EcoCAR CAVs Team

Team Members: JT Bovee, Mason Cheshier, Wes Taylor

Faculty Advisor: Dr. Sudeep Pasricha

Collaboration With: U.S. Department of Energy, General Motors, MathWorks, and more

Meetings: Fridays 4pm at Lab C1 or CSU Powerhouse Energy Campus

Project Summary

SAE Level 2 autonomy encompasses driving mode-specific execution, using driver assistance systems for both steering and acceleration based on information about the ego vehicle environment. The CSU VIT team aims to build a Level 2 autonomous system presented as a V2X scalable mobility solution for its target market. According to target market research performed by the team and an exhaustive exploration of driving scenarios that arise across routes taken, feature selection and requirement generation are identified and shortlisted. The features selected will serve as the end goal functionalities of the system and the requirements generated will serve as design constraints for the features during the development process of the Connected and Autonomous Vehicles System (CAVs).

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Constraints and Goals

Strategy - Constraint 1

Each of the systems follow a fundamentally different sensor selection strategy which highlight some of the important design points to use while deciding which sensor will be selected. Each of the systems exploit trade-offs between cost, field of view coverage and blind spot elimination.

Conditions - Constraint 2

In the mountain and northwestern states the terrain will generally involve high and constantly changing road curvature and grade in both urban and highway settings. Additionally, the region has notoriously poor weather conditions which are, in themselves, detrimental to CAVs functionality, but also contribute to poor road marking conditions over time, especially on low volume roads.

Goal 1

Using simulated or recorded data, CAVs algorithms can successfully differentiate between vehicles on all sides of host and correctly assign lanes.

Goals 2

In simulation, CAVs system is able to generate trajectories that minimize energy usage on V2V equipped highways and corridors of several I2V intersections.

Project Background

Full project description can be found here

Project Background

The EcoCAR Mobility Challenge (EcoCAR) is the latest U.S. Department of Energy (DOE) Advanced Vehicle Technology Competition (AVTC) series. The four-year competition will challenge 12 university teams to apply advanced propulsion systems, as well as connected and automated vehicle technology to improve the energy efficiency, safety and consumer appeal of the 2019 Chevrolet Blazer – Specifically for the carsharing market. Headline sponsored by DOE, General Motors (GM) and MathWorks, and managed by Argonne National Laboratory, EcoCAR is the heart of automotive ingenuity working towards future mobility solutions.

EcoCAR is aimed at developing a highly skilled, domestic workforce by providing hands-on experience designing and building next-generation mobility solutions to meet our nation’s future energy and mobility challenges. Participating teams will apply advanced propulsion systems, electrification, SAE Level 2 automation, and vehicle connectivity to improve the energy efficiency of a 2019 Chevrolet Blazer – all while balancing factors such as emissions, safety, utility, and consumer acceptability. SAE Level 2 automation refers to a vehicle has combined automated functions, like acceleration and steering, but the driver must remain engaged with the driving task and monitor the environment at all times.