cff-version: 1.2.0
abstract: "<p>This repository includes local motion planners for<strong> emergency collision avoidance</strong> in automated driving systems. These planners incorporate<strong> stochastic prediction models for other road users</strong> (e.g. vehicles or static obstacles) and <strong>a dynamic prediction model for the ego vehicle</strong>. Further, the planners are formulated as <strong>model predictive control optimization problems</strong> and are designed to find a reference trajectory for the ego vehicle to avoid collision with the road users/obstacles and road boundaries while taking into account the uncertainty in predicting the behavior of other road users. </p><p></p>"
authors:
  - family-names: Gharavi
    given-names: Leila
    orcid: "https://orcid.org/0000-0003-0301-3504"
title: "Proactive Motion Planning Codes for Emergency Collision Avoidance in Highway Scenarios"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/c4c3015e-702a-43dc-9eed-33b9d207604e.v1
license: MIT
date-released: 2023-09-21