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Automated Vehicle Perception System and Sensor Fusion

version 1.0.1 (350 KB) by David Barnes
The University of Alabama’s EcoCAR Mobility Challenge CAV designs from Year 1 of the competition

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Updated 24 Jul 2019

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This upload contains The University of Alabama’s designs from Year 1 of the EcoCAR Mobility Challenge competition. Included in these files are driving scenarios from the Driving Scenario Designer that test a simulated vision and radar-based perception system as well as an example of utilizing sensor fusion to track a vehicle through a blind spot. There are many people who worked on these designs over the first year of the competition including the Ashley Phan, the Connected and Automated Vehicle Lead, and team member Briana Bryant. This is in conjunction with a Racing Lounge blog post (https://blogs.mathworks.com/racing-lounge/2019/07/24/perception-level-2-automation/) which details the design process of the system and shows test data from actual sensor testing on a vehicle.

Cite As

David Barnes (2020). Automated Vehicle Perception System and Sensor Fusion (https://www.mathworks.com/matlabcentral/fileexchange/72003-automated-vehicle-perception-system-and-sensor-fusion), MATLAB Central File Exchange. Retrieved .

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Updates

1.0.1

Added link to associated post on the Racing Lounge blog.

MATLAB Release Compatibility
Created with R2019a
Compatible with R2017a to any release
Platform Compatibility
Windows macOS Linux