Developing IncidentUI -- A Ride Comfort and Disengagement Evaluation Application for Autonomous Vehicles

This report details the design, development, and implementation of IncidentUI, an Android tablet application designed to measure user-experienced ride comfort and record disengagement data for autonomous vehicles (AV) during test drives. The goal of our project was to develop an Android application to run on a peripheral tablet and communicate with the Drive Pegasus AGX, the AI Computing Platform for Nvidia's AV Level 2 Autonomy Solution Architecture [1], to detect AV disengagements and report ride comfort. We designed and developed an Android XML-based intuitive user interface for IncidentUI. The development of IncidentUI required a redesign of the system architecture by redeveloping the system communications protocol in Java and implementing the Protocol Buffers (Protobufs) in Java using the existing system Protobuf definitions. The final iteration of IncidentUI yielded the desired functionality while testing on an AV test drive. We also received positive feedback from Nvidia's AV Platform Team during our final IncidentUI demonstration.Comment: Previously embargoed by Nvidia. Nvidia owns the right

Robotics for Disaster Relief

Firefighting is a dangerous occupation and several firefighters die in the line of duty every year around the United States. It is important to do all that we can to mitigate these losses. One such method is to develop tools to aid supervisory personnel at the site of a firefighting incident. The goal of this project was to develop a user interface that would help visualize data that is made available to firefighters through devices and sensors that they have on them as well as the data from potential robots that are part of such operations. Our interface aggregates observations made in studies ranging from human-computer-interaction to search-and-rescue with respect to user interface design elements. We also make recommendations for the development of a fully-working user interface