Instance-Aware Predictive Navigation in Multi-Agent Environments

Understand

In this work, we aim to achieve efficient end-to-end learning of driving policies in dynamic multi-agent environments.

• Predicting and anticipating future events at the object level are critical for making informed driving decisions.
• We propose an Instance-Aware Predictive Control (IPC) approach, which forecasts interactions between agents as well as future scene structures.
• We adopt a novel multi-instance event prediction module to estimate the possible interaction among agents in the ego-centric view, conditioned on the selected action sequence of the ego-vehicle.