Team
Bob Jones University
Embry-Riddle Aeronautical University
Kettering University
Lawrence Technological University
Oakland University
University of Detroit Mercy
United States Military Academy-West Point
Objective: The US Army Ground Vehicle Systems Center (GVSC formerly TARDEC) Ground Vehicle Robotics is advancing the logistics driving automation of the Army’s Robotic Technology Kernal through seven university/college research contracts & USMA collaboration leading to trials at the IGVC Self Drive Challenges starting in 2019 and 2021 held at Oakland University, Rochester Michigan.
Approach: The RTK is an open source code library to share with USA Universities, Colleges and Industry to advance the DoD/Army programs in Mobile Robotics. See below for more information on RTK. The program goal is to advance intelligent vehicle driving aspects of logistics automation. IGVC which has proven over the past twenty five years to be a rigorous and reliable autonomous vehicles test environment for university & college teams was chosen for the test & evaluation environment.. Specifically the Self Drive Challenge of IGVC will be the test environment focusing on low speed driving of FMVSS 500 vehicle platforms, electric vehicle side by side UTVs such as the GEM e2 or equivalent.
RTK uses the open-source Robotic Operating System (ROS) framework. A ROS system consists of many independently running executable program called nodes that communicate by sending and receiving messages. This decoupling between programs allows RTK to be modular and easily portable to arbitrary robotic platforms. It also allows RTK to interact with custom application-specific nodes to provide functionality outside of RTK’s core capabilities.
As a result of this, new ROS nodes should be written and uploaded into the RTK library. Examples can include, but are not limited to: lane detection, parallel parking of vehicle next to boundary lines, obstacle detection or avoidance, vehicle staying within boundaries, how the vehicle reacts when passed by another vehicle, and vehicle collision avoidance among others. Software code will be delivered with government purpose rights.
Bob Jones University
Embry-Riddle Aeronautical University
Kettering University
Lawrence Technological University
Oakland University
University of Detroit Mercy
United States Military Academy-West Point
Objective: The US Army Ground Vehicle Systems Center (GVSC formerly TARDEC) Ground Vehicle Robotics is advancing the logistics driving automation of the Army’s Robotic Technology Kernal through seven university/college research contracts & USMA collaboration leading to trials at the IGVC Self Drive Challenges starting in 2019 and 2021 held at Oakland University, Rochester Michigan.
Approach: The RTK is an open source code library to share with USA Universities, Colleges and Industry to advance the DoD/Army programs in Mobile Robotics. See below for more information on RTK. The program goal is to advance intelligent vehicle driving aspects of logistics automation. IGVC which has proven over the past twenty five years to be a rigorous and reliable autonomous vehicles test environment for university & college teams was chosen for the test & evaluation environment.. Specifically the Self Drive Challenge of IGVC will be the test environment focusing on low speed driving of FMVSS 500 vehicle platforms, electric vehicle side by side UTVs such as the GEM e2 or equivalent.
RTK uses the open-source Robotic Operating System (ROS) framework. A ROS system consists of many independently running executable program called nodes that communicate by sending and receiving messages. This decoupling between programs allows RTK to be modular and easily portable to arbitrary robotic platforms. It also allows RTK to interact with custom application-specific nodes to provide functionality outside of RTK’s core capabilities.
As a result of this, new ROS nodes should be written and uploaded into the RTK library. Examples can include, but are not limited to: lane detection, parallel parking of vehicle next to boundary lines, obstacle detection or avoidance, vehicle staying within boundaries, how the vehicle reacts when passed by another vehicle, and vehicle collision avoidance among others. Software code will be delivered with government purpose rights.