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In order to gain better insight into the preferences and behaviors of drivers when they interact with Advanced Driving Assistance Systems (ADAS), Subaru would like to collect naturalistic data from drivers. Students on the Subaru team will design and execute a complete data collection system in a test vehicle provided by Subaru that acquires and stores data including video, vehicle accelerometer, and location data for analysis at a later date.
This faculty research team uses core principles of animal locomotion to create advanced robot technologies by distilling their mathematical principles and using machine learning automation.
Honda Research and Development is leading advancements in the area of mobility, power units, energy, and robotics. The students on the Honda team will work to develop simultaneous localization and mapping algorithms for a small Parallax robot to identify and navigate 2D planes using a time-offlight camera.
Subaru aims to apply electrification technologies to all of its vehicles sold worldwide by the 1st half of 2030. Students on this project will focus on the customer usage aspects of the vehicle to design and build a system to capture and store the data necessary to measure the comfort zone of drivers of electric vehicles through sensors, driving control, and data collection focusing on acceleration and deceleration.
Excessive and growing orbital debris has the potential to damage our on-orbit satellites and platforms, and will impact future missions. Join the team to assess options to mitigate that critical problem.
With over a billion parking spots in the United States, there is plenty of opportunity for people to forget where they parked their car. The students on this team will design and develop an augmented reality wayfinding app that will allow parking customers to use their phone to find their car in a parking structure.
Whirlpool is looking at advanced controls technologies including machine learning, neural networks, and model predictive controllers that will more efficiently cool complex refrigerator systems. Students on this team will evaluate current capabilities on the Python framework that will be fast prototyped and applied in a simulation environment with a conceptual plant model.
This research will make large-scale manufacturing systems safer, more secure, and more productive, enabling them to produce high-quality products for consumers at lower cost.