Recovering and Simulating Pedestrians in the Wild

Understand

Sensor simulation is a key component for testing the performance of self-driving vehicles and for data augmentation to better train perception systems.

• Typical approaches rely on artists to create both 3D assets and their animations to generate a new scenario.
• This, however, does not scale.
• In contrast, we propose to recover the shape and motion of pedestrians from sensor readings captured in the wild by a self-driving car driving around.