DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving

Understand

Accurate prediction is important for operating an autonomous vehicle in interactive scenarios.

• Prediction must be fast, to support multiple requests from a planner exploring a range of possible futures.
• The generated predictions must accurately represent the probabilities of predicted trajectories, while also capturing different modes of behaviour (such as turning left vs continuing straight at a junction).
• To this end, we present DiPA, an interactive predictor that addresses these challenging requirements.