The shift to end-to-end planning models for powering autonomous vehicles (AVs) is increasing the demand for high-quality, physically-based sensor data. These…
The shift to end-to-end planning models for powering autonomous vehicles (AVs) is increasing the demand for high-quality, physically-based sensor data. These models must have a general understanding of multi-modal datasets, along with the relationships between sensor datasets, vehicle trajectories, and driving actions to help with downstream training and validation tasks. By adapting and post…