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.
Union Pacific runs trains all across the United States and with that comes many challenges. As we continue to build our systems, we need to ensure that the data being sent around our network is clean, in sync with other systems, and is easy to query. Students on the Union Pacific team will design and develop the components for building a comprehensive business data store structure and analytics model that will allow easy access to petabytes worth of data from a multitude of devices and systems.
The JPMorgan Chase project team will design and deliver an analytics tool that will monitor and evaluate the current task work assignments of 2,200 global JPMC team members. The tool will recommend reassignment of project work between staff to better balance workloads and improve on-time delivery. All student team members will become JPMC 2022 Summer Interns based in Chicago, Il.
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.
Generative design utilizes topology optimization suggesting novel geometric forms, which are then evaluated for effectiveness against the design criteria (in this case heat transferability, cost, operational life, etc.) and then developed into feasible design solutions. Students on the GM team will develop a generative design process to determine the optimal geometry for a cold-plate cooling design for an electric vehicle.
Navigating 100,000 square feet of casino floor spread out over 2 levels is challenging for both patrons and staff of the MotorCity Casino. Students on the MotorCity Casino team will utilize data from a large and dense network of Bluetooth beacons on the casino floor to create a native Android mobile app.
ProQuest is an educational technology company which provides academic libraries with Rialto, a marketplace which supports evidence-based, data-driven decisions for intelligent book acquisition. Students on this team will use machine learning techniques to deliver a proof of concept system which reliably predicts the likelihood of winning a book award, for each book published in a given year.
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.
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.
Cat Digital, at Caterpillar Inc., uses Internet of Things (IoT) connectivity and advanced analytics to provide prognostic alerts to customers notifying them of potential issues with their equipment to prompt proactive maintenance. Students on this team will analyze and model transactional data to better understand and accurately predict how customers respond to maintenance alerts.
Principal is on the path to implementing new technology to better serve customers, but in the meantime, we face a challenge in serving our existing clients on legacy platforms. This team will be tasked to design a tool to extract customer policy and demographic data from a mainframe system and run it through an actuarial pricing database to provide a premium quote to existing customers.
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.
DENSO is one of the largest global mobility/automotive suppliers of advanced technology, systems, and components. Students on this team will become intimately familiar with DENSO’s core processes in commercial management and product launch readiness, while integrating an API with Toyota Motor Corp to create efficiencies. All team members will become Denso 2022 Summer Interns based in Michigan/Tennessee.
Clarios creates the most advanced battery technologies for virtually every type of vehicle. Students on the Clarios team will develop a tool to collect and communicate the battery state of health to a mobile device to detect potential battery failure and avoid stranding a customer with a dead battery.
The objective of this project is to develop software algorithms for state-of-the-art audio surveillance of aircraft cabin areas to enhance cabin safety and improve the passenger experience. Students on the Collins Audio Analytics team will develop software algorithms to support sound and voice identification, detection, and key word recognition in aircraft interiors.
In order for critical driver alert systems to be universally effective, they must be designed with the broad population in mind, including people with accessibility concerns. The students on the Arriver team will research and design a driver alert system that specifically targets drivers with accessibility issues such as deafness and color blindness.