At the 2017 ION Autonomous Snowplow Competition, of 8 competing teams UM-Dearborn’s Yeti won second place ($4000) and team Zenith won first place in the new Cooperative Snowplow challenge ($700).
Yeti and Zenith are primarily developed by students from the Intelligent Systems Club (ISC), advised by prof. Rawashdeh. Yeti uses a LIDAR for localization and obstacle avoidance, while Zenith is based on stereo vision.
Some photos and videos can be found on the ISC club’s Twitter page.
