Autonomy: Pedestrian Detection
Synthetic data for computer vision to enable more capable and ethical AI.
Robust pedestrian monitoring is critical for ensuring the safety and performance of driver assistance systems and autonomous vehicles. Predictive pedestrian detection is a form of automotive AI that can help computer vision systems interpret, prepare for and respond to any number of scenarios, with or without driver oversight.
Obtaining training data is difficult given safety risks and the potential for large numbers of edge cases. The most obvious example is a child running in front of a vehicle, a scenario for which it is unethical and impractical to create the necessary training data. Synthetic data enables computer vision engineers to create millions of simulations of such situations, informing the development of critical safety systems.