From c9baa06c3e5bf439edd99e9c7eeaca1aa2db76b3 Mon Sep 17 00:00:00 2001 From: DerrickXuNu Date: Fri, 30 Jul 2021 15:32:08 -0700 Subject: [PATCH] minor change on readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 360a9ae4..c0f7ebb7 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ well as regular automated driving components (e.g., perception, localization, pl OpenCDA is all in Python. The purpose is to enable researchers to fast-prototype, simulate, and test CDA algorithms and functions. By applying our simulation tool, users can conveniently conduct both task-specific evaluation (e.g. object detection accuracy) and pipeline-level assessment (e.g. traffic safety) on their customized algorithms. -Inspired by the USDOT CDA program, OpenCDA, as an open-source project, makes a unique contribution from the perspective of initial-stage development and testing using simulation. +Inspired by the [USDOT CDA CARMA program](https://its.dot.gov/cda/), OpenCDA, as an open-source project, makes a unique contribution from the perspective of initial-stage development and testing using simulation. Users can consider using OpenCDA for initial algorithmic testing, and should use the [CARMA everything-in-the-loop](https://github.com/usdot-fhwa-stol/carma-simulation) evaluation tool and [CARMA platform](https://github.com/usdot-fhwa-stol/carma-platform) for software platform development and field testing. The key features of OpenCDA are: