Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs

Understand

To safely and efficiently navigate through complex traffic scenarios, autonomous vehicles need to have the ability to predict the future motion of surrounding vehicles.

• Multiple interacting agents, the multi-modal nature of driver behavior, and the inherent uncertainty involved in the task make motion prediction of surrounding vehicles a challenging problem.
• In this paper, we present an LSTM model for interaction aware motion prediction of surrounding vehicles on freeways.
• Our model assigns confidence values to maneuvers being performed by vehicles and outputs a multi-modal distribution over future motion based on them.