating, converting, and translating requirements and scenarios. Copilots can improve the quality, speed, and cost of software development by reducing errors and rework.
An AI pair programmer can help write code not only faster than humans but also be more consistent with coding and safety standards for automotive requirements.
Generative AI can help create realistic and diverse scenarios for testing and validation of autonomous driving systems. These scenarios greatly reduce the need for costly and time-consuming real-world data collection and annotation.
You can augment the sensor data available from autonomous vehicles with the synthetic data generated by the AI models and enhance the perception, planning, and decision-making capabilities of the vehicles. This helps in improving the robustness and generalization of the systems.
Security AI Copilots can help security teams protect their organizations from cyber threats at machine speed and scale. A Copilot works with the help of a large language model that can understand natural language queries and generate security-specific responses.