# Multi-Fidelity Recursive Behavior Prediction

arXiv: https://arxiv.org/abs/1901.01831 · HTML: https://mlsanity.com/paper/1901.01831/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Dec 2018.

## Built on by (most cited first, 2 of 2)

- [Multi-fidelity surrogate modeling using long short-term memory networks](https://mlsanity.com/paper/2208.03115/) (2022)
- [Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes](https://mlsanity.com/paper/2201.01733/) (2022)

## Abstract (arXiv)

Predicting the behavior of surrounding vehicles is a critical problem in automated driving. We present a novel game theoretic behavior prediction model that achieves state of the art prediction accuracy by explicitly reasoning about possible future interaction between agents. We evaluate our approach on the NGSIM vehicle trajectory data set and demonstrate lower root mean square error than state-of-the-art methods.